Research Paper Guide

Research Paper Example

Nova A.

Research Paper Examples - Free Sample Papers for Different Formats!

Published on: Nov 27, 2017

Last updated on: Jan 11, 2024

Research Paper Example

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Crafting a comprehensive research paper can be daunting. Understanding diverse citation styles and various subject areas presents a challenge for many.

Without clear examples, students often feel lost and overwhelmed, unsure of how to start or which style fits their subject.

Explore our collection of expertly written research paper examples. We’ve covered various citation styles and a diverse range of subjects.

So, read on!

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Research Paper Example for Different Formats

Following a specific formatting style is essential while writing a research paper . Knowing the conventions and guidelines for each format can help you in creating a perfect paper. Here we have gathered examples of research paper for most commonly applied citation styles :

Social Media and Social Media Marketing: A Literature Review

APA Research Paper Example

APA (American Psychological Association) style is commonly used in social sciences, psychology, and education. This format is recognized for its clear and concise writing, emphasis on proper citations, and orderly presentation of ideas.

Here are some research paper examples in APA style:

Research Paper Example APA 7th Edition

Research Paper Example MLA

MLA (Modern Language Association) style is frequently employed in humanities disciplines, including literature, languages, and cultural studies. An MLA research paper might explore literature analysis, linguistic studies, or historical research within the humanities. 

Here is an example:

Found Voices: Carl Sagan

Research Paper Example Chicago

Chicago style is utilized in various fields like history, arts, and social sciences. Research papers in Chicago style could delve into historical events, artistic analyses, or social science inquiries. 

Here is a research paper formatted in Chicago style:

Chicago Research Paper Sample

Research Paper Example Harvard

Harvard style is widely used in business, management, and some social sciences. Research papers in Harvard style might address business strategies, case studies, or social policies.

View this sample Harvard style paper here:

Harvard Research Paper Sample

Examples for Different Research Paper Parts

A research paper has different parts. Each part is important for the overall success of the paper. Chapters in a research paper must be written correctly, using a certain format and structure.

The following are examples of how different sections of the research paper can be written.

Research Proposal

The research proposal acts as a detailed plan or roadmap for your study, outlining the focus of your research and its significance. It's essential as it not only guides your research but also persuades others about the value of your study.

Example of Research Proposal

An abstract serves as a concise overview of your entire research paper. It provides a quick insight into the main elements of your study. It summarizes your research's purpose, methods, findings, and conclusions in a brief format.

Research Paper Example Abstract

Literature Review 

A literature review summarizes the existing research on your study's topic, showcasing what has already been explored. This section adds credibility to your own research by analyzing and summarizing prior studies related to your topic.

Literature Review Research Paper Example

Methodology

The methodology section functions as a detailed explanation of how you conducted your research. This part covers the tools, techniques, and steps used to collect and analyze data for your study.

Methods Section of Research Paper Example

How to Write the Methods Section of a Research Paper

The conclusion summarizes your findings, their significance and the impact of your research. This section outlines the key takeaways and the broader implications of your study's results.

Research Paper Conclusion Example

Research Paper Examples for Different Fields

Research papers can be about any subject that needs a detailed study. The following examples show research papers for different subjects.

History Research Paper Sample

Preparing a history research paper involves investigating and presenting information about past events. This may include exploring perspectives, analyzing sources, and constructing a narrative that explains the significance of historical events.

View this history research paper sample:

Many Faces of Generalissimo Fransisco Franco

Sociology Research Paper Sample

In sociology research, statistics and data are harnessed to explore societal issues within a particular region or group. These findings are thoroughly analyzed to gain an understanding of the structure and dynamics present within these communities. 

Here is a sample:

A Descriptive Statistical Analysis within the State of Virginia

Science Fair Research Paper Sample

A science research paper involves explaining a scientific experiment or project. It includes outlining the purpose, procedures, observations, and results of the experiment in a clear, logical manner.

Here are some examples:

Science Fair Paper Format

What Do I Need To Do For The Science Fair?

Psychology Research Paper Sample

Writing a psychology research paper involves studying human behavior and mental processes. This process includes conducting experiments, gathering data, and analyzing results to understand the human mind, emotions, and behavior.

Here is an example psychology paper:

The Effects of Food Deprivation on Concentration and Perseverance

Art History Research Paper Sample

Studying art history includes examining artworks, understanding their historical context, and learning about the artists. This helps analyze and interpret how art has evolved over various periods and regions.

Check out this sample paper analyzing European art and impacts:

European Art History: A Primer

Research Paper Example Outline

Before you plan on writing a well-researched paper, make a rough draft. An outline can be a great help when it comes to organizing vast amounts of research material for your paper.

Here is an outline of a research paper example:

Here is a downloadable sample of a standard research paper outline:

Research Paper Outline

Want to create the perfect outline for your paper? Check out this in-depth guide on creating a research paper outline for a structured paper!

Good Research Paper Examples for Students

Here are some more samples of research paper for students to learn from:

Fiscal Research Center - Action Plan

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Research Paper Example Introduction

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Now that you have explored the research paper examples, you can start working on your research project. Hopefully, these examples will help you understand the writing process for a research paper.

If you're facing challenges with your writing requirements, you can hire our essay writing service .

Our team is experienced in delivering perfectly formatted, 100% original research papers. So, whether you need help with a part of research or an entire paper, our experts are here to deliver.

So, why miss out? Place your ‘ write my research paper ’ request today and get a top-quality research paper!

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APA 7: Sample Paper

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How To Write A Research Paper

Research Paper Example

Nova A.

Research Paper Example - Examples for Different Formats

Published on: Jun 12, 2021

Last updated on: Feb 6, 2024

research paper examples

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Writing a research paper is the most challenging task in a student's academic life. researchers face similar writing process hardships, whether the research paper is to be written for graduate or masters.

A research paper is a writing type in which a detailed analysis, interpretation, and evaluation are made on the topic. It requires not only time but also effort and skills to be drafted correctly.

If you are working on your research paper for the first time, here is a collection of examples that you will need to understand the paper’s format and how its different parts are drafted. Continue reading the article to get free research paper examples.

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Research Paper Example for Different Formats

A research paper typically consists of several key parts, including an introduction, literature review, methodology, results, and annotated bibliography .

When writing a research paper (whether quantitative research or qualitative research ), it is essential to know which format to use to structure your content. Depending on the requirements of the institution, there are mainly four format styles in which a writer drafts a research paper:

Let’s look into each format in detail to understand the fundamental differences and similarities.

Research Paper Example APA

If your instructor asks you to provide a research paper in an APA format, go through the example given below and understand the basic structure. Make sure to follow the format throughout the paper.

APA Research Paper Sample (PDF)

Research Paper Example MLA

Another widespread research paper format is MLA. A few institutes require this format style as well for your research paper. Look at the example provided of this format style to learn the basics.

MLA Research Paper Sample (PDF)

Research Paper Example Chicago

Unlike MLA and APA styles, Chicago is not very common. Very few institutions require this formatting style research paper, but it is essential to learn it. Look at the example given below to understand the formatting of the content and citations in the research paper.

Chicago Research Paper Sample (PDF)

Research Paper Example Harvard

Learn how a research paper through Harvard formatting style is written through this example. Carefully examine how the cover page and other pages are structured.

Harvard Research Paper Sample (PDF)

Examples for Different Research Paper Parts

A research paper is based on different parts. Each part plays a significant role in the overall success of the paper. So each chapter of the paper must be drafted correctly according to a format and structure.

Below are examples of how different sections of the research paper are drafted.

Research Proposal Example

A research proposal is a plan that describes what you will investigate, its significance, and how you will conduct the study.

Research Proposal Sample (PDF)

Abstract Research Paper Example

An abstract is an executive summary of the research paper that includes the purpose of the research, the design of the study, and significant research findings.

It is a small section that is based on a few paragraphs. Following is an example of the abstract to help you draft yours professionally.

Abstract Research Paper Sample (PDF)

Literature Review Research Paper Example

A literature review in a research paper is a comprehensive summary of the previous research on your topic. It studies sources like books, articles, journals, and papers on the relevant research problem to form the basis of the new research.

Writing this section of the research paper perfectly is as important as any part of it.

Literature Review in Research Sample (PDF)

Methods Section of Research Paper Example

The method section comes after the introduction of the research paper that presents the process of collecting data. Basically, in this section, a researcher presents the details of how your research was conducted.

Methods Section in Research Sample (PDF)

Research Paper Conclusion Example

The conclusion is the last part of your research paper that sums up the writer’s discussion for the audience and leaves an impression. This is how it should be drafted:

Research Paper Conclusion Sample (PDF)

Research Paper Examples for Different Fields

The research papers are not limited to a particular field. They can be written for any discipline or subject that needs a detailed study.

In the following section, various research paper examples are given to show how they are drafted for different subjects.

Science Research Paper Example

Are you a science student that has to conduct research? Here is an example for you to draft a compelling research paper for the field of science.

Science Research Paper Sample (PDF)

History Research Paper Example

Conducting research and drafting a paper is not only bound to science subjects. Other subjects like history and arts require a research paper to be written as well. Observe how research papers related to history are drafted.

History Research Paper Sample (PDF)

Psychology Research Paper Example

If you are a psychology student, look into the example provided in the research paper to help you draft yours professionally.

Psychology Research Paper Sample (PDF)

Research Paper Example for Different Levels

Writing a research paper is based on a list of elements. If the writer is not aware of the basic elements, the process of writing the paper will become daunting. Start writing your research paper taking the following steps:

  • Choose a topic
  • Form a strong thesis statement
  • Conduct research
  • Develop a research paper outline

Once you have a plan in your hand, the actual writing procedure will become a piece of cake for you.

No matter which level you are writing a research paper for, it has to be well structured and written to guarantee you better grades.

If you are a college or a high school student, the examples in the following section will be of great help.

Research Paper Outline (PDF)

Research Paper Example for College

Pay attention to the research paper example provided below. If you are a college student, this sample will help you understand how a winning paper is written.

College Research Paper Sample (PDF)

Research Paper Example for High School

Expert writers of CollegeEssay.org have provided an excellent example of a research paper for high school students. If you are struggling to draft an exceptional paper, go through the example provided.

High School Research Paper Sample (PDF)

Examples are essential when it comes to academic assignments. If you are a student and aim to achieve good grades in your assignments, it is suggested to get help from  CollegeEssay.org .

We are the best writing company that delivers essay help for students by providing free samples and writing assistance.

Professional writers have your back, whether you are looking for guidance in writing a lab report, college essay, or research paper.

Simply hire a writer by placing your order at the most reasonable price. You can also take advantage of our essay writer to enhance your writing skills.

Nova A. (Literature, Marketing)

As a Digital Content Strategist, Nova Allison has eight years of experience in writing both technical and scientific content. With a focus on developing online content plans that engage audiences, Nova strives to write pieces that are not only informative but captivating as well.

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Research Paper Examples

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Research paper examples are of great value for students who want to complete their assignments timely and efficiently. If you are a student in the university, your first stop in the quest for research paper examples will be the campus library where you can get to view the research sample papers of lecturers and other professionals in diverse fields plus those of fellow students who preceded you in the campus. Many college departments maintain libraries of previous student work, including large research papers, which current students can examine. Our collection of research paper examples includes:

Academic Writing, Editing, Proofreading, And Problem Solving Services

Get 10% off with 24start discount code, browse sample research papers, anthropology research paper examples.

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sample of research paper

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To Read Examples or Not to Read

When you get an assignment to write a research paper, the first question you ask yourself is ‘Should I look for research paper examples?’ Maybe, I can deal with this task on my own without any help. Is it that difficult?

Thousands of students turn to our service every day for help. It does not mean that they cannot do their assignments on their own. They can, but the reason is different. Writing a research paper demands so much time and energy that asking for assistance seems to be a perfect solution. As the matter of fact, it is a perfect solution, especially, when you need to work to pay for your studying as well.

Firstly, if you search for research paper examples before you start writing, you can save your time significantly. You look at the example and you understand the gist of your assignment within several minutes. Secondly, when you examine some sample paper, you get to know all the requirements. You analyze the structure, the language, and the formatting details. Finally, reading examples helps students to overcome writer’s block, as other people’s ideas can motivate you to discover your own ideas.

A Sample Research Paper on Child Abuse

Research Paper Examples

A research paper is an academic piece of writing, so you need to follow all the requirements and standards. Otherwise, it will be impossible to get the high results. To make it easier for you, we have analyzed the structure and peculiarities of a sample research paper on the topic ‘Child Abuse’.

The paper includes 7300+ words, a detailed outline, citations are in APA formatting style, and bibliography with 28 sources.

To write any paper you need to write a great outline. This is the key to a perfect paper. When you organize your paper, it is easier for you to present the ideas logically, without jumping from one thought to another.

In the outline, you need to name all the parts of your paper. That is to say, an introduction, main body, conclusion, bibliography, some papers require abstract and proposal as well.

A good outline will serve as a guide through your paper making it easier for the reader to follow your ideas.

I. Introduction

Ii. estimates of child abuse: methodological limitations, iii. child abuse and neglect: the legalities, iv. corporal punishment versus child abuse, v. child abuse victims: the patterns, vi. child abuse perpetrators: the patterns, vii. explanations for child abuse, viii. consequences of child abuse and neglect, ix. determining abuse: how to tell whether a child is abused or neglected, x. determining abuse: interviewing children, xi. how can society help abused children and abusive families, introduction.

An introduction should include a thesis statement and the main points that you will discuss in the paper.

A thesis statement is one sentence in which you need to show your point of view. You will then develop this point of view through the whole piece of work:

‘The impact of child abuse affects more than one’s childhood, as the psychological and physical injuries often extend well into adulthood.’

Child abuse is a very real and prominent social problem today. The impact of child abuse affects more than one’s childhood, as the psychological and physical injuries often extend well into adulthood. Most children are defenseless against abuse, are dependent on their caretakers, and are unable to protect themselves from these acts.

Childhood serves as the basis for growth, development, and socialization. Throughout adolescence, children are taught how to become productive and positive, functioning members of society. Much of the socializing of children, particularly in their very earliest years, comes at the hands of family members. Unfortunately, the messages conveyed to and the actions against children by their families are not always the positive building blocks for which one would hope.

In 2008, the Children’s Defense Fund reported that each day in America, 2,421 children are confirmed as abused or neglected, 4 children are killed by abuse or neglect, and 78 babies die before their first birthday. These daily estimates translate into tremendous national figures. In 2006, caseworkers substantiated an estimated 905,000 reports of child abuse or neglect. Of these, 64% suffered neglect, 16% were physically abused, 9% were sexually abused, 7% were emotionally or psychologically maltreated, and 2% were medically neglected. In addition, 15% of the victims experienced “other” types of maltreatment such as abandonment, threats of harm to the child, and congenital drug addiction (National Child Abuse and Neglect Data System, 2006). Obviously, this problem is a substantial one.

In the main body, you dwell upon the topic of your paper. You provide your ideas and support them with evidence. The evidence include all the data and material you have found, analyzed and systematized. You can support your point of view with different statistical data, with surveys, and the results of different experiments. Your task is to show that your idea is right, and make the reader interested in the topic.

In this example, a writer analyzes the issue of child abuse: different statistical data, controversies regarding the topic, examples of the problem and the consequences.

Several issues arise when considering the amount of child abuse that occurs annually in the United States. Child abuse is very hard to estimate because much (or most) of it is not reported. Children who are abused are unlikely to report their victimization because they may not know any better, they still love their abusers and do not want to see them taken away (or do not themselves want to be taken away from their abusers), they have been threatened into not reporting, or they do not know to whom they should report their victimizations. Still further, children may report their abuse only to find the person to whom they report does not believe them or take any action on their behalf. Continuing to muddy the waters, child abuse can be disguised as legitimate injury, particularly because young children are often somewhat uncoordinated and are still learning to accomplish physical tasks, may not know their physical limitations, and are often legitimately injured during regular play. In the end, children rarely report child abuse; most often it is an adult who makes a report based on suspicion (e.g., teacher, counselor, doctor, etc.).

Even when child abuse is reported, social service agents and investigators may not follow up or substantiate reports for a variety of reasons. Parents can pretend, lie, or cover up injuries or stories of how injuries occurred when social service agents come to investigate. Further, there is not always agreement about what should be counted as abuse by service providers and researchers. In addition, social service agencies/agents have huge caseloads and may only be able to deal with the most serious forms of child abuse, leaving the more “minor” forms of abuse unsupervised and unmanaged (and uncounted in the statistical totals).

While most laws about child abuse and neglect fall at the state levels, federal legislation provides a foundation for states by identifying a minimum set of acts and behaviors that define child abuse and neglect. The Federal Child Abuse Prevention and Treatment Act (CAPTA), which stems from the Keeping Children and Families Safe Act of 2003, defines child abuse and neglect as, at minimum, “(1) any recent act or failure to act on the part of a parent or caretaker which results in death, serious physical or emotional harm, sexual abuse, or exploitation; or (2) an act or failure to act which presents an imminent risk or serious harm.”

Using these minimum standards, each state is responsible for providing its own definition of maltreatment within civil and criminal statutes. When defining types of child abuse, many states incorporate similar elements and definitions into their legal statutes. For example, neglect is often defined as failure to provide for a child’s basic needs. Neglect can encompass physical elements (e.g., failure to provide necessary food or shelter, or lack of appropriate supervision), medical elements (e.g., failure to provide necessary medical or mental health treatment), educational elements (e.g., failure to educate a child or attend to special educational needs), and emotional elements (e.g., inattention to a child’s emotional needs, failure to provide psychological care, or permitting the child to use alcohol or other drugs). Failure to meet needs does not always mean a child is neglected, as situations such as poverty, cultural values, and community standards can influence the application of legal statutes. In addition, several states distinguish between failure to provide based on financial inability and failure to provide for no apparent financial reason.

Statutes on physical abuse typically include elements of physical injury (ranging from minor bruises to severe fractures or death) as a result of punching, beating, kicking, biting, shaking, throwing, stabbing, choking, hitting (with a hand, stick, strap, or other object), burning, or otherwise harming a child. Such injury is considered abuse regardless of the intention of the caretaker. In addition, many state statutes include allowing or encouraging another person to physically harm a child (such as noted above) as another form of physical abuse in and of itself. Sexual abuse usually includes activities by a parent or caretaker such as fondling a child’s genitals, penetration, incest, rape, sodomy, indecent exposure, and exploitation through prostitution or the production of pornographic materials.

Finally, emotional or psychological abuse typically is defined as a pattern of behavior that impairs a child’s emotional development or sense of self-worth. This may include constant criticism, threats, or rejection, as well as withholding love, support, or guidance. Emotional abuse is often the most difficult to prove and, therefore, child protective services may not be able to intervene without evidence of harm to the child. Some states suggest that harm may be evidenced by an observable or substantial change in behavior, emotional response, or cognition, or by anxiety, depression, withdrawal, or aggressive behavior. At a practical level, emotional abuse is almost always present when other types of abuse are identified.

Some states include an element of substance abuse in their statutes on child abuse. Circumstances that can be considered substance abuse include (a) the manufacture of a controlled substance in the presence of a child or on the premises occupied by a child (Colorado, Indiana, Iowa, Montana, South Dakota, Tennessee, and Virginia); (b) allowing a child to be present where the chemicals or equipment for the manufacture of controlled substances are used (Arizona, New Mexico); (c) selling, distributing, or giving drugs or alcohol to a child (Florida, Hawaii, Illinois, Minnesota, and Texas); (d) use of a controlled substance by a caregiver that impairs the caregiver’s ability to adequately care for the child (Kentucky, New York, Rhode Island, and Texas); and (e) exposure of the child to drug paraphernalia (North Dakota), the criminal sale or distribution of drugs (Montana, Virginia), or drug-related activity (District of Columbia).

One of the most difficult issues with which the U.S. legal system must contend is that of allowing parents the right to use corporal punishment when disciplining a child, while not letting them cross over the line into the realm of child abuse. Some parents may abuse their children under the guise of discipline, and many instances of child abuse arise from angry parents who go too far when disciplining their children with physical punishment. Generally, state statutes use terms such as “reasonable discipline of a minor,” “causes only temporary, short-term pain,” and may cause “the potential for bruising” but not “permanent damage, disability, disfigurement or injury” to the child as ways of indicating the types of discipline behaviors that are legal. However, corporal punishment that is “excessive,” “malicious,” “endangers the bodily safety of,” or is “an intentional infliction of injury” is not allowed under most state statutes (e.g., state of Florida child abuse statute).

Most research finds that the use of physical punishment (most often spanking) is not an effective method of discipline. The literature on this issue tends to find that spanking stops misbehavior, but no more effectively than other firm measures. Further, it seems to hinder rather than improve general compliance/obedience (particularly when the child is not in the presence of the punisher). Researchers have also explained why physical punishment is not any more effective at gaining child compliance than nonviolent forms of discipline. Some of the problems that arise when parents use spanking or other forms of physical punishment include the fact that spanking does not teach what children should do, nor does it provide them with alternative behavior options should the circumstance arise again. Spanking also undermines reasoning, explanation, or other forms of parental instruction because children cannot learn, reason, or problem solve well while experiencing threat, pain, fear, or anger. Further, the use of physical punishment is inconsistent with nonviolent principles, or parental modeling. In addition, the use of spanking chips away at the bonds of affection between parents and children, and tends to induce resentment and fear. Finally, it hinders the development of empathy and compassion in children, and they do not learn to take responsibility for their own behavior (Pitzer, 1997).

One of the biggest problems with the use of corporal punishment is that it can escalate into much more severe forms of violence. Usually, parents spank because they are angry (and somewhat out of control) and they can’t think of other ways to discipline. When parents are acting as a result of emotional triggers, the notion of discipline is lost while punishment and pain become the foci.

In 2006, of the children who were found to be victims of child abuse, nearly 75% of them were first-time victims (or had not come to the attention of authorities prior). A slight majority of child abuse victims were girls—51.5%, compared to 48% of abuse victims being boys. The younger the child, the more at risk he or she is for child abuse and neglect victimization. Specifically, the rate for infants (birth to 1 year old) was approximately 24 per 1,000 children of the same age group. The victimization rate for children 1–3 years old was 14 per 1,000 children of the same age group. The abuse rate for children aged 4– 7 years old declined further to 13 per 1,000 children of the same age group. African American, American Indian, and Alaska Native children, as well as children of multiple races, had the highest rates of victimization. White and Latino children had lower rates, and Asian children had the lowest rates of child abuse and neglect victimization. Regarding living arrangements, nearly 27% of victims were living with a single mother, 20% were living with married parents, while 22% were living with both parents but the marital status was unknown. (This reporting element had nearly 40% missing data, however.) Regarding disability, nearly 8% of child abuse victims had some degree of mental retardation, emotional disturbance, visual or hearing impairment, learning disability, physical disability, behavioral problems, or other medical problems. Unfortunately, data indicate that for many victims, the efforts of the child protection services system were not successful in preventing subsequent victimization. Children who had been prior victims of maltreatment were 96% more likely to experience another occurrence than those who were not prior victims. Further, child victims who were reported to have a disability were 52% more likely to experience recurrence than children without a disability. Finally, the oldest victims (16–21 years of age) were the least likely to experience a recurrence, and were 51% less likely to be victimized again than were infants (younger than age 1) (National Child Abuse and Neglect Data System, 2006).

Child fatalities are the most tragic consequence of maltreatment. Yet, each year, children die from abuse and neglect. In 2006, an estimated 1,530 children in the United States died due to abuse or neglect. The overall rate of child fatalities was 2 deaths per 100,000 children. More than 40% of child fatalities were attributed to neglect, but physical abuse also was a major contributor. Approximately 78% of the children who died due to child abuse and neglect were younger than 4 years old, and infant boys (younger than 1) had the highest rate of fatalities at 18.5 deaths per 100,000 boys of the same age in the national population. Infant girls had a rate of 14.7 deaths per 100,000 girls of the same age (National Child Abuse and Neglect Data System, 2006).

One question to be addressed regarding child fatalities is why infants have such a high rate of death when compared to toddlers and adolescents. Children under 1 year old pose an immense amount of responsibility for their caretakers: they are completely dependent and need constant attention. Children this age are needy, impulsive, and not amenable to verbal control or effective communication. This can easily overwhelm vulnerable parents. Another difficulty associated with infants is that they are physically weak and small. Injuries to infants can be fatal, while similar injuries to older children might not be. The most common cause of death in children less than 1 year is cerebral trauma (often the result of shaken-baby syndrome). Exasperated parents can deliver shakes or blows without realizing how little it takes to cause irreparable or fatal damage to an infant. Research informs us that two of the most common triggers for fatal child abuse are crying that will not cease and toileting accidents. Both of these circumstances are common in infants and toddlers whose only means of communication often is crying, and who are limited in mobility and cannot use the toilet. Finally, very young children cannot assist in injury diagnoses. Children who have been injured due to abuse or neglect often cannot communicate to medical professionals about where it hurts, how it hurts, and so forth. Also, nonfatal injuries can turn fatal in the absence of care by neglectful parents or parents who do not want medical professionals to possibly identify an injury as being the result of abuse.

Estimates reveal that nearly 80% of perpetrators of child abuse were parents of the victim. Other relatives accounted for nearly 7%, and unmarried partners of parents made up 4% of perpetrators. Of those perpetrators that were parents, over 90% were biological parents, 4% were stepparents, and 0.7% were adoptive parents. Of this group, approximately 58% of perpetrators were women and 42% were men. Women perpetrators are typically younger than men. The average age for women abusers was 31 years old, while for men the average was 34 years old. Forty percent of women who abused were younger than 30 years of age, compared with 33% of men being under 30. The racial distribution of perpetrators is similar to that of victims. Fifty-four percent were white, 21% were African American, and 20% were Hispanic/Latino (National Child Abuse and Neglect Data System, 2006).

There are many factors that are associated with child abuse. Some of the more common/well-accepted explanations are individual pathology, parent–child interaction, past abuse in the family (or social learning), situational factors, and cultural support for physical punishment along with a lack of cultural support for helping parents here in the United States.

The first explanation centers on the individual pathology of a parent or caretaker who is abusive. This theory focuses on the idea that people who abuse their children have something wrong with their individual personality or biological makeup. Such psychological pathologies may include having anger control problems; being depressed or having post-partum depression; having a low tolerance for frustration (e.g., children can be extremely frustrating: they don’t always listen; they constantly push the line of how far they can go; and once the line has been established, they are constantly treading on it to make sure it hasn’t moved. They are dependent and self-centered, so caretakers have very little privacy or time to themselves); being rigid (e.g., having no tolerance for differences—for example, what if your son wanted to play with dolls? A rigid father would not let him, laugh at him for wanting to, punish him when he does, etc.); having deficits in empathy (parents who cannot put themselves in the shoes of their children cannot fully understand what their children need emotionally); or being disorganized, inefficient, and ineffectual. (Parents who are unable to manage their own lives are unlikely to be successful at managing the lives of their children, and since many children want and need limits, these parents are unable to set them or adhere to them.)

Biological pathologies that may increase the likelihood of someone becoming a child abuser include having substance abuse or dependence problems, or having persistent or reoccurring physical health problems (especially health problems that can be extremely painful and can cause a person to become more self-absorbed, both qualities that can give rise to a lack of patience, lower frustration tolerance, and increased stress).

The second explanation for child abuse centers on the interaction between the parent and the child, noting that certain types of parents are more likely to abuse, and certain types of children are more likely to be abused, and when these less-skilled parents are coupled with these more difficult children, child abuse is the most likely to occur. Discussion here focuses on what makes a parent less skilled, and what makes a child more difficult. Characteristics of unskilled parents are likely to include such traits as only pointing out what children do wrong and never giving any encouragement for good behavior, and failing to be sensitive to the emotional needs of children. Less skilled parents tend to have unrealistic expectations of children. They may engage in role reversal— where the parents make the child take care of them—and view the parent’s happiness and well-being as the responsibility of the child. Some parents view the parental role as extremely stressful and experience little enjoyment from being a parent. Finally, less-skilled parents tend to have more negative perceptions regarding their child(ren). For example, perhaps the child has a different shade of skin than they expected and this may disappoint or anger them, they may feel the child is being manipulative (long before children have this capability), or they may view the child as the scapegoat for all the parents’ or family’s problems. Theoretically, parents with these characteristics would be more likely to abuse their children, but if they are coupled with having a difficult child, they would be especially likely to be abusive. So, what makes a child more difficult? Certainly, through no fault of their own, children may have characteristics that are associated with child care that is more demanding and difficult than in the “normal” or “average” situation. Such characteristics can include having physical and mental disabilities (autism, attention deficit hyperactivity disorder [ADHD], hyperactivity, etc.); the child may be colicky, frequently sick, be particularly needy, or cry more often. In addition, some babies are simply unhappier than other babies for reasons that cannot be known. Further, infants are difficult even in the best of circumstances. They are unable to communicate effectively, and they are completely dependent on their caretakers for everything, including eating, diaper changing, moving around, entertainment, and emotional bonding. Again, these types of children, being more difficult, are more likely to be victims of child abuse.

Nonetheless, each of these types of parents and children alone cannot explain the abuse of children, but it is the interaction between them that becomes the key. Unskilled parents may produce children that are happy and not as needy, and even though they are unskilled, they do not abuse because the child takes less effort. At the same time, children who are more difficult may have parents who are skilled and are able to handle and manage the extra effort these children take with aplomb. However, risks for child abuse increase when unskilled parents must contend with difficult children.

Social learning or past abuse in the family is a third common explanation for child abuse. Here, the theory concentrates not only on what children learn when they see or experience violence in their homes, but additionally on what they do not learn as a result of these experiences. Social learning theory in the context of family violence stresses that if children are abused or see abuse (toward siblings or a parent), those interactions and violent family members become the representations and role models for their future familial interactions. In this way, what children learn is just as important as what they do not learn. Children who witness or experience violence may learn that this is the way parents deal with children, or that violence is an acceptable method of child rearing and discipline. They may think when they become parents that “violence worked on me when I was a child, and I turned out fine.” They may learn unhealthy relationship interaction patterns; children may witness the negative interactions of parents and they may learn the maladaptive or violent methods of expressing anger, reacting to stress, or coping with conflict.

What is equally as important, though, is that they are unlikely to learn more acceptable and nonviolent ways of rearing children, interacting with family members, and working out conflict. Here it may happen that an adult who was abused as a child would like to be nonviolent toward his or her own children, but when the chips are down and the child is misbehaving, this abused-child-turned-adult does not have a repertoire of nonviolent strategies to try. This parent is more likely to fall back on what he or she knows as methods of discipline.

Something important to note here is that not all abused children grow up to become abusive adults. Children who break the cycle were often able to establish and maintain one healthy emotional relationship with someone during their childhoods (or period of young adulthood). For instance, they may have received emotional support from a nonabusing parent, or they received social support and had a positive relationship with another adult during their childhood (e.g., teacher, coach, minister, neighbor, etc.). Abused children who participate in therapy during some period of their lives can often break the cycle of violence. In addition, adults who were abused but are able to form an emotionally supportive and satisfying relationship with a mate can make the transition to being nonviolent in their family interactions.

Moving on to a fourth familiar explanation for child abuse, there are some common situational factors that influence families and parents and increase the risks for child abuse. Typically, these are factors that increase family stress or social isolation. Specifically, such factors may include receiving public assistance or having low socioeconomic status (a combination of low income and low education). Other factors include having family members who are unemployed, underemployed (working in a job that requires lower qualifications than an individual possesses), or employed only part time. These financial difficulties cause great stress for families in meeting the needs of the individual members. Other stress-inducing familial characteristics are single-parent households and larger family size. Finally, social isolation can be devastating for families and family members. Having friends to talk to, who can be relied upon, and with whom kids can be dropped off occasionally is tremendously important for personal growth and satisfaction in life. In addition, social isolation and stress can cause individuals to be quick to lose their tempers, as well as cause people to be less rational in their decision making and to make mountains out of mole hills. These situations can lead families to be at greater risk for child abuse.

Finally, cultural views and supports (or lack thereof) can lead to greater amounts of child abuse in a society such as the United States. One such cultural view is that of societal support for physical punishment. This is problematic because there are similarities between the way criminals are dealt with and the way errant children are handled. The use of capital punishment is advocated for seriously violent criminals, and people are quick to use such idioms as “spare the rod and spoil the child” when it comes to the discipline or punishment of children. In fact, it was not until quite recently that parenting books began to encourage parents to use other strategies than spanking or other forms of corporal punishment in the discipline of their children. Only recently, the American Academy of Pediatrics has come out and recommended that parents do not spank or use other forms of violence on their children because of the deleterious effects such methods have on youngsters and their bonds with their parents. Nevertheless, regardless of recommendations, the culture of corporal punishment persists.

Another cultural view in the United States that can give rise to greater incidents of child abuse is the belief that after getting married, couples of course should want and have children. Culturally, Americans consider that children are a blessing, raising kids is the most wonderful thing a person can do, and everyone should have children. Along with this notion is the idea that motherhood is always wonderful; it is the most fulfilling thing a woman can do; and the bond between a mother and her child is strong, glorious, and automatic—all women love being mothers. Thus, culturally (and theoretically), society nearly insists that married couples have children and that they will love having children. But, after children are born, there is not much support for couples who have trouble adjusting to parenthood, or who do not absolutely love their new roles as parents. People look askance at parents who need help, and cannot believe parents who say anything negative about parenthood. As such, theoretically, society has set up a situation where couples are strongly encouraged to have kids, are told they will love kids, but then society turns a blind or disdainful eye when these same parents need emotional, financial, or other forms of help or support. It is these types of cultural viewpoints that increase the risks for child abuse in society.

The consequences of child abuse are tremendous and long lasting. Research has shown that the traumatic experience of childhood abuse is life changing. These costs may surface during adolescence, or they may not become evident until abused children have grown up and become abusing parents or abused spouses. Early identification and treatment is important to minimize these potential long-term effects. Whenever children say they have been abused, it is imperative that they be taken seriously and their abuse be reported. Suspicions of child abuse must be reported as well. If there is a possibility that a child is or has been abused, an investigation must be conducted.

Children who have been abused may exhibit traits such as the inability to love or have faith in others. This often translates into adults who are unable to establish lasting and stable personal relationships. These individuals have trouble with physical closeness and touching as well as emotional intimacy and trust. Further, these qualities tend to cause a fear of entering into new relationships, as well as the sabotaging of any current ones.

Psychologically, children who have been abused tend to have poor self-images or are passive, withdrawn, or clingy. They may be angry individuals who are filled with rage, anxiety, and a variety of fears. They are often aggressive, disruptive, and depressed. Many abused children have flashbacks and nightmares about the abuse they have experienced, and this may cause sleep problems as well as drug and alcohol problems. Posttraumatic stress disorder (PTSD) and antisocial personality disorder are both typical among maltreated children. Research has also shown that most abused children fail to reach “successful psychosocial functioning,” and are thus not resilient and do not resume a “normal life” after the abuse has ended.

Socially (and likely because of these psychological injuries), abused children have trouble in school, will have difficulty getting and remaining employed, and may commit a variety of illegal or socially inappropriate behaviors. Many studies have shown that victims of child abuse are likely to participate in high-risk behaviors such as alcohol or drug abuse, the use of tobacco, and high-risk sexual behaviors (e.g., unprotected sex, large numbers of sexual partners). Later in life, abused children are more likely to have been arrested and homeless. They are also less able to defend themselves in conflict situations and guard themselves against repeated victimizations.

Medically, abused children likely will experience health problems due to the high frequency of physical injuries they receive. In addition, abused children experience a great deal of emotional turmoil and stress, which can also have a significant impact on their physical condition. These health problems are likely to continue occurring into adulthood. Some of these longer-lasting health problems include headaches; eating problems; problems with toileting; and chronic pain in the back, stomach, chest, and genital areas. Some researchers have noted that abused children may experience neurological impairment and problems with intellectual functioning, while others have found a correlation between abuse and heart, lung, and liver disease, as well as cancer (Thomas, 2004).

Victims of sexual abuse show an alarming number of disturbances as adults. Some dislike and avoid sex, or experience sexual problems or disorders, while other victims appear to enjoy sexual activities that are self-defeating or maladaptive—normally called “dysfunctional sexual behavior”—and have many sexual partners.

Abused children also experience a wide variety of developmental delays. Many do not reach physical, cognitive, or emotional developmental milestones at the typical time, and some never accomplish what they are supposed to during childhood socialization. In the next section, these developmental delays are discussed as a means of identifying children who may be abused.

There are two primary ways of identifying children who are abused: spotting and evaluating physical injuries, and detecting and appraising developmental delays. Distinguishing physical injuries due to abuse can be difficult, particularly among younger children who are likely to get hurt or receive injuries while they are playing and learning to become ambulatory. Nonetheless, there are several types of wounds that children are unlikely to give themselves during their normal course of play and exploration. These less likely injuries may signal instances of child abuse.

While it is true that children are likely to get bruises, particularly when they are learning to walk or crawl, bruises on infants are not normal. Also, the back of the legs, upper arms, or on the chest, neck, head, or genitals are also locations where bruises are unlikely to occur during normal childhood activity. Further, bruises with clean patterns, like hand prints, buckle prints, or hangers (to name a few), are good examples of the types of bruises children do not give themselves.

Another area of physical injury where the source of the injury can be difficult to detect is fractures. Again, children fall out of trees, or crash their bikes, and can break limbs. These can be normal parts of growing up. However, fractures in infants less than 12 months old are particularly suspect, as infants are unlikely to be able to accomplish the types of movement necessary to actually break a leg or an arm. Further, multiple fractures, particularly more than one on a bone, should be examined more closely. Spiral or torsion fractures (when the bone is broken by twisting) are suspect because when children break their bones due to play injuries, the fractures are usually some other type (e.g., linear, oblique, compacted). In addition, when parents don’t know about the fracture(s) or how it occurred, abuse should be considered, because when children get these types of injuries, they need comfort and attention.

Head and internal injuries are also those that may signal abuse. Serious blows to the head cause internal head injuries, and this is very different from the injuries that result from bumping into things. Abused children are also likely to experience internal injuries like those to the abdomen, liver, kidney, and bladder. They may suffer a ruptured spleen, or intestinal perforation. These types of damages rarely happen by accident.

Burns are another type of physical injury that can happen by accident or by abuse. Nevertheless, there are ways to tell these types of burn injuries apart. The types of burns that should be examined and investigated are those where the burns are in particular locations. Burns to the bottom of the feet, genitals, abdomen, or other inaccessible spots should be closely considered. Burns of the whole hand or those to the buttocks are also unlikely to happen as a result of an accident.

Turning to the detection and appraisal of developmental delays, one can more readily assess possible abuse by considering what children of various ages should be able to accomplish, than by noting when children are delayed and how many milestones on which they are behind schedule. Importantly, a few delays in reaching milestones can be expected, since children develop individually and not always according to the norm. Nonetheless, when children are abused, their development is likely to be delayed in numerous areas and across many milestones.

As children develop and grow, they should be able to crawl, walk, run, talk, control going to the bathroom, write, set priorities, plan ahead, trust others, make friends, develop a good self-image, differentiate between feeling and behavior, and get their needs met in appropriate ways. As such, when children do not accomplish these feats, their circumstances should be examined.

Infants who are abused or neglected typically develop what is termed failure to thrive syndrome. This syndrome is characterized by slow, inadequate growth, or not “filling out” physically. They have a pale, colorless complexion and dull eyes. They are not likely to spend much time looking around, and nothing catches their eyes. They may show other signs of lack of nutrition such as cuts, bruises that do not heal in a timely way, and discolored fingernails. They are also not trusting and may not cry much, as they are not expecting to have their needs met. Older infants may not have developed any language skills, or these developments are quite slow. This includes both verbal and nonverbal means of communication.

Toddlers who are abused often become hypervigilant about their environments and others’ moods. They are more outwardly focused than a typical toddler (who is quite self-centered) and may be unable to separate themselves as individuals, or consider themselves as distinct beings. In this way, abused toddlers cannot focus on tasks at hand because they are too concerned about others’ reactions. They don’t play with toys, have no interest in exploration, and seem unable to enjoy life. They are likely to accept losses with little reaction, and may have age-inappropriate knowledge of sex and sexual relations. Finally, toddlers, whether they are abused or not, begin to mirror their parents’ behaviors. Thus, toddlers who are abused may mimic the abuse when they are playing with dolls or “playing house.”

Developmental delays can also be detected among abused young adolescents. Some signs include the failure to learn cause and effect, since their parents are so inconsistent. They have no energy for learning and have not developed beyond one- or two-word commands. They probably cannot follow complicated directions (such as two to three tasks per instruction), and they are unlikely to be able to think for themselves. Typically, they have learned that failure is totally unacceptable, but they are more concerned with the teacher’s mood than with learning and listening to instruction. Finally, they are apt to have been inadequately toilet trained and thus may be unable to control their bladders.

Older adolescents, because they are likely to have been abused for a longer period of time, continue to get further and further behind in their developmental achievements. Abused children this age become family nurturers. They take care of their parents and cater to their parents’ needs, rather than the other way around. In addition, they probably take care of any younger siblings and do the household chores. Because of these default responsibilities, they usually do not participate in school activities; they frequently miss days at school; and they have few, if any, friends. Because they have become so hypervigilant and have increasingly delayed development, they lose interest in and become disillusioned with education. They develop low self-esteem and little confidence, but seem old for their years. Children this age who are abused are still likely to be unable to control their bladders and may have frequent toileting accidents.

Other developmental delays can occur and be observed in abused and neglected children of any age. For example, malnutrition and withdrawal can be noticed in infants through teenagers. Maltreated children frequently have persistent or untreated illnesses, and these can become permanent disabilities if medical conditions go untreated for a long enough time. Another example can be the consequences of neurological damage. Beyond being a medical issue, this type of damage can cause problems with social behavior and impulse control, which, again, can be discerned in various ages of children.

Once child abuse is suspected, law enforcement officers, child protection workers, or various other practitioners may need to interview the child about the abuse or neglect he or she may have suffered. Interviewing children can be extremely difficult because children at various stages of development can remember only certain parts or aspects of the events in their lives. Also, interviewers must be careful that they do not put ideas or answers into the heads of the children they are interviewing. There are several general recommendations when interviewing children about the abuse they may have experienced. First, interviewers must acknowledge that even when children are abused, they likely still love their parents. They do not want to be taken away from their parents, nor do they want to see their parents get into trouble. Interviewers must not blame the parents or be judgmental about them or the child’s family. Beyond that, interviews should take place in a safe, neutral location. Interviewers can use dolls and role-play to help children express the types of abuse of which they may be victims.

Finally, interviewers must ask age-appropriate questions. For example, 3-year-olds can probably only answer questions about what happened and who was involved. Four- to five-year-olds can also discuss where the incidents occurred. Along with what, who, and where, 6- to 8-year-olds can talk about the element of time, or when the abuse occurred. Nine- to 10-year-olds are able to add commentary about the number of times the abuse occurred. Finally, 11-year-olds and older children can additionally inform interviewers about the circumstances of abusive instances.

A conclusion is not a summary of what a writer has already mentioned. On the contrary, it is the last point made. Taking every detail of the investigation, the researcher makes the concluding point. In this part of a paper, you need to put a full stop in your research. You need to persuade the reader in your opinion.

Never add any new information in the conclusion. You can present solutions to the problem and you dwell upon the results, but only if this information has been already mentioned in the main body.

Child advocates recommend a variety of strategies to aid families and children experiencing abuse. These recommendations tend to focus on societal efforts as well as more individual efforts. One common strategy advocated is the use of public service announcements that encourage individuals to report any suspected child abuse. Currently, many mandatory reporters (those required by law to report abuse such as teachers, doctors, and social service agency employees) and members of communities feel that child abuse should not be reported unless there is substantial evidence that abuse is indeed occurring. Child advocates stress that this notion should be changed, and that people should report child abuse even if it is only suspected. Public service announcements should stress that if people report suspected child abuse, the worst that can happen is that they might be wrong, but in the grander scheme of things that is really not so bad.

Child advocates also stress that greater interagency cooperation is needed. This cooperation should be evident between women’s shelters, child protection agencies, programs for at-risk children, medical agencies, and law enforcement officers. These agencies typically do not share information, and if they did, more instances of child abuse would come to the attention of various authorities and could be investigated and managed. Along these lines, child protection agencies and programs should receive more funding. When budgets are cut, social services are often the first things to go or to get less financial support. Child advocates insist that with more resources, child protection agencies could hire more workers, handle more cases, conduct more investigations, and follow up with more children and families.

Continuing, more educational efforts must be initiated about issues such as punishment and discipline styles and strategies; having greater respect for children; as well as informing the community about what child abuse is, and how to recognize it. In addition, Americans must alter the cultural orientation about child bearing and child rearing. Couples who wish to remain child-free must be allowed to do so without disdain. And, it must be acknowledged that raising children is very difficult, is not always gloriously wonderful, and that parents who seek help should be lauded and not criticized. These kinds of efforts can help more children to be raised in nonviolent, emotionally satisfying families, and thus become better adults.

Bibliography

When you write a paper, make sure you are aware of all the formatting requirements. Incorrect formatting can lower your mark, so do not underestimate the importance of this part.

Organizing your bibliography is quite a tedious and time-consuming task. Still, you need to do it flawlessly. For this reason, analyze all the standards you need to meet or ask professionals to help you with it. All the comas, colons, brackets etc. matter. They truly do.

Bibliography:

  • American Academy of Pediatrics: https://www.aap.org/
  • Bancroft, L., & Silverman, J. G. (2002). The batterer as parent. Thousand Oaks, CA: Sage.
  • Child Abuse Prevention and Treatment Act, 42 U.S.C.A. § 5106g (1998).
  • Childhelp: Child Abuse Statistics: https://www.childhelp.org/child-abuse-statistics/
  • Children’s Defense Fund: https://www.childrensdefense.org/
  • Child Stats.gov: https://www.childstats.gov/
  • Child Welfare League of America: https://www.cwla.org/
  • Crosson-Tower, C. (2008). Understanding child abuse and neglect (7th ed.). Boston: Allyn & Bacon.
  • DeBecker, G. (1999). Protecting the gift: Keeping children and teenagers safe (and parents sane). New York: Bantam Dell.
  • Family Research Laboratory at the University of New Hampshire: https://cola.unh.edu/family-research-laboratory
  • Guterman, N. B. (2001). Stopping child maltreatment before it starts: Emerging horizons in early home visitation services. Thousand Oaks, CA: Sage.
  • Herman, J. L. (2000). Father-daughter incest. Cambridge, MA: Harvard University Press.
  • Medline Plus, Child Abuse: https://medlineplus.gov/childabuse.html
  • Myers, J. E. B. (Ed.). (1994). The backlash: Child protection under fire. Newbury Park, CA: Sage.
  • National Center for Missing and Exploited Children: https://www.missingkids.org/home
  • National Child Abuse and Neglect Data System. (2006). Child maltreatment 2006: Reports from the states to the National Child Abuse and Neglect Data System. Washington, DC: U.S. Department of Health and Human Services, Administration for Children and Families.
  • New York University Silver School of Social Work: https://socialwork.nyu.edu/
  • Pitzer, R. L. (1997). Corporal punishment in the discipline of children in the home: Research update for practitioners. Paper presented at the National Council on Family Relations Annual Conference, Washington, DC.
  • RAND, Child Abuse and Neglect: https://www.rand.org/topics/child-abuse-and-neglect.html
  • Richards, C. E. (2001). The loss of innocents: Child killers and their victims. Wilmington, DE: Scholarly Resources.
  • Straus, M. A. (2001). Beating the devil out of them: Corporal punishment in American families and its effects on children. Edison, NJ: Transaction.
  • Thomas, P. M. (2004). Protection, dissociation, and internal roles: Modeling and treating the effects of child abuse. Review of General Psychology, 7(15).
  • U.S. Department of Health and Human Services, Administration for Children and Families: https://www.acf.hhs.gov/

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Example of a Research Paper

What follows is a hypothetical example of a research paper based on an experiment.

This article is a part of the guide:

  • Outline Examples
  • Write a Hypothesis
  • Introduction
  • Example of a Paper 2

Browse Full Outline

  • 1 Write a Research Paper
  • 2 Writing a Paper
  • 3.1 Write an Outline
  • 3.2 Outline Examples
  • 4.1 Thesis Statement
  • 4.2 Write a Hypothesis
  • 5.2 Abstract
  • 5.3 Introduction
  • 5.4 Methods
  • 5.5 Results
  • 5.6 Discussion
  • 5.7 Conclusion
  • 5.8 Bibliography
  • 6.1 Table of Contents
  • 6.2 Acknowledgements
  • 6.3 Appendix
  • 7.1 In Text Citations
  • 7.2 Footnotes
  • 7.3.1 Floating Blocks
  • 7.4 Example of a Paper
  • 7.5 Example of a Paper 2
  • 7.6.1 Citations
  • 7.7.1 Writing Style
  • 7.7.2 Citations
  • 8.1.1 Sham Peer Review
  • 8.1.2 Advantages
  • 8.1.3 Disadvantages
  • 8.2 Publication Bias
  • 8.3.1 Journal Rejection
  • 9.1 Article Writing
  • 9.2 Ideas for Topics

The experiment: Say you have just conducted the Milgram Study . Now you want to write the research paper for it. (Milgram actually waited two years before writing about his study.)

Here's a shortened example of a research article that MIGHT have been written.

DISCLAIMER: This article is not written by Stanley Milgram, but is intended as an example of a psychology research paper that someone might have written after conducting the first Milgram-study. It's presented here for educational purposes.

Normally you would use double spacing in the paper.

EXAMPLE OF A RESEARCH PAPER

sample of research paper

--- START OF EXAMPLE ---

[Page 1 - text aligned in the center and middle of the page]

"Behavioral Study of Obedience"

by [author], [University]

[Page 2 - text starts at the top, left]

There are few facts about the role of obedience when committing acts against one’s personal conscience (1961). Most theories suggest that only very disturbed people are capable of administering pain to an ordinary citizen if they are ordered to do so. Our experiment tested people's obedience to authority. The results showed that most obey all orders given by the authority-figure, despite their unwillingness. The conclusion is that, contrary to common belief, personal ethics mean little when pitted against authority.  

[Page 3-X - text starts in the top, left corner, no extra spacing to align text]

Current theories focus on personal characteristics to explain wrong-doing and how someone can intentionally harm others. In a survey, professionals such as doctors, psychologist and laymen predicted that a small proportion of a population (1-3%) would harm others if ordered to do so. In the recent war trial with Adolph Eichmann, he claims to only have been “following orders". The author wanted to test this claim. Can people harm others because they are merely obeying orders? Can people be ordered to act against their moral convictions? The experiment will test whether a person can keep administering painful electric shocks to another person just because they are ordered to do so. The expectation is that very few will keep giving shocks, and that most participants will disobey the order.

Participants There were 30 male participants. They were recruited by advertisement in a newspaper and were paid $4.50. Instruments A "shock generator" was used to trick the participants into thinking that they were giving an electric shock to another person in another room. The shock generator had switches labeled with different voltages, starting at 30 volts and increasing in 15-volt increments all the way up to 450 volts. The switches were also labeled with terms which reminded the participant of how dangerous the shocks were. Procedures The participant met another "participant" in the waiting room before the experiment. The other "participant" was an actor. Each participant got the role as a "teacher" who would then deliver a shock to the actor ("learner") every time an incorrect answer to a question was produced. The participant believed that he was delivering real shocks to the learner. The learner would pretend to be shocked. As the experiment progressed, the teacher would hear the learner plead to be released and complain about a heart condition. Once the 300-volt level had been reached, the learner banged on the wall and demanded to be released. Beyond this point, the learner became completely silent and refused to answer any more questions. The experimenter then instructed the participant to treat this silence as an incorrect response and deliver a further shock. When asking the experimenter if they should stop, they were instructed to continue.

Of the 40 participants in the study, 26 delivered the maximum shocks. 14 persons did not obey the experimenter and stopped before reaching the highest levels. All 40 participants continued to give shocks up to 300 volts.

Discussion/Conclusion

Most of the participants became very agitated, stressed and angry at the experimenter. Many continued to follow orders throughout even though they were clearly uncomfortable. The study shows that people are able to harm others intentionally if ordered to do so. It provides evidence that this dynamic is far more important than previously believed, and that personal ethics are less predictive of such behavior.

[Read more about references here]

sample of research paper

--- END OF EXAMPLE ---   

The scientific format: a research paper outline:.

Title , Author, Work/School

Abstract : A short summary of the article.

Current theories about the topic. What are the  hypothesis  for the paper?

What method used.

What were the results obtained?

Discussion  and  Conclusion

What are our thought about the results compared to other relevant theories.

Through the text there are references, sources of knowledge, which you've used.  Citing  those will give you more credibility because good research is thought to be based on other knowledge and  empirical (observed) evidence .

Tables ,  Figures ,  Appendix

  • Psychology 101
  • Flags and Countries
  • Capitals and Countries

Martyn Shuttleworth (May 21, 2008). Example of a Research Paper. Retrieved Feb 17, 2024 from Explorable.com: https://explorable.com/example-of-a-research-paper

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Research Method

Home » Research Paper Format – Types, Examples and Templates

Research Paper Format – Types, Examples and Templates

Table of Contents

Research Paper Formats

Research paper format is an essential aspect of academic writing that plays a crucial role in the communication of research findings . The format of a research paper depends on various factors such as the discipline, style guide, and purpose of the research. It includes guidelines for the structure, citation style, referencing , and other elements of the paper that contribute to its overall presentation and coherence. Adhering to the appropriate research paper format is vital for ensuring that the research is accurately and effectively communicated to the intended audience. In this era of information, it is essential to understand the different research paper formats and their guidelines to communicate research effectively, accurately, and with the required level of detail. This post aims to provide an overview of some of the common research paper formats used in academic writing.

Research Paper Formats

Research Paper Formats are as follows:

  • APA (American Psychological Association) format
  • MLA (Modern Language Association) format
  • Chicago/Turabian style
  • IEEE (Institute of Electrical and Electronics Engineers) format
  • AMA (American Medical Association) style
  • Harvard style
  • Vancouver style
  • ACS (American Chemical Society) style
  • ASA (American Sociological Association) style
  • APSA (American Political Science Association) style

APA (American Psychological Association) Format

Here is a general APA format for a research paper:

  • Title Page: The title page should include the title of your paper, your name, and your institutional affiliation. It should also include a running head, which is a shortened version of the title, and a page number in the upper right-hand corner.
  • Abstract : The abstract is a brief summary of your paper, typically 150-250 words. It should include the purpose of your research, the main findings, and any implications or conclusions that can be drawn.
  • Introduction: The introduction should provide background information on your topic, state the purpose of your research, and present your research question or hypothesis. It should also include a brief literature review that discusses previous research on your topic.
  • Methods: The methods section should describe the procedures you used to collect and analyze your data. It should include information on the participants, the materials and instruments used, and the statistical analyses performed.
  • Results: The results section should present the findings of your research in a clear and concise manner. Use tables and figures to help illustrate your results.
  • Discussion : The discussion section should interpret your results and relate them back to your research question or hypothesis. It should also discuss the implications of your findings and any limitations of your study.
  • References : The references section should include a list of all sources cited in your paper. Follow APA formatting guidelines for your citations and references.

Some additional tips for formatting your APA research paper:

  • Use 12-point Times New Roman font throughout the paper.
  • Double-space all text, including the references.
  • Use 1-inch margins on all sides of the page.
  • Indent the first line of each paragraph by 0.5 inches.
  • Use a hanging indent for the references (the first line should be flush with the left margin, and all subsequent lines should be indented).
  • Number all pages, including the title page and references page, in the upper right-hand corner.

APA Research Paper Format Template

APA Research Paper Format Template is as follows:

Title Page:

  • Title of the paper
  • Author’s name
  • Institutional affiliation
  • A brief summary of the main points of the paper, including the research question, methods, findings, and conclusions. The abstract should be no more than 250 words.

Introduction:

  • Background information on the topic of the research paper
  • Research question or hypothesis
  • Significance of the study
  • Overview of the research methods and design
  • Brief summary of the main findings
  • Participants: description of the sample population, including the number of participants and their characteristics (age, gender, ethnicity, etc.)
  • Materials: description of any materials used in the study (e.g., survey questions, experimental apparatus)
  • Procedure: detailed description of the steps taken to conduct the study
  • Presentation of the findings of the study, including statistical analyses if applicable
  • Tables and figures may be included to illustrate the results

Discussion:

  • Interpretation of the results in light of the research question and hypothesis
  • Implications of the study for the field
  • Limitations of the study
  • Suggestions for future research

References:

  • A list of all sources cited in the paper, in APA format

Formatting guidelines:

  • Double-spaced
  • 12-point font (Times New Roman or Arial)
  • 1-inch margins on all sides
  • Page numbers in the top right corner
  • Headings and subheadings should be used to organize the paper
  • The first line of each paragraph should be indented
  • Quotations of 40 or more words should be set off in a block quote with no quotation marks
  • In-text citations should include the author’s last name and year of publication (e.g., Smith, 2019)

APA Research Paper Format Example

APA Research Paper Format Example is as follows:

The Effects of Social Media on Mental Health

University of XYZ

This study examines the relationship between social media use and mental health among college students. Data was collected through a survey of 500 students at the University of XYZ. Results suggest that social media use is significantly related to symptoms of depression and anxiety, and that the negative effects of social media are greater among frequent users.

Social media has become an increasingly important aspect of modern life, especially among young adults. While social media can have many positive effects, such as connecting people across distances and sharing information, there is growing concern about its impact on mental health. This study aims to examine the relationship between social media use and mental health among college students.

Participants: Participants were 500 college students at the University of XYZ, recruited through online advertisements and flyers posted on campus. Participants ranged in age from 18 to 25, with a mean age of 20.5 years. The sample was 60% female, 40% male, and 5% identified as non-binary or gender non-conforming.

Data was collected through an online survey administered through Qualtrics. The survey consisted of several measures, including the Patient Health Questionnaire-9 (PHQ-9) for depression symptoms, the Generalized Anxiety Disorder-7 (GAD-7) for anxiety symptoms, and questions about social media use.

Procedure :

Participants were asked to complete the online survey at their convenience. The survey took approximately 20-30 minutes to complete. Data was analyzed using descriptive statistics, correlations, and multiple regression analysis.

Results indicated that social media use was significantly related to symptoms of depression (r = .32, p < .001) and anxiety (r = .29, p < .001). Regression analysis indicated that frequency of social media use was a significant predictor of both depression symptoms (β = .24, p < .001) and anxiety symptoms (β = .20, p < .001), even when controlling for age, gender, and other relevant factors.

The results of this study suggest that social media use is associated with symptoms of depression and anxiety among college students. The negative effects of social media are greater among frequent users. These findings have important implications for mental health professionals and educators, who should consider addressing the potential negative effects of social media use in their work with young adults.

References :

References should be listed in alphabetical order according to the author’s last name. For example:

  • Chou, H. T. G., & Edge, N. (2012). “They are happier and having better lives than I am”: The impact of using Facebook on perceptions of others’ lives. Cyberpsychology, Behavior, and Social Networking, 15(2), 117-121.
  • Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3-17.

Note: This is just a sample Example do not use this in your assignment.

MLA (Modern Language Association) Format

MLA (Modern Language Association) Format is as follows:

  • Page Layout : Use 8.5 x 11-inch white paper, with 1-inch margins on all sides. The font should be 12-point Times New Roman or a similar serif font.
  • Heading and Title : The first page of your research paper should include a heading and a title. The heading should include your name, your instructor’s name, the course title, and the date. The title should be centered and in title case (capitalizing the first letter of each important word).
  • In-Text Citations : Use parenthetical citations to indicate the source of your information. The citation should include the author’s last name and the page number(s) of the source. For example: (Smith 23).
  • Works Cited Page : At the end of your paper, include a Works Cited page that lists all the sources you used in your research. Each entry should include the author’s name, the title of the work, the publication information, and the medium of publication.
  • Formatting Quotations : Use double quotation marks for short quotations and block quotations for longer quotations. Indent the entire quotation five spaces from the left margin.
  • Formatting the Body : Use a clear and readable font and double-space your text throughout. The first line of each paragraph should be indented one-half inch from the left margin.

MLA Research Paper Template

MLA Research Paper Format Template is as follows:

  • Use 8.5 x 11 inch white paper.
  • Use a 12-point font, such as Times New Roman.
  • Use double-spacing throughout the entire paper, including the title page and works cited page.
  • Set the margins to 1 inch on all sides.
  • Use page numbers in the upper right corner, beginning with the first page of text.
  • Include a centered title for the research paper, using title case (capitalizing the first letter of each important word).
  • Include your name, instructor’s name, course name, and date in the upper left corner, double-spaced.

In-Text Citations

  • When quoting or paraphrasing information from sources, include an in-text citation within the text of your paper.
  • Use the author’s last name and the page number in parentheses at the end of the sentence, before the punctuation mark.
  • If the author’s name is mentioned in the sentence, only include the page number in parentheses.

Works Cited Page

  • List all sources cited in alphabetical order by the author’s last name.
  • Each entry should include the author’s name, title of the work, publication information, and medium of publication.
  • Use italics for book and journal titles, and quotation marks for article and chapter titles.
  • For online sources, include the date of access and the URL.

Here is an example of how the first page of a research paper in MLA format should look:

Headings and Subheadings

  • Use headings and subheadings to organize your paper and make it easier to read.
  • Use numerals to number your headings and subheadings (e.g. 1, 2, 3), and capitalize the first letter of each word.
  • The main heading should be centered and in boldface type, while subheadings should be left-aligned and in italics.
  • Use only one space after each period or punctuation mark.
  • Use quotation marks to indicate direct quotes from a source.
  • If the quote is more than four lines, format it as a block quote, indented one inch from the left margin and without quotation marks.
  • Use ellipses (…) to indicate omitted words from a quote, and brackets ([…]) to indicate added words.

Works Cited Examples

  • Book: Last Name, First Name. Title of Book. Publisher, Publication Year.
  • Journal Article: Last Name, First Name. “Title of Article.” Title of Journal, volume number, issue number, publication date, page numbers.
  • Website: Last Name, First Name. “Title of Webpage.” Title of Website, publication date, URL. Accessed date.

Here is an example of how a works cited entry for a book should look:

Smith, John. The Art of Writing Research Papers. Penguin, 2021.

MLA Research Paper Example

MLA Research Paper Format Example is as follows:

Your Professor’s Name

Course Name and Number

Date (in Day Month Year format)

Word Count (not including title page or Works Cited)

Title: The Impact of Video Games on Aggression Levels

Video games have become a popular form of entertainment among people of all ages. However, the impact of video games on aggression levels has been a subject of debate among scholars and researchers. While some argue that video games promote aggression and violent behavior, others argue that there is no clear link between video games and aggression levels. This research paper aims to explore the impact of video games on aggression levels among young adults.

Background:

The debate on the impact of video games on aggression levels has been ongoing for several years. According to the American Psychological Association, exposure to violent media, including video games, can increase aggression levels in children and adolescents. However, some researchers argue that there is no clear evidence to support this claim. Several studies have been conducted to examine the impact of video games on aggression levels, but the results have been mixed.

Methodology:

This research paper used a quantitative research approach to examine the impact of video games on aggression levels among young adults. A sample of 100 young adults between the ages of 18 and 25 was selected for the study. The participants were asked to complete a questionnaire that measured their aggression levels and their video game habits.

The results of the study showed that there was a significant correlation between video game habits and aggression levels among young adults. The participants who reported playing violent video games for more than 5 hours per week had higher aggression levels than those who played less than 5 hours per week. The study also found that male participants were more likely to play violent video games and had higher aggression levels than female participants.

The findings of this study support the claim that video games can increase aggression levels among young adults. However, it is important to note that the study only examined the impact of video games on aggression levels and did not take into account other factors that may contribute to aggressive behavior. It is also important to note that not all video games promote violence and aggression, and some games may have a positive impact on cognitive and social skills.

Conclusion :

In conclusion, this research paper provides evidence to support the claim that video games can increase aggression levels among young adults. However, it is important to conduct further research to examine the impact of video games on other aspects of behavior and to explore the potential benefits of video games. Parents and educators should be aware of the potential impact of video games on aggression levels and should encourage young adults to engage in a variety of activities that promote cognitive and social skills.

Works Cited:

  • American Psychological Association. (2017). Violent Video Games: Myths, Facts, and Unanswered Questions. Retrieved from https://www.apa.org/news/press/releases/2017/08/violent-video-games
  • Ferguson, C. J. (2015). Do Angry Birds make for angry children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspectives on Psychological Science, 10(5), 646-666.
  • Gentile, D. A., Swing, E. L., Lim, C. G., & Khoo, A. (2012). Video game playing, attention problems, and impulsiveness: Evidence of bidirectional causality. Psychology of Popular Media Culture, 1(1), 62-70.
  • Greitemeyer, T. (2014). Effects of prosocial video games on prosocial behavior. Journal of Personality and Social Psychology, 106(4), 530-548.

Chicago/Turabian Style

Chicago/Turabian Formate is as follows:

  • Margins : Use 1-inch margins on all sides of the paper.
  • Font : Use a readable font such as Times New Roman or Arial, and use a 12-point font size.
  • Page numbering : Number all pages in the upper right-hand corner, beginning with the first page of text. Use Arabic numerals.
  • Title page: Include a title page with the title of the paper, your name, course title and number, instructor’s name, and the date. The title should be centered on the page and in title case (capitalize the first letter of each word).
  • Headings: Use headings to organize your paper. The first level of headings should be centered and in boldface or italics. The second level of headings should be left-aligned and in boldface or italics. Use as many levels of headings as necessary to organize your paper.
  • In-text citations : Use footnotes or endnotes to cite sources within the text of your paper. The first citation for each source should be a full citation, and subsequent citations can be shortened. Use superscript numbers to indicate footnotes or endnotes.
  • Bibliography : Include a bibliography at the end of your paper, listing all sources cited in your paper. The bibliography should be in alphabetical order by the author’s last name, and each entry should include the author’s name, title of the work, publication information, and date of publication.
  • Formatting of quotations: Use block quotations for quotations that are longer than four lines. Indent the entire quotation one inch from the left margin, and do not use quotation marks. Single-space the quotation, and double-space between paragraphs.
  • Tables and figures: Use tables and figures to present data and illustrations. Number each table and figure sequentially, and provide a brief title for each. Place tables and figures as close as possible to the text that refers to them.
  • Spelling and grammar : Use correct spelling and grammar throughout your paper. Proofread carefully for errors.

Chicago/Turabian Research Paper Template

Chicago/Turabian Research Paper Template is as folows:

Title of Paper

Name of Student

Professor’s Name

I. Introduction

A. Background Information

B. Research Question

C. Thesis Statement

II. Literature Review

A. Overview of Existing Literature

B. Analysis of Key Literature

C. Identification of Gaps in Literature

III. Methodology

A. Research Design

B. Data Collection

C. Data Analysis

IV. Results

A. Presentation of Findings

B. Analysis of Findings

C. Discussion of Implications

V. Conclusion

A. Summary of Findings

B. Implications for Future Research

C. Conclusion

VI. References

A. Bibliography

B. In-Text Citations

VII. Appendices (if necessary)

A. Data Tables

C. Additional Supporting Materials

Chicago/Turabian Research Paper Example

Title: The Impact of Social Media on Political Engagement

Name: John Smith

Class: POLS 101

Professor: Dr. Jane Doe

Date: April 8, 2023

I. Introduction:

Social media has become an integral part of our daily lives. People use social media platforms like Facebook, Twitter, and Instagram to connect with friends and family, share their opinions, and stay informed about current events. With the rise of social media, there has been a growing interest in understanding its impact on various aspects of society, including political engagement. In this paper, I will examine the relationship between social media use and political engagement, specifically focusing on how social media influences political participation and political attitudes.

II. Literature Review:

There is a growing body of literature on the impact of social media on political engagement. Some scholars argue that social media has a positive effect on political participation by providing new channels for political communication and mobilization (Delli Carpini & Keeter, 1996; Putnam, 2000). Others, however, suggest that social media can have a negative impact on political engagement by creating filter bubbles that reinforce existing beliefs and discourage political dialogue (Pariser, 2011; Sunstein, 2001).

III. Methodology:

To examine the relationship between social media use and political engagement, I conducted a survey of 500 college students. The survey included questions about social media use, political participation, and political attitudes. The data was analyzed using descriptive statistics and regression analysis.

Iv. Results:

The results of the survey indicate that social media use is positively associated with political participation. Specifically, respondents who reported using social media to discuss politics were more likely to have participated in a political campaign, attended a political rally, or contacted a political representative. Additionally, social media use was found to be associated with more positive attitudes towards political engagement, such as increased trust in government and belief in the effectiveness of political action.

V. Conclusion:

The findings of this study suggest that social media has a positive impact on political engagement, by providing new opportunities for political communication and mobilization. However, there is also a need for caution, as social media can also create filter bubbles that reinforce existing beliefs and discourage political dialogue. Future research should continue to explore the complex relationship between social media and political engagement, and develop strategies to harness the potential benefits of social media while mitigating its potential negative effects.

Vii. References:

  • Delli Carpini, M. X., & Keeter, S. (1996). What Americans know about politics and why it matters. Yale University Press.
  • Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. Penguin.
  • Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon & Schuster.
  • Sunstein, C. R. (2001). Republic.com. Princeton University Press.

IEEE (Institute of Electrical and Electronics Engineers) Format

IEEE (Institute of Electrical and Electronics Engineers) Research Paper Format is as follows:

  • Title : A concise and informative title that accurately reflects the content of the paper.
  • Abstract : A brief summary of the paper, typically no more than 250 words, that includes the purpose of the study, the methods used, the key findings, and the main conclusions.
  • Introduction : An overview of the background, context, and motivation for the research, including a clear statement of the problem being addressed and the objectives of the study.
  • Literature review: A critical analysis of the relevant research and scholarship on the topic, including a discussion of any gaps or limitations in the existing literature.
  • Methodology : A detailed description of the methods used to collect and analyze data, including any experiments or simulations, data collection instruments or procedures, and statistical analyses.
  • Results : A clear and concise presentation of the findings, including any relevant tables, graphs, or figures.
  • Discussion : A detailed interpretation of the results, including a comparison of the findings with previous research, a discussion of the implications of the results, and any recommendations for future research.
  • Conclusion : A summary of the key findings and main conclusions of the study.
  • References : A list of all sources cited in the paper, formatted according to IEEE guidelines.

In addition to these elements, an IEEE research paper should also follow certain formatting guidelines, including using 12-point font, double-spaced text, and numbered headings and subheadings. Additionally, any tables, figures, or equations should be clearly labeled and referenced in the text.

AMA (American Medical Association) Style

AMA (American Medical Association) Style Research Paper Format:

  • Title Page: This page includes the title of the paper, the author’s name, institutional affiliation, and any acknowledgments or disclaimers.
  • Abstract: The abstract is a brief summary of the paper that outlines the purpose, methods, results, and conclusions of the study. It is typically limited to 250 words or less.
  • Introduction: The introduction provides a background of the research problem, defines the research question, and outlines the objectives and hypotheses of the study.
  • Methods: The methods section describes the research design, participants, procedures, and instruments used to collect and analyze data.
  • Results: The results section presents the findings of the study in a clear and concise manner, using graphs, tables, and charts where appropriate.
  • Discussion: The discussion section interprets the results, explains their significance, and relates them to previous research in the field.
  • Conclusion: The conclusion summarizes the main points of the paper, discusses the implications of the findings, and suggests future research directions.
  • References: The reference list includes all sources cited in the paper, listed in alphabetical order by author’s last name.

In addition to these sections, the AMA format requires that authors follow specific guidelines for citing sources in the text and formatting their references. The AMA style uses a superscript number system for in-text citations and provides specific formats for different types of sources, such as books, journal articles, and websites.

Harvard Style

Harvard Style Research Paper format is as follows:

  • Title page: This should include the title of your paper, your name, the name of your institution, and the date of submission.
  • Abstract : This is a brief summary of your paper, usually no more than 250 words. It should outline the main points of your research and highlight your findings.
  • Introduction : This section should introduce your research topic, provide background information, and outline your research question or thesis statement.
  • Literature review: This section should review the relevant literature on your topic, including previous research studies, academic articles, and other sources.
  • Methodology : This section should describe the methods you used to conduct your research, including any data collection methods, research instruments, and sampling techniques.
  • Results : This section should present your findings in a clear and concise manner, using tables, graphs, and other visual aids if necessary.
  • Discussion : This section should interpret your findings and relate them to the broader research question or thesis statement. You should also discuss the implications of your research and suggest areas for future study.
  • Conclusion : This section should summarize your main findings and provide a final statement on the significance of your research.
  • References : This is a list of all the sources you cited in your paper, presented in alphabetical order by author name. Each citation should include the author’s name, the title of the source, the publication date, and other relevant information.

In addition to these sections, a Harvard Style research paper may also include a table of contents, appendices, and other supplementary materials as needed. It is important to follow the specific formatting guidelines provided by your instructor or academic institution when preparing your research paper in Harvard Style.

Vancouver Style

Vancouver Style Research Paper format is as follows:

The Vancouver citation style is commonly used in the biomedical sciences and is known for its use of numbered references. Here is a basic format for a research paper using the Vancouver citation style:

  • Title page: Include the title of your paper, your name, the name of your institution, and the date.
  • Abstract : This is a brief summary of your research paper, usually no more than 250 words.
  • Introduction : Provide some background information on your topic and state the purpose of your research.
  • Methods : Describe the methods you used to conduct your research, including the study design, data collection, and statistical analysis.
  • Results : Present your findings in a clear and concise manner, using tables and figures as needed.
  • Discussion : Interpret your results and explain their significance. Also, discuss any limitations of your study and suggest directions for future research.
  • References : List all of the sources you cited in your paper in numerical order. Each reference should include the author’s name, the title of the article or book, the name of the journal or publisher, the year of publication, and the page numbers.

ACS (American Chemical Society) Style

ACS (American Chemical Society) Style Research Paper format is as follows:

The American Chemical Society (ACS) Style is a citation style commonly used in chemistry and related fields. When formatting a research paper in ACS Style, here are some guidelines to follow:

  • Paper Size and Margins : Use standard 8.5″ x 11″ paper with 1-inch margins on all sides.
  • Font: Use a 12-point serif font (such as Times New Roman) for the main text. The title should be in bold and a larger font size.
  • Title Page : The title page should include the title of the paper, the authors’ names and affiliations, and the date of submission. The title should be centered on the page and written in bold font. The authors’ names should be centered below the title, followed by their affiliations and the date.
  • Abstract : The abstract should be a brief summary of the paper, no more than 250 words. It should be on a separate page and include the title of the paper, the authors’ names and affiliations, and the text of the abstract.
  • Main Text : The main text should be organized into sections with headings that clearly indicate the content of each section. The introduction should provide background information and state the research question or hypothesis. The methods section should describe the procedures used in the study. The results section should present the findings of the study, and the discussion section should interpret the results and provide conclusions.
  • References: Use the ACS Style guide to format the references cited in the paper. In-text citations should be numbered sequentially throughout the text and listed in numerical order at the end of the paper.
  • Figures and Tables: Figures and tables should be numbered sequentially and referenced in the text. Each should have a descriptive caption that explains its content. Figures should be submitted in a high-quality electronic format.
  • Supporting Information: Additional information such as data, graphs, and videos may be included as supporting information. This should be included in a separate file and referenced in the main text.
  • Acknowledgments : Acknowledge any funding sources or individuals who contributed to the research.

ASA (American Sociological Association) Style

ASA (American Sociological Association) Style Research Paper format is as follows:

  • Title Page: The title page of an ASA style research paper should include the title of the paper, the author’s name, and the institutional affiliation. The title should be centered and should be in title case (the first letter of each major word should be capitalized).
  • Abstract: An abstract is a brief summary of the paper that should appear on a separate page immediately following the title page. The abstract should be no more than 200 words in length and should summarize the main points of the paper.
  • Main Body: The main body of the paper should begin on a new page following the abstract page. The paper should be double-spaced, with 1-inch margins on all sides, and should be written in 12-point Times New Roman font. The main body of the paper should include an introduction, a literature review, a methodology section, results, and a discussion.
  • References : The reference section should appear on a separate page at the end of the paper. All sources cited in the paper should be listed in alphabetical order by the author’s last name. Each reference should include the author’s name, the title of the work, the publication information, and the date of publication.
  • Appendices : Appendices are optional and should only be included if they contain information that is relevant to the study but too lengthy to be included in the main body of the paper. If you include appendices, each one should be labeled with a letter (e.g., Appendix A, Appendix B, etc.) and should be referenced in the main body of the paper.

APSA (American Political Science Association) Style

APSA (American Political Science Association) Style Research Paper format is as follows:

  • Title Page: The title page should include the title of the paper, the author’s name, the name of the course or instructor, and the date.
  • Abstract : An abstract is typically not required in APSA style papers, but if one is included, it should be brief and summarize the main points of the paper.
  • Introduction : The introduction should provide an overview of the research topic, the research question, and the main argument or thesis of the paper.
  • Literature Review : The literature review should summarize the existing research on the topic and provide a context for the research question.
  • Methods : The methods section should describe the research methods used in the paper, including data collection and analysis.
  • Results : The results section should present the findings of the research.
  • Discussion : The discussion section should interpret the results and connect them back to the research question and argument.
  • Conclusion : The conclusion should summarize the main findings and implications of the research.
  • References : The reference list should include all sources cited in the paper, formatted according to APSA style guidelines.

In-text citations in APSA style use parenthetical citation, which includes the author’s last name, publication year, and page number(s) if applicable. For example, (Smith 2010, 25).

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MLA Sample Paper

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What’s Included: Research Paper Template

If you’re preparing to write an academic research paper, our free research paper template is the perfect starting point. In the template, we cover every section step by step, with clear, straightforward explanations and examples .

The template’s structure is based on the tried and trusted best-practice format for formal academic research papers. The template structure reflects the overall research process, ensuring your paper will have a smooth, logical flow from chapter to chapter.

The research paper template covers the following core sections:

  • The title page/cover page
  • Abstract (sometimes also called the executive summary)
  • Section 1: Introduction 
  • Section 2: Literature review 
  • Section 3: Methodology
  • Section 4: Findings /results
  • Section 5: Discussion
  • Section 6: Conclusion
  • Reference list

Each section is explained in plain, straightforward language , followed by an overview of the key elements that you need to cover within each section. We’ve also included links to free resources to help you understand how to write each section.

The cleanly formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

FAQs: Research Paper Template

What format is the template (doc, pdf, ppt, etc.).

The research paper template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

What types of research papers can this template be used for?

The template follows the standard best-practice structure for formal academic research papers, so it is suitable for the vast majority of degrees, particularly those within the sciences.

Some universities may have some additional requirements, but these are typically minor, with the core structure remaining the same. Therefore, it’s always a good idea to double-check your university’s requirements before you finalise your structure.

Is this template for an undergrad, Masters or PhD-level research paper?

This template can be used for a research paper at any level of study. It may be slight overkill for an undergraduate-level study, but it certainly won’t be missing anything.

How long should my research paper be?

This depends entirely on your university’s specific requirements, so it’s best to check with them. We include generic word count ranges for each section within the template, but these are purely indicative. 

What about the research proposal?

If you’re still working on your research proposal, we’ve got a template for that here .

We’ve also got loads of proposal-related guides and videos over on the Grad Coach blog .

How do I write a literature review?

We have a wealth of free resources on the Grad Coach Blog that unpack how to write a literature review from scratch. You can check out the literature review section of the blog here.

How do I create a research methodology?

We have a wealth of free resources on the Grad Coach Blog that unpack research methodology, both qualitative and quantitative. You can check out the methodology section of the blog here.

Can I share this research paper template with my friends/colleagues?

Yes, you’re welcome to share this template. If you want to post about it on your blog or social media, all we ask is that you reference this page as your source.

Can Grad Coach help me with my research paper?

Within the template, you’ll find plain-language explanations of each section, which should give you a fair amount of guidance. However, you’re also welcome to consider our private coaching services .

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How to Write a Research Paper Introduction (with Examples)

How to Write a Research Paper Introduction (with Examples)

The research paper introduction section, along with the Title and Abstract, can be considered the face of any research paper. The following article is intended to guide you in organizing and writing the research paper introduction for a quality academic article or dissertation.

The research paper introduction aims to present the topic to the reader. A study will only be accepted for publishing if you can ascertain that the available literature cannot answer your research question. So it is important to ensure that you have read important studies on that particular topic, especially those within the last five to ten years, and that they are properly referenced in this section. 1 What should be included in the research paper introduction is decided by what you want to tell readers about the reason behind the research and how you plan to fill the knowledge gap. The best research paper introduction provides a systemic review of existing work and demonstrates additional work that needs to be done. It needs to be brief, captivating, and well-referenced; a well-drafted research paper introduction will help the researcher win half the battle.

The introduction for a research paper is where you set up your topic and approach for the reader. It has several key goals:

  • Present your research topic
  • Capture reader interest
  • Summarize existing research
  • Position your own approach
  • Define your specific research problem and problem statement
  • Highlight the novelty and contributions of the study
  • Give an overview of the paper’s structure

The research paper introduction can vary in size and structure depending on whether your paper presents the results of original empirical research or is a review paper. Some research paper introduction examples are only half a page while others are a few pages long. In many cases, the introduction will be shorter than all of the other sections of your paper; its length depends on the size of your paper as a whole.

  • Break through writer’s block. Write your research paper introduction with Paperpal Copilot

Table of Contents

What is the introduction for a research paper, why is the introduction important in a research paper, craft a compelling introduction section with paperpal. try now, 1. introduce the research topic:, 2. determine a research niche:, 3. place your research within the research niche:, craft accurate research paper introductions with paperpal. start writing now, frequently asked questions on research paper introduction, key points to remember.

The introduction in a research paper is placed at the beginning to guide the reader from a broad subject area to the specific topic that your research addresses. They present the following information to the reader

  • Scope: The topic covered in the research paper
  • Context: Background of your topic
  • Importance: Why your research matters in that particular area of research and the industry problem that can be targeted

The research paper introduction conveys a lot of information and can be considered an essential roadmap for the rest of your paper. A good introduction for a research paper is important for the following reasons:

  • It stimulates your reader’s interest: A good introduction section can make your readers want to read your paper by capturing their interest. It informs the reader what they are going to learn and helps determine if the topic is of interest to them.
  • It helps the reader understand the research background: Without a clear introduction, your readers may feel confused and even struggle when reading your paper. A good research paper introduction will prepare them for the in-depth research to come. It provides you the opportunity to engage with the readers and demonstrate your knowledge and authority on the specific topic.
  • It explains why your research paper is worth reading: Your introduction can convey a lot of information to your readers. It introduces the topic, why the topic is important, and how you plan to proceed with your research.
  • It helps guide the reader through the rest of the paper: The research paper introduction gives the reader a sense of the nature of the information that will support your arguments and the general organization of the paragraphs that will follow. It offers an overview of what to expect when reading the main body of your paper.

What are the parts of introduction in the research?

A good research paper introduction section should comprise three main elements: 2

  • What is known: This sets the stage for your research. It informs the readers of what is known on the subject.
  • What is lacking: This is aimed at justifying the reason for carrying out your research. This could involve investigating a new concept or method or building upon previous research.
  • What you aim to do: This part briefly states the objectives of your research and its major contributions. Your detailed hypothesis will also form a part of this section.

How to write a research paper introduction?

The first step in writing the research paper introduction is to inform the reader what your topic is and why it’s interesting or important. This is generally accomplished with a strong opening statement. The second step involves establishing the kinds of research that have been done and ending with limitations or gaps in the research that you intend to address. Finally, the research paper introduction clarifies how your own research fits in and what problem it addresses. If your research involved testing hypotheses, these should be stated along with your research question. The hypothesis should be presented in the past tense since it will have been tested by the time you are writing the research paper introduction.

The following key points, with examples, can guide you when writing the research paper introduction section:

  • Highlight the importance of the research field or topic
  • Describe the background of the topic
  • Present an overview of current research on the topic

Example: The inclusion of experiential and competency-based learning has benefitted electronics engineering education. Industry partnerships provide an excellent alternative for students wanting to engage in solving real-world challenges. Industry-academia participation has grown in recent years due to the need for skilled engineers with practical training and specialized expertise. However, from the educational perspective, many activities are needed to incorporate sustainable development goals into the university curricula and consolidate learning innovation in universities.

  • Reveal a gap in existing research or oppose an existing assumption
  • Formulate the research question

Example: There have been plausible efforts to integrate educational activities in higher education electronics engineering programs. However, very few studies have considered using educational research methods for performance evaluation of competency-based higher engineering education, with a focus on technical and or transversal skills. To remedy the current need for evaluating competencies in STEM fields and providing sustainable development goals in engineering education, in this study, a comparison was drawn between study groups without and with industry partners.

  • State the purpose of your study
  • Highlight the key characteristics of your study
  • Describe important results
  • Highlight the novelty of the study.
  • Offer a brief overview of the structure of the paper.

Example: The study evaluates the main competency needed in the applied electronics course, which is a fundamental core subject for many electronics engineering undergraduate programs. We compared two groups, without and with an industrial partner, that offered real-world projects to solve during the semester. This comparison can help determine significant differences in both groups in terms of developing subject competency and achieving sustainable development goals.

Write a Research Paper Introduction in Minutes with Paperpal

Paperpal Copilot is a generative AI-powered academic writing assistant. It’s trained on millions of published scholarly articles and over 20 years of STM experience. Paperpal Copilot helps authors write better and faster with:

  • Real-time writing suggestions
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  • Paraphrasing to add variety, ensure academic tone, and trim text to meet journal limits

With Paperpal Copilot, create a research paper introduction effortlessly. In this step-by-step guide, we’ll walk you through how Paperpal transforms your initial ideas into a polished and publication-ready introduction.

sample of research paper

How to use Paperpal to write the Introduction section

Step 1: Sign up on Paperpal and click on the Copilot feature, under this choose Outlines > Research Article > Introduction

Step 2: Add your unstructured notes or initial draft, whether in English or another language, to Paperpal, which is to be used as the base for your content.

Step 3: Fill in the specifics, such as your field of study, brief description or details you want to include, which will help the AI generate the outline for your Introduction.

Step 4: Use this outline and sentence suggestions to develop your content, adding citations where needed and modifying it to align with your specific research focus.

Step 5: Turn to Paperpal’s granular language checks to refine your content, tailor it to reflect your personal writing style, and ensure it effectively conveys your message.

You can use the same process to develop each section of your article, and finally your research paper in half the time and without any of the stress.

The purpose of the research paper introduction is to introduce the reader to the problem definition, justify the need for the study, and describe the main theme of the study. The aim is to gain the reader’s attention by providing them with necessary background information and establishing the main purpose and direction of the research.

The length of the research paper introduction can vary across journals and disciplines. While there are no strict word limits for writing the research paper introduction, an ideal length would be one page, with a maximum of 400 words over 1-4 paragraphs. Generally, it is one of the shorter sections of the paper as the reader is assumed to have at least a reasonable knowledge about the topic. 2 For example, for a study evaluating the role of building design in ensuring fire safety, there is no need to discuss definitions and nature of fire in the introduction; you could start by commenting upon the existing practices for fire safety and how your study will add to the existing knowledge and practice.

When deciding what to include in the research paper introduction, the rest of the paper should also be considered. The aim is to introduce the reader smoothly to the topic and facilitate an easy read without much dependency on external sources. 3 Below is a list of elements you can include to prepare a research paper introduction outline and follow it when you are writing the research paper introduction. Topic introduction: This can include key definitions and a brief history of the topic. Research context and background: Offer the readers some general information and then narrow it down to specific aspects. Details of the research you conducted: A brief literature review can be included to support your arguments or line of thought. Rationale for the study: This establishes the relevance of your study and establishes its importance. Importance of your research: The main contributions are highlighted to help establish the novelty of your study Research hypothesis: Introduce your research question and propose an expected outcome. Organization of the paper: Include a short paragraph of 3-4 sentences that highlights your plan for the entire paper

Cite only works that are most relevant to your topic; as a general rule, you can include one to three. Note that readers want to see evidence of original thinking. So it is better to avoid using too many references as it does not leave much room for your personal standpoint to shine through. Citations in your research paper introduction support the key points, and the number of citations depend on the subject matter and the point discussed. If the research paper introduction is too long or overflowing with citations, it is better to cite a few review articles rather than the individual articles summarized in the review. A good point to remember when citing research papers in the introduction section is to include at least one-third of the references in the introduction.

The literature review plays a significant role in the research paper introduction section. A good literature review accomplishes the following: Introduces the topic – Establishes the study’s significance – Provides an overview of the relevant literature – Provides context for the study using literature – Identifies knowledge gaps However, remember to avoid making the following mistakes when writing a research paper introduction: Do not use studies from the literature review to aggressively support your research Avoid direct quoting Do not allow literature review to be the focus of this section. Instead, the literature review should only aid in setting a foundation for the manuscript.

Remember the following key points for writing a good research paper introduction: 4

  • Avoid stuffing too much general information: Avoid including what an average reader would know and include only that information related to the problem being addressed in the research paper introduction. For example, when describing a comparative study of non-traditional methods for mechanical design optimization, information related to the traditional methods and differences between traditional and non-traditional methods would not be relevant. In this case, the introduction for the research paper should begin with the state-of-the-art non-traditional methods and methods to evaluate the efficiency of newly developed algorithms.
  • Avoid packing too many references: Cite only the required works in your research paper introduction. The other works can be included in the discussion section to strengthen your findings.
  • Avoid extensive criticism of previous studies: Avoid being overly critical of earlier studies while setting the rationale for your study. A better place for this would be the Discussion section, where you can highlight the advantages of your method.
  • Avoid describing conclusions of the study: When writing a research paper introduction remember not to include the findings of your study. The aim is to let the readers know what question is being answered. The actual answer should only be given in the Results and Discussion section.

To summarize, the research paper introduction section should be brief yet informative. It should convince the reader the need to conduct the study and motivate him to read further. If you’re feeling stuck or unsure, choose trusted AI academic writing assistants like Paperpal to effortlessly craft your research paper introduction and other sections of your research article.

1. Jawaid, S. A., & Jawaid, M. (2019). How to write introduction and discussion. Saudi Journal of Anaesthesia, 13(Suppl 1), S18.

2. Dewan, P., & Gupta, P. (2016). Writing the title, abstract and introduction: Looks matter!. Indian pediatrics, 53, 235-241.

3. Cetin, S., & Hackam, D. J. (2005). An approach to the writing of a scientific Manuscript1. Journal of Surgical Research, 128(2), 165-167.

4. Bavdekar, S. B. (2015). Writing introduction: Laying the foundations of a research paper. Journal of the Association of Physicians of India, 63(7), 44-6.

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Try it for free or upgrade to  Paperpal Prime , which unlocks unlimited access to premium features like academic translation, paraphrasing, contextual synonyms, consistency checks and more. It’s like always having a professional academic editor by your side! Go beyond limitations and experience the future of academic writing.  Get Paperpal Prime now at just US$19 a month!

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  • Open access
  • Published: 08 February 2024

Evaluating the impact of the supporting the advancement of research skills (STARS) programme on research knowledge, engagement and capacity-building in a health and social care organisation in England

  • Gulshan Tajuria   ORCID: orcid.org/0000-0001-5559-0333 1 , 2 ,
  • David Dobel-Ober   ORCID: orcid.org/0000-0001-8457-4148 1 ,
  • Eleanor Bradley   ORCID: orcid.org/0000-0001-5877-2298 3 ,
  • Claire Charnley 1 ,
  • Ruth Lambley-Burke   ORCID: orcid.org/0000-0003-0416-6908 1 ,
  • Christian Mallen   ORCID: orcid.org/0000-0002-2677-1028 1 , 2 ,
  • Kate Honeyford 1 &
  • Tom Kingstone   ORCID: orcid.org/0000-0001-9179-2303 1 , 2  

BMC Medical Education volume  24 , Article number:  126 ( 2024 ) Cite this article

302 Accesses

Metrics details

To evaluate the impact a novel education programme - to improve research engagement, awareness, understanding and confidence - had on a diverse health and social care workforce. Barriers and facilitators to engagement were explored together with research capacity-building opportunities and ways to embed a research culture. The programme is entitled ‘Supporting The Advancement of Research Skills’ (STARS programme); the paper reports findings from a health and social care setting in England, UK.

A four-level outcome framework guided the approach to evaluation and was further informed by key principles of research capacity development and relevant theory. Quantitative data were collected from learners before and after engagement; these were analysed descriptively. Semi-structured online interviews were conducted with learners and analysed thematically. A purposive sample was achieved to include a diversity in age, gender, health and social care profession, and level of attendance (regular attendees, moderate attendees and non-attenders).

The evaluation spanned 18 half-day workshops and 11 seminars delivered by expert educators. 165 (2% of total staff at Midlands Partnership University NHS Foundation Trust (MPFT)) staffs booked one or more education sessions; 128 (77%) including Allied Health Professionals (AHPs), psychologists, nursing and midwifery, and social workers attended one or more session. Key themes of engagement with teaching sessions, relevance and impact of training and promoting a research active environment were identified with relevant sub-themes. Positive impacts of training were described in terms of research confidence, intentions, career planning and application of research skills as a direct result of training. Lack of dedicated time for research engagement, work pressures and time commitments required for the programme were key barriers. Facilitators that facilitated engagement are also described.

Conclusions

Findings demonstrate the impact that a free, virtual and high-quality research education programme had at individual and organisational levels. The programme is the product of a successful collaboration between health and social care and academic organisations; this provides a useful framework for others to adapt and adopt. Key barriers to attendance and engagement spoke to system-wide challenges that an education programme could not address in the short-term. Potential solutions are discussed in relation to protecting staff time, achieving management buy-in, recognising research champions, and having a clear communication strategy.

Peer Review reports

Research has played a pivotal role in the advancement of health and social care by, for example, informing early diagnosis, the development and testing of new treatments for prevention, cure, recovery and palliative care [ 1 ]. The importance of research is heralded by key health and social care bodies in the UK, the context for this paper. The UK Government policy paper on clinical research delivery identifies the need to: ‘support healthcare professionals to develop research skills relevant to their clinical role and to design studies in ways which ensure delivering research is a rewarding experience, rather than an additional burden’ [ 2 ]. The Chief Nursing Officer for England’s strategic plan for research also emphasises the importance of developing a culture where research is relevant to all nurses, either through direct involvement or the use of research evidence as a key element in professional decision-making [ 3 ]. Similarly, the Royal College of Physicians [ 4 ] states that healthcare providers should see research as an integral element in care delivery, and to emphasise its ongoing commitment to social care research, the NIHR became the ‘National Institute for Health and Care Research’ in April 2022. The response from the research community to the Covid-19 pandemic has further boosted the impetus and appetite for health and social care to embed global and multi-disciplinary research strategies for the future [ 5 ].

Having sufficient research capacity and capability is important to enabling health and social care services and workers to translate research into practice [ 6 ]. However, inequalities exist in so far as research is not perceived as accessible and inclusive by all. Several studies describe workplace barriers including time [ 4 , 7 , 8 ] resources, such as access to published research [ 8 , 9 ] and lack of research knowledge, experience and expertise, both in terms of carrying out their own research and putting the findings of published research into practice [ 9 ]. Some professional groups describe lack of access to relevant training as a barrier to developing research knowledge and skills, (e.g. nurses [ 8 , 9 , 10 ]). Fry and Attawet [ 8 ] also identified a lack of organisational and management support for research linked to the absence of a culture that promotes research as an integral part of clinical practice. Thus, to nurture research engagement an individual (bottom-up) and service-level (top-down) approach to research capacity development (RCD) is necessary [ 11 ].

A recent evaluation of National Institute for Health and Care Research (NIHR) funding awards suggested that whilst funding could be transformative and contribute to a healthy research culture in health and care organisations, issues of inequality were identified by professionals working in specialisms with less research experience or expertise. These were in organisations without connections to more research-intensive universities and by those working in non-medical professional groups (e.g. Allied Health Professionals (AHPs), nurses) [ 12 ]. This was further highlighted by a study with social care staff, which found they valued research but showed low levels of engagement and skill [ 13 ]. Authors would like to highlight here that they recognise that social care staff and social workers provide different functions. Social workers aim, “to provide support for people to help them to deal with the personal and social issues which affect their lives”… whereas “Social care is one of the terms which is used to refer to the strategies which are used to help to care for people who are in need” [ 14 ]. Even though these terms may be used sometimes interchangeably they are different in terms of qualification required to attain the title and the duties they perform. A growing evidence base identifies the key mechanisms to support Research Capacity Development (RCD) in health and social care. A rapid evidence review [ 15 ] highlighted intrinsic factors (e.g. attitudes and beliefs) and extrinsic factors (such as recognition of research skills acquisition within career progression and professional development via professional bodies, creation of personal awards); and observation of impacts on practice as helpful to encourage NHS staff to engage with researcher development.

Context to the STARS programme

MPFT is a health and social care NHS trust with a track record in research delivery and is in the process of developing research leadership. At the time of writing, the NHS Trust had not achieved university hospital status, although it works closely with two universities which developed the STARS programme in partnership (see Fig.  1 and Supplementary File 1 for a full overview of the structure of the programme). The STARS programme provides a useful resource to address disparities in research engagement between different professional groups in health and social care. Despite more opportunities for research having been generated for nurses and AHPs by organizations such as the NIHR Collaborations for Leadership in Applied Health Research and Care (CLAHRCs) and Clinical Research Networks (CRNs), disparities persist between non-academic clinicians and the opportunities available to certain clinical specialities [ 16 , 17 , 18 ]. Challenges and barriers to research training engagement highlighted in this paper are likely to have global relevance [ 19 ]. Thus, more broadly, offering programmes such as STARS may also help address global disparities in research engagement given the UK has the highest percentage of doctors (28.6%) and nurses (15%) who are trained in foreign countries [ 20 ]. STARS was designed in consultation with staff to identify existing barriers to engagement in research training, provide all staff with improved access to high-quality research training to enhance their confidence in research and enable the best use of empirical evidence in practice. The STARS programme was launched in January 2021.

figure 1

Supporting the advancement of research skills (STARS) programme

This paper reports findings from the evaluation which aimed to evaluate the delivery of the STARS programme to assess delivery outcomes, understand learner experiences, facilitators and barriers to engagement, and future opportunities

The approach to evaluation of this training programme was informed by Kirkpatrick’s four-level outcome framework: reaction (was training enjoyed?), learning (did learning occur?), behaviour (did behaviour change?) and results (was performance effected?) [ 21 ]. As this is a new programme, data was gathered against the first three levels of Kirkpatrick’s evaluation model. Contemporary criticisms and revisions of the model were incorporated to better understand the chains of evidence and wider contextual factors that may influence the delivery of a new programme [ 22 ], such as the STARS programme.

Data collection

Quantitative data.

Data including information such as highest educational qualification, job role, the reason for attending and the line manager’s approval to attend the training was collected at the point learners registered for a teaching session. Data indicating service areas, rate of dropouts, staff backgrounds, highest and lowest rate of attendance was collected from the attendance record. Data was also collected using a brief post-session feedback (see Supplementary material - Learner Evaluation Form) form, which included a likert scale question inviting learners to rate the quality of the training.

Statistical analysis

Quantitative analysis was performed at a descriptive level, using Microsoft Excel (2016).

Qualitative methods

Semi-structured interviews were conducted with programme participants to explore learner experiences (aligned with Kirkpatrick’s reaction level), outcomes (learning) and intentions to apply research knowledge ( intended behaviours). Flexible interview formats were offered to encourage participation, such as online interviews and providing responses via email. Interviews were facilitated using a topic guide (see Supplementary material - STARS Interview Guide) that was iteratively revised.

Recruitment and sampling

A purposive sample of participants was identified using data from the programme booking form and attendance records:

Regular attenders: Those who attended a minimum of five teaching sessions across the whole programme or a single pathway.

Occasional attenders: Those who attended very few (1–2) sessions across the whole programme.

Non-attenders: Those who registered to attend, but eventually didn’t attend, to explore barriers to engagement.

Participants were invited by email for a maximum 30-minute interview. All potential participants were emailed a participant information sheet. They were given time to read the information and a contact name for any questions related to their participation, before being asked to confirm their participation in the study.

Description of sample

Thirty-six staff members were categorised as regular attenders; all were invited to take part in an interview. Two individuals declined to participate citing a lack of relevance, as they left their learning events halfway; two individuals declined due to work pressure following illness; three were ‘out of office’ according to email replies, and no response was received from 14 individuals. The remaining 15 agreed to participate in an interview with 10 choosing to use Microsoft Teams and five to provide written responses- ‘email interviews’. This method is becoming increasingly used to help supplement other forms of data and support involvement of healthcare professionals, who may have limited time/capacity for research but valuable knowledge to share [ 23 , 24 ]. Participants represented a diverse range of professional backgrounds, including: AHPs, psychologists, nursing and midwifery, and social workers; this reflected the broad range of learners on the programme. A semi-structured interview guide was used. The interviews were audio recorded and later transcribed in full by the lead author (GT).

Occasional ( n  = 17) and non-attenders ( n  = 13) were invited to participate in an interview. These were staff members who had booked several teaching sessions (1–12) but either did not attend any with/without apologies ( n  = 30) or attended only one or two. Seven email addresses were not valid as the staff had either left the service or changed role; four had an automated ‘out of office’ response set; four staff declined to participate and there was no response from 11 email addresses. Five staff agreed to be interviewed. A brief topic guide was used with questions aiming to find out just the reason/s behind non-attendance in the training. As these interviews were brief, non-verbatim notes were taken by the interviewer and included in analysis. At the end of each of these interviews, the notes were validated with the interviewee.

Qualitative analysis

The data analysis followed a thematic approach [ 22 ] to identify key themes. Data-driven coding was conducted to establish meaning from the words of participants; coding was also informed, a-priori, by the levels of the evaluation framework [ 25 ]. Initial coding was done by GT and TK who read all transcripts to support familiarisation before generating an initial set of codes. Right from initial codes to final themes, other than the authors, the wider STARS team gave input in various Team meetings. Similar codes were then compared and grouped to identify initial themes; these were reviewed to shape a preliminary set of main themes. Preliminary themes were shared and discussed with the team before finalising.

Quantitative findings

Over the 12-month evaluation period, a total of 18 half-day workshops were delivered, six from the research in clinical practice pathway; four from the research delivery pathway; eight from the research leader pathway (refer to Fig.  1 ); and 11 seminars to support the development of key skills. In total, 165 (2% of total staff at MPFT) staff members booked one or more teaching session. 128 (77%) attended one or more teaching session. On average, sessions in the research in practice pathway were attended by 25 staff; 12 in research delivery pathway; 21 in the research leader pathway; and 17 in seminars.

Qualifications, backgrounds and expectations

According to the booking form, attenders represented a range of professional groups.

Nursing registered − 29 (23%).

AHPs − 23 (17%).

Additional clinical services (all healthcare services) − 21 (16%).

Additional professional scientific and technical (such as pharmacist, qualified psychological therapist, social worker etc.) -15 (12%).

Medical profession − 14 (11%).

Other (e.g. research staff) − 26 (20%).

Approximately 85% of staff had reported prior educational qualifications, the majority included: 20% ( n  = 33) bachelor’s, 19% ( n  = 31) master’s, 3% ( n  = 5) doctoral degrees, 6% ( n  = 10) diplomas and nearly 2% ( n  = 3) MBBS (Bachelor of Medicine, Bachelor of Surgery); remaining attenders did not provide information on their educational background.

Explanations for booking the training and number of staff

At the time of booking the course, staff were asked to provide reasons and expectations from STARS sessions using an open text box. Descriptive analysis of responses is presented in Table  1 :

A better understanding of research in practice, additional support for academic work and the development of research in trust were the most common reasons provided (Table  1 ).

Post session evaluation feedback

Learners demonstrated their learning from the sessions in a variety of ways and more often using the session specific feedback. In total, 195 feedback forms were completed and covered 24 sessions. The number of ratings completed per session ranged from 1 to 25. 136 (70%) learners rated the session they attended as ‘very good’, 52 (27%) rated as ‘good’, 4 (2%) rated ‘adequate’ and 2 (1%) rated ‘poor’. Qualitative findings, presented below, help us to make sense of the session ratings.

Qualitative findings

The main themes and sub-themes from the analysis of qualitative data from interviews are summarised in Table  2 and described with illustrative quotes in the following sections.

Engagement with teaching sessions

The reasons given by staff attending the training in booking forms (Table  1 ) and discussed in interviews were reflected to a large extent in the way participants chose the teaching sessions they attended. Eight interviewees had received research training as part of their degree-level qualifications; one was currently involved in conducting research at work.

Factors considered while selecting teaching sessions

Some staff were much focused on what they wanted to take from teaching sessions and booked selectively; however, some wanted to attend all, indiscriminately, due to unequal access in such training opportunities in the past and/or in their departments:

“I wanted to do them all because my concern is that they might not be offered again because we’ve never had them in social care… we’ve never had researchers come and talk to us in social care and social work unless you go to Uni.” P 4.

Some staff described their learning as focused on intrinsic factors such as:

“It’s always good to update because I think you find your own way in doing things like informed consent. P 11.

For other staff, learning on the programme was driven by extrinsic factors like:

“Social work and social care does have a huge gap in terms of research participation. We are trying to develop that within the organization and regionally” P 13.

Relevance of a teaching session to the current role was considered before booking by staff who either had knowledge or were currently involved in doing research but the staff without previous opportunities like this booked relatively indiscriminately. Intrinsic factors such as personal interest and career progressions and extrinsic factors such as organisational development were additional reasons to attend the teaching sessions.

Barriers to attendance

Getting data from those who did not attend after booking proved difficult. Four staff declined to take part in evaluation interviews because of work pressure or illnesses; this may reflect some of the reasons for non-attendance. Another five agreed to take part in short interviews to discuss their lack of attendance with the programme. All interviewees pointed towards time pressure as the main issue.

Qualitative data from the interviews with the regular attenders about barriers to attending some of the training after booking revealed similarities in reasons as the non-attenders. A general lack of time due to staff shortages highlighted the role of the line manager’s approval in attending the training as discussed by two staff members:

“some sessions that I could not attend as my manager didn’t think I should attend so many sessions, because of the pressures of the service following the covid backlogs etc” P 5.

One staff member briefly raised the issues of empowerment where some staff might find it difficult to get the line manager’s approval to attend such training:

“And perhaps you need to get the buy in from the managers, because there’s an awful, awful lot of staff that aren’t really empowered to be able to go off and do this and then influence their work” P 7.

Communication and marketing of the new training was highlighted as a barrier to attendance by staff from one of the departments:

“I think one was probably in the promotion, I came across it by chance…that’s something to do with our organization because it kind of sits slightly outside of MPFT, so I think sometimes that messaging doesn’t always get through” P3 .

Prioritising paid training over STARS training was also a reason for one of the staff to miss some of the teaching sessions:

“I’ve missed some STARS trainings because of attending other trainings which are paid training or conferences that have cost money. So obviously I’ve prioritized them over some of the STARS training” P 9.

Barriers to engagement

Providing training across different professional groups highlighted difficulties in understanding respective languages. Two respondents reported that some content used clinical language that was difficult to understand:

“There’s also an element of understanding research and how it can be applied there’s probably an element of language as well, so it’s not just clinical…or health orientated, it’s also care. So it is just understanding that language barrier so that social work and social care staff know that it’s appropriate for everybody in the organization” P 13.

For one staff member the pace of delivering the graphic and statistical information teaching was very fast and difficult to understand:

“Sometimes it felt like the presenters for some statistical information went too fast when that was the area that most people are weaker on, so perhaps some courses tried to fit too much into one session” P 5.

A couple of staff discussed the workshops as disengaging due to long presentations and less interaction:

“the ones where you will just kind of like listening for three hours. They were really hard to stay engaged with” P 9.

For two staff the breakout rooms were not as helpful as explained by one:

“it can be awkward when you’re with people you don’t know and haven’t got a full grasp of the subject, and trying to think of contributions” P 5.

One staff also highlighted how attending the training from a shared office space can be problematic compared to a private space:

“As when doing it in the office, it’s harder to engage in group discussions due to fear of disrupting other colleagues” P 2.

Other ways of delivering the training were also suggested due to long commitments for the workshops. Two participants suggested that three-hour workshops were too long when delivered online; face-to-face learning was preferred:

“it would be nice to have it when we can to have some classroom based stuff because again, it just feels more natural to ask questions and you get to have those conversations in breaks” P 1.

And according to one participant, the training could be delivered using pre-recorded content:

“If there was a way to like the website on the Internet, all these links that you could click on to watch re-watch everything so you know where to go to one place to see all” P 6.

However, for two participants the recordings of teaching sessions were not as good as attending in real-time, as explained by one:

“You’re not the one engaging in it like because obviously you’re just watching it after the fact, so I don’t sit through the whole thing…If you’ve got questions, there’s nowhere to ask those questions” P 9.

Facilitators to engagement

Online synchronous delivery of the teaching sessions was valued by all interview participants, in the context of the Covid-19 pandemic. Use of breakout rooms for small group discussion and interaction was considered useful by most of the interview participants, for example:

“that was quite nice that you’d catch up with people that you were in the breakout rooms and could get to know a bit more about what they were doing and so I found that quite helpful from like a networking perspective” P 10.

Most of the staff members discussed keeping the recorded videos for future reference as very helpful:

“I know I’m not going to have time to apply myself to do in any sort of research at the moment with how things are at work, but I’ve got all the recordings and so could go back to those” P 10.

To summarise, barriers to attend the training included a lack of time on the participants’ end and lack of promotion. Perceived value due to no direct cost associated with the training was also revealed as a reason to miss a session after booking. Pace, professional-specific language, length of teaching and shared office space were highlighted as some of the barriers to engagement. Regarding facilitators to attend and maintain engagement, all staff were happy with online delivery and the availability of recordings was useful. However, mixed opinions were shared about the usefulness of breakout rooms given the range of professional groups that the staff belonged to.

Relevance and impact of training

Staff described various benefits to their research practice since attending STARS sessions, such as, writing and publishing a short report; working on a literature review; signing on to a university course; successfully receiving regulatory research approvals; and completing preliminary work to attend a professional doctorate or equivalent.

Training content relevance and suitability

All interview participants commented on the programme content and described it as comprehensive and well-balanced in terms of topics and delivery:

“I think it was really well balanced. The presenters came from diverse backgrounds and research was treated holistically by all, so everything felt relevant” P 12.

Impact on knowledge, skills and attributes

One participant described how learning was helpful to understand key areas in greater depth:

“I have an understanding of some critical appraisal and things like that, but it was probably more surface level and the STARS programme helped me to develop that quite significantly” P 1.

For another staff it helped with attending and presenting at different teaching sessions:

“So I’ve attended the regional teaching partnership programs we’ve presented our [name] project across [organisation] who are now looking at setting up a regional program. We’ve presented at NIHR events so yeah, definitely useful” P 13 .

The teaching sessions had a prompt impact on the knowledge and skills of those staff who already had some knowledge of research and also those who had identified specific opportunities to put into practice.

Applying new learning

Some learning on the training had wider applications that went beyond research, topics such as informed consent:

“Things like the informed consent training because for all our new staff that’s a major part of research. So from that we’ve drafted kind of a memoirs and processes formally based on sort of training materials on how an informed consent should be conducted so that we know that everybody starting at the same level” P 11.

Learning on one particular workshop helped to build a participant’s confidence in reading, making sense, and talking about research followed by conducting their own literature review:

“I used the literature review knowledge that I gained to do a very comprehensive literature review. Very rapid, quite comprehensive and then presented it. So I was able to put it into practice straight away” P 3 .

Overall, most of the participants mentioned using the new learning in practice but only a few staff members were able to provide practical examples.

Promoting a research-active environment

Staff discussed how they were using more resources from the organisation such as websites, the local research department, and library services in creating a research identity for themselves and contributing towards a research-active environment within and across their respective departments.

Research career pathways

The STARS programme helped to awaken ambitions for research and staff showed how keen they were on getting involved in doing research. Participants described doing their own research as a better option when other routes for progression were limited in their department:

“where I’m at in my role, there isn’t really anywhere to go unless you want to be a team leader, which isn’t really what I want to do. I really enjoy the patient facing side of things, and so I’ve always kind of said I’d be more interested in more specialized role or doing some research” P 10.

STARS was also useful in the stages of career development and for some it was helpful in starting the new paths as discussed by one:

“It’s either doing a feasibility or that sort of level today as part of a master’s course or doing their pre doctoral the NIHR sort of work to get a project effectively ready” P 6.

However, there was also a sense of being unfulfilled among some of the participants:

“I’d like to progress in it, but it’s where do I take it because I don’t know what opportunities are out there and how to apply for anything really” P 4.
“I’m really interested in doing some research in the area that I work in because I feel like there’s lots of improvements and things that could be made with how we do things and for the clients to get the most out of the service…I think with the STARS stuff I’ve sort of parked it so I’ve got it all saved together in a folder like ready so I can go and access it” P 10.

STARS opened up different routes for career progression for some staff. On the other hand, staff without immediate opportunities to get involved in research reported experiencing frustration because of the fact that there were no obvious opportunities for them to put their improved skills into practice. Success stories (going on a pre-doctoral path; progression for those who were already doing their master’s/doctorate etc.) of those who had some research base highlights the initiation of research identities.

Workforce satisfaction

In addition to feeling motivated to complete their academic qualifications, two staff members discussed how much they valued the STARS training and one participant described staying in their job, in order to access the training:

“I’ve not come across any other type of research training that is like is what the STARS programme offered. I purposely stayed within my role to access this stars training” P 9.

Improving awareness about research support services

The staff interviewees appreciated the associations to other support and resources that they had found out about while attending the STARS training. This included the library services and the R&I team:

“And the fact that our library helps us is phenomenal…So it’s given me a lot of knowledge about the wide organization and just how invested we are in research and that there are people [R&I] to help” P 7.

The STARS programme has been developed with contributions from different departments in order to make it suitable for all staff members to access and understand. This was reflected in the discussion where the interviewees appreciated the other links and resources.

The current paper reports findings from a mixed-methods study, which aimed to evaluate the delivery of a novel research training programme to health and social care staff in a single organisation in England (MPFT). The mixed methods approach generated key data against three of Kirkpatrick’s framework (reaction, learning and behaviour). Quantitative findings demonstrated good engagement with the programme from a diverse range of professional groups; a broad range of reasons were given for engagement. All of which demonstrates the broad appeal and initial reaction to the programme offer, particularly among professional groups who may not ordinarily engage in research (e.g. social care, nursing and midwifery staff). Ratings of session quality were very positive with 97% of ratings either very good or good. Qualitative findings highlighted three key themes: engagement with training, relevance, and impact of training, and promoting a research-active environment. Within these themes, positive reactions to training (e.g. appreciation, satisfaction, collaboration with others, access to new resources), evidence of learning (e.g. understanding critical appraisal) and change in behaviour through practical application (e.g. conducting a literature review) and sharing learning (e.g. networking) were identified. However, barriers still exist for many, including research terminology, limited capacity and the need for wider promotional campaigns.

Comparisons with findings from previous research in other areas and with elements of Gee and Cooke [ 26 ] framework for Research Capacity Development in health care are made, particularly within the areas of Close to Practice (CTP), Infrastructure (INF) and Skills and Confidence Building, which closely align with our findings and help support transferability to other contexts whilst also realising that a training programme can only do so much.

Close to practice

Gee and Cooke’s [ 26 ] ‘Close to Practice’ principle covers themes such as keeping research relevant to health care and informing day-to-day practice The current programme tried to be inclusive of all professional types (i.e. being close to practice); however, as identified in the engaging with teaching sessions theme, some language barriers were highlighted by staff from social care backgrounds who felt excluded due to the clinical/academic language used to deliver the training session – which may have obscured the relevance of the content for this group of learners. Still, the way the STARS programme supports this principle is evident in the content, which addresses both the main strands of the UK and English health policy, driving increased health and care involved in research:

the routine use of research findings in day to day practice;

increased involvement in research activity within the health service.

(referred to by Wakefield et al. [ 13 ] as ‘using research’ and ‘doing research’). The findings of the current evaluation demonstrated that participants’ reasons for booking onto the programme usually included one or both elements. Participants’ motivations also mirrored those found by Dimova et al. [ 15 ], presenting expectations that the STARS content supported both individual career development and organisational objectives such as high-quality patient care. In line with Ariely et al. [ 27 ] and Abramovich and McBride [ 28 ] booking but not attending the current training sessions was an indication toward the perceived low value of the training considering it was completely free for the staff. As the training is free to attend for the staff & managers with no direct impact on teams’ budgets, the priority to attend was given to paid trainings over STARS, sometimes.

Support infrastructure

Gee and Cooke’s [ 26 ] ‘Developing a support infrastructure’ principle covers ‘building additional resources and/or processes into the Trust’s organizational system to enable the smooth and effective running of research projects and for research capacity building’. The findings from the current evaluation, particularly under the ‘Promoting a research-active environment’ them, also showed how a wide-ranging in-house research skills training programme open to all staff can help build resources and processes within a healthcare provider that can support greater research activity.

In terms of processes, distinctive features of this training programme were that it was delivered in-house and entirely online. While the move to online training was necessitated by the pandemic (COVID-19), the evaluation showed that online training has the potential to become the delivery method of choice, particularly for in-house training for organisations covering a wide geographical area. Evaluations comparing online synchronous learning to traditional face-to-face learning have generally shown that (though with certain limitations) online approaches can be effective (George et al. [ 29 ], found this was the case for post registration medical education). In line with previous research, the current evaluation has also shown that an online-only training programme has challenges but can have a positive impact on applying research skills and developing confidence among healthcare staff [ 29 , 30 ].

Participants’ feedback identified the importance yet challenge of incorporating interactivity into online training [ 31 , 32 , 33 ]. Feedback on the length of the teaching sessions demonstrated that long sessions (in this case two hours or longer) could reduce engagement [ 33 , 34 ].

The literature on barriers to health and social care staff carrying out either or both of these activities (research finding use or research activity) identified four main barriers:

lack of time and/or resources;

lack of organisational or management support in other ways;

lack of skills, knowledge, and confidence to undertake research or put evidence into practice and.

lack of opportunities to develop these skills.

The first two of these are linked to infrastructure, resources and processes. The findings of the STARS evaluation showed mixed evidence in this respect. On one hand, the evaluation echoed previous research [ 7 , 8 ] that lack of time or staffing pressures was a major barrier to healthcare staff gaining research skills. Lack of protected time for research activities remains an important barrier to embedding a research-active environment into an organisation. As suggested by King et al. [ 11 ] the current evaluation was also conducted keeping in mind the long-term impacts on the organisational level. The STARS evaluation found the issue of management support, also identified previously [ 8 ], and affected both attendance and opportunities to put skills learnt into practice. On the other hand, the evaluation produced at least one positive example of a manager supporting an attendee in putting skills learnt into practice, resulting in changes in practice.

Research skills and confidence in the workforce

Gee and Cooke’s [ 26 ] ‘skills’ principle covers the provision of training and development opportunities to enable the health and care workforce to develop the skills and confidence to both ‘use’ and ‘do’ research. This principle speaks to the second theme of ‘Relevance and impact of training’ and matches the third and fourth barriers to doing and using research from the research literature mentioned above. This evaluation focused on how the STARS training programme addressed this principle and these barriers.

In terms of the provision of opportunities, the analysis of benefits reported by participants suggest that taking part in the programme contributed to improved skills and confidence in both the ‘using’ and ‘doing’ areas. Comments from the interviews also showed how the STARS programme had addressed the barrier of a lack of opportunities to develop these skills, with two (social care) participants commenting that STARS represented an opportunity not traditionally available to staff from their sector. This helps address one of Wakefield et al’s [ 13 ] recommendations about access to research training opportunities.

Previous research [ 8 , 10 , 13 ] showed that a lack of research skills, confidence and opportunities to gain them were issues associated with non-medical staff groups, particularly nurses, AHPs and social workers. However, the opportunity to gain knowledge and new skills through STARS was valued and staff had plans of using them in the future, echoing the results reported by Bullock et al. [ 35 ] The analysis of demographic data for the STARS programme was based on broad nationally defined staff categories (United Kingdom Electronic Staff Record (ESR) categories – see ‘A Guide to the Staff Group, Job Role and Area of Work classifications used in ESR’); it was difficult to separate, for example, social workers from other staff categories who usually have higher degrees, a high level of research skills, confidence and knowledge. However, the high level of take-up from nursing and midwifery and AHPs suggest that the STARS programme had been of interest to staff groups that previous research had identified as lacking skills, confidence and training opportunities to make evidence-based practice and research activity part of their working culture.

Comments received in the STARS evaluation raised the dilemma of whether it was possible to make content available and relevant to groups of participants with very different professional backgrounds and levels of research knowledge and experience; or whether attempting to achieve this meant the course content did not meet any group’s needs well. The evaluation found both positives and negatives in this respect – gains from sharing the training with colleagues from very different areas and perspectives versus content failing to suit the needs of the participants, very different prior research and professional knowledge and so inhibiting learning in some cases. Previous research was found, evaluating multidisciplinary training provisions that either spanned a range of professional groups working in the same area or students at a similar stage of education studying in different subject areas [ 7 , 9 , 10 , 12 ]. However, no previous research was found evaluating training programmes that matched the STARS participants’ mix of both professional backgrounds and work areas (spanning a range of inpatient and community health and social care settings as well as support services).

Strengths and limitations

The current evaluation contains both quantitative and qualitative primary data from engagers and non-engagers in a novel research education and training programme for a broad range of health and social care professionals. Qualitative methods were designed to be flexible and pragmatic to capture views from busy health and social practitioners; however, emailed responses did not support in-depth exploration. As the interviewer was also a staff member of the same organisation there might have been some undisclosed responses. Findings report key the components of training that worked/did not work; this information could eventually be used to improve future training in this setting and others. As the participants of the STARS programme and current evaluation are located within a health and social care NHS trust in England, the conclusions are relevant to similar settings only. However, findings seem relevant to non-UK health and social care workers. For example, Withington et al. described how their targeted training and mentoring model enhanced research capacity among social workers [ 19 ] Also similar to finding in STARS collaborative approaches have also been discussed as essential by Nystrom et al., in in health and social care context in Sweden to ensure support, trust and understanding among those working in healthcare system [ 36 ]. Despite this limitation, the findings highlight how a research training programme can be tailored around the needs of staff and run virtually during a pandemic.

This evaluation covered a 12-month period in which the STARS programme was rolled out for the first time at MPFT. Findings demonstrate the positive impact that access to free, high-quality, online research education can have in terms of enhancing research awareness and confidence across a diverse range of professional types; some of whom reported unequal access to such training in the past (e.g., social care, nursing and midwifery). Service-level barriers remain that a novel training programme cannot address (e.g., competing burden of clinical roles). It is too early to assess longer-term outcomes relating to the fourth level of Kirkpatrick’s framework (performance) or research culture at an organisation-level; further follow-up research is needed. The STARS programme demonstrates what strong collaboration between NHS and academic institutions can produce and provides a training model that can be adopted and adapted elsewhere to nurture research-active environments and promote research capacity building within and beyond the UK.

Availability of data and materials

The anonymised quantitative raw data from evaluation registers and qualitative data from interviews is available on reasonable requests. The corresponding and first author, GT, should be contacted if someone wants to request the data from this study.

Austin A. What does the new clinical research vision mean for NHS patients and health professionals? England.nhs.uk/blog. 2021. Available at: https://www.england.nhs.uk/blog/what-does-the-new-clinical-research-vision-mean-for-nhs-patients-and-health-professionals/#:~:text=Research%20is%20beneficial%20to%20people,faster%20returns%20to%20everyday%20life . Accessed 18 Feb 2022.

Policy paper. UK Govt. Saving and improving lives: the future of UK Clinical Research Delivery, United Kingdom. 2021. Available at: https://www.gov.uk/government/publications/the-future-of-uk-clinical-research-delivery/saving-and-improving-lives-the-future-of-uk-clinical-research-delivery . Accessed Jan 2022.

National Health Service Making research matter: Chief Nursing Officer for England’s strategic plan for research. Available online at https://www.england.nhs.uk/wp-content/uploads/2021/11/B0880-cno-for-englands-strategic-plan-fo-research.pdf . 2021. Accessed 22 Apr 2022.

Royal College of Physicians. Delivering research for all: expectations and aspirations for the NHS in England (policy statement). Available at Delivering research for all: expectations and aspirations for the NHS in England | RCP London. 2019. Accessed 22 Apr 2022.

Barouki R, Kogevinas M, Audouze K, et al. The COVID-19 pandemic and global environmental change: emerging research needs. Environ Int. 2021;146: 106272.

Article   CAS   PubMed   Google Scholar  

Cooke J, Gardois P, Booth A. Uncovering the mechanisms of research capacity development in health and social care: a realist synthesis. Health Res Policy Syst. 2018;16(1):93.

Article   PubMed   PubMed Central   Google Scholar  

Mustafa K, Murray CC, Nicklin E, et al. Understanding barriers for research involvement among paediatric trainees: a mixed methods study. BMC Med Educ. 2018;18:165.

Fry M, Attawet J. Nursing and midwifery use, perceptions and barriers to evidence-based practice: a cross-sectional survey. Int J Evid Based Healthcare. 2018;16(1):47–54. https://doi.org/10.1097/XEB.0000000000000117 . (Accessed 14 Mar 2022).

Article   Google Scholar  

Barratt H, Fulop NJ. Building capacity to use and undertake research in health organisations: a survey of training needs and priorities among staff. BMJ Open. 2016;6: e012557.

Maben J, King A. Engaging NHS staff in research. BMJ. 2019;365:l4040. https://doi.org/10.1136/bmj.l4040 . (Accessed 22 Apr 2022).

Article   PubMed   Google Scholar  

King O, West E, Lee S, Glenister K, Quilliam C, Wong Shee A, Beks H. Research education and training for nurses and allied health professionals: a systematic scoping review. BMC Med Educ. 2022;22(1):1–55.

Burkinshaw P, Bryant LD, Magee C, et al. Ten years of NIHR research training: perceptions of the programmes: a qualitative interview study. BMJ Open. 2022;12:e046410. https://doi.org/10.1136/bmjopen-2020-046410 . (Accessed 22 Apr 2022).

Wakefield J, Lavender S, Nixon K, et al. Social work and social care: mapping workforce engagement, relevance, experience and interest in research. Br J Social Work. 2021;00:1–21.

Google Scholar  

What is social work/ social care? TCSW. Available: http://www.tcsw.org.uk/what-is-social-work-social-care/ . Sited on: 2 Jan 2024.

Dimova S, Prideaux R, Ball S, et al. Enabling NHS staff to contribute to research. Cambridge: RAND Europe; 2018.

Gilbert A, Steel J, Rachel D, Jaggi A. Identifying barriers and facilitators to engaging in clinical research within an NHS Therapies Department: results of a listening exercise. Physiotherapy. 2016;102:e179.

Jowett SM, Macleod J, Wilson S, Hobbs FD. Research in primary care: extent of involvement and perceived determinants among practitioners from one English region. Br J Gen Pract. 2000;50(454):387–9.

CAS   PubMed   PubMed Central   Google Scholar  

Rahman S, Majumder MA, Shaban SF, Rahman N, Ahmed M, Abdulrahman KB, D’souza UJ. Physician participation in clinical research and trials: issues and approaches. Adv Med Educ Pract. 2011;7:85–93.

Withington T, Alcorn N, Maybery D, Goodyear M. Building research capacity in clinical practice for social workers: a training and mentorship approach. Adv Mental Health. 2020;18(1):73–90.

Papanicolas I, Mossialos E, Gundersen A, Woskie L, Jha AK. Performance of UK National Health Service compared with other high-income countries: observational study. BMJ. 2019;367:6326.

Kirkpatrick DL. Evaluating training programs. Mumbai: Tata McGraw-Hill Education; 1998.

Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol Taylor Francis Online. 2006;3(2):77–101.

Hawkins JE. The practical utility and suitability of email interviews in qualitative research. Qualitative Rep. 2018;23(2):493.

Amri M, Angelakis C, Logan D. Utilizing asynchronous email interviews for health research: overview of benefits and drawbacks. BMC Res Notes. 2021;14(1):1–5.

Kirkpatrick JD, Kirkpatrick WK. Kirkpatrick’s four levels of training evaluation. Association for Talent Development; 2016.

Gee M, Cooke J. How do NHS organisations plan research capacity development? Strategies, strengths, and opportunities for improvement. BMC Health Serv Res. 2018;18(1):1–1.

Ariely D, Loewenstein G, Prelec D. Tom Sawyer and the construction of value. J Econ Behav Organ. 2006;60(1):1–10.

Abramovich S, McBride M. Open education resources and perceptions of financial value. Internet Higher Educ. 2018;39:33–8.

George PP, Zhabenko O, Kyaw BM, et al. Online digital education for post registration training of medical doctors: systematic review by the Digital Health Education Collaboration. J Med Internet Res. 2019;21(2): e13269.

Newport L, Roberts D. Developing online training in wound care. Br J Nurs. 2021;30(12):37–8.

Bączek M, Zagańczyk-Bączek M, Szpringer M, et al. Students’ perception of online learning during the COVID-19 pandemic: a survey study of polish medical students. Medicine. 2021;100(7):e24821.

Clayton KE, Blumberg FC, Anthony JA. Linkages between course status, perceived course value, and students’ preference for traditional versus non-traditional learning environments. Comput Educ. 2018;125:175–81.

Gegenfurtner A, Schmidt-Hertha B, Lewis P. Digital technologies in training and adult education. Int J Train Dev. 2020;24(1):1–4.

Odayappan A, Venkatesh R, Tammineni R, et al. Perspectives of physicians regarding the role of webinars on medical education during the COVID-19 pandemic. Indian J Ophthalmol. 2021;69(5):1251.

Bullock A, Morris ZS, Atwell C. Collaboration between health services managers and researchers: making a difference? J Health Serv Res Policy. 2012;17(2):2–10.

Nyström ME, Karltun J, Keller C, Andersson Gäre B. Collaborative and partnership research for improvement of health and social services: researcher’s experiences from 20 projects. Health Res Policy Syst. 2018;16(1):1–7.

Department of Health. UK policy framework for health and social care research. 2017. Available at: https://www.healthandcareresearch.gov.wales/uploads/Policy%20%26%20Strategy/Research%20Governance/uk-policy-framework-health-social-care-research.pdf . Accessed Feb 2023.

Holm S. Declaration of Helsinki. Int Encyclopedia Ethics. 2013;1:1–4.

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Acknowledgements

The authors acknowledge and sincerely thank the members of the STARS working group for their contributions in delivering the project.

The authors thank CRN I&I strategic funding programme for funding the STARS program.

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Tajuria, G., Dobel-Ober, D., Bradley, E. et al. Evaluating the impact of the supporting the advancement of research skills (STARS) programme on research knowledge, engagement and capacity-building in a health and social care organisation in England. BMC Med Educ 24 , 126 (2024). https://doi.org/10.1186/s12909-024-05059-0

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Video generation models as world simulators.

We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.

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  • View Sora overview

This technical report focuses on (1) our method for turning visual data of all types into a unified representation that enables large-scale training of generative models, and (2) qualitative evaluation of Sora’s capabilities and limitations. Model and implementation details are not included in this report.

Much prior work has studied generative modeling of video data using a variety of methods, including recurrent networks, [^1] [^2] [^3] generative adversarial networks, [^4] [^5] [^6] [^7] autoregressive transformers, [^8] [^9] and diffusion models. [^10] [^11] [^12] These works often focus on a narrow category of visual data, on shorter videos, or on videos of a fixed size. Sora is a generalist model of visual data—it can generate videos and images spanning diverse durations, aspect ratios and resolutions, up to a full minute of high definition video.

Turning visual data into patches

We take inspiration from large language models which acquire generalist capabilities by training on internet-scale data. [^13] [^14] The success of the LLM paradigm is enabled in part by the use of tokens that elegantly unify diverse modalities of text—code, math and various natural languages. In this work, we consider how generative models of visual data can inherit such benefits. Whereas LLMs have text tokens, Sora has visual patches . Patches have previously been shown to be an effective representation for models of visual data. [^15] [^16] [^17] [^18] We find that patches are a highly-scalable and effective representation for training generative models on diverse types of videos and images.

Figure Patches

At a high level, we turn videos into patches by first compressing videos into a lower-dimensional latent space, [^19] and subsequently decomposing the representation into spacetime patches.

Video compression network

We train a network that reduces the dimensionality of visual data. [^20] This network takes raw video as input and outputs a latent representation that is compressed both temporally and spatially. Sora is trained on and subsequently generates videos within this compressed latent space. We also train a corresponding decoder model that maps generated latents back to pixel space.

Spacetime latent patches

Given a compressed input video, we extract a sequence of spacetime patches which act as transformer tokens. This scheme works for images too since images are just videos with a single frame. Our patch-based representation enables Sora to train on videos and images of variable resolutions, durations and aspect ratios. At inference time, we can control the size of generated videos by arranging randomly-initialized patches in an appropriately-sized grid.

Scaling transformers for video generation

Sora is a diffusion model [^21] [^22] [^23] [^24] [^25] ; given input noisy patches (and conditioning information like text prompts), it’s trained to predict the original “clean” patches. Importantly, Sora is a diffusion transformer . [^26] Transformers have demonstrated remarkable scaling properties across a variety of domains, including language modeling, [^13] [^14] computer vision, [^15] [^16] [^17] [^18] and image generation. [^27] [^28] [^29]

Figure Diffusion

In this work, we find that diffusion transformers scale effectively as video models as well. Below, we show a comparison of video samples with fixed seeds and inputs as training progresses. Sample quality improves markedly as training compute increases.

Variable durations, resolutions, aspect ratios

Past approaches to image and video generation typically resize, crop or trim videos to a standard size—e.g., 4 second videos at 256x256 resolution. We find that instead training on data at its native size provides several benefits.

Sampling flexibility

Sora can sample widescreen 1920x1080p videos, vertical 1080x1920 videos and everything inbetween. This lets Sora create content for different devices directly at their native aspect ratios. It also lets us quickly prototype content at lower sizes before generating at full resolution—all with the same model.

Improved framing and composition

We empirically find that training on videos at their native aspect ratios improves composition and framing. We compare Sora against a version of our model that crops all training videos to be square, which is common practice when training generative models. The model trained on square crops (left) sometimes generates videos where the subject is only partially in view. In comparison, videos from Sora (right) have improved framing.

Language understanding

Training text-to-video generation systems requires a large amount of videos with corresponding text captions. We apply the re-captioning technique introduced in DALL·E 3 [^30] to videos. We first train a highly descriptive captioner model and then use it to produce text captions for all videos in our training set. We find that training on highly descriptive video captions improves text fidelity as well as the overall quality of videos.

Similar to DALL·E 3, we also leverage GPT to turn short user prompts into longer detailed captions that are sent to the video model. This enables Sora to generate high quality videos that accurately follow user prompts.

Prompting with images and videos

All of the results above and in our landing page show text-to-video samples. But Sora can also be prompted with other inputs, such as pre-existing images or video. This capability enables Sora to perform a wide range of image and video editing tasks—creating perfectly looping video, animating static images, extending videos forwards or backwards in time, etc.

Animating DALL·E images

Sora is capable of generating videos provided an image and prompt as input. Below we show example videos generated based on DALL·E 2 [^31] and DALL·E 3 [^30] images.

sample of research paper

Extending generated videos

Sora is also capable of extending videos, either forward or backward in time. Below are four videos that were all extended backward in time starting from a segment of a generated video. As a result, each of the four videos starts different from the others, yet all four videos lead to the same ending.

We can use this method to extend a video both forward and backward to produce a seamless infinite loop.

Video-to-video editing

Diffusion models have enabled a plethora of methods for editing images and videos from text prompts. Below we apply one of these methods, SDEdit, [^32] to Sora. This technique enables Sora to transform  the styles and environments of input videos zero-shot.

Connecting videos

We can also use Sora to gradually interpolate between two input videos, creating seamless transitions between videos with entirely different subjects and scene compositions. In the examples below, the videos in the center interpolate between the corresponding videos on the left and right.

Image generation capabilities

Sora is also capable of generating images. We do this by arranging patches of Gaussian noise in a spatial grid with a temporal extent of one frame. The model can generate images of variable sizes—up to 2048x2048 resolution.

sample of research paper

Emerging simulation capabilities

We find that video models exhibit a number of interesting emergent capabilities when trained at scale. These capabilities enable Sora to simulate some aspects of people, animals and environments from the physical world. These properties emerge without any explicit inductive biases for 3D, objects, etc.—they are purely phenomena of scale.

3D consistency. Sora can generate videos with dynamic camera motion. As the camera shifts and rotates, people and scene elements move consistently through three-dimensional space.

Long-range coherence and object permanence. A significant challenge for video generation systems has been maintaining temporal consistency when sampling long videos. We find that Sora is often, though not always, able to effectively model both short- and long-range dependencies. For example, our model can persist people, animals and objects even when they are occluded or leave the frame. Likewise, it can generate multiple shots of the same character in a single sample, maintaining their appearance throughout the video.

Interacting with the world. Sora can sometimes simulate actions that affect the state of the world in simple ways. For example, a painter can leave new strokes along a canvas that persist over time, or a man can eat a burger and leave bite marks.

Simulating digital worlds. Sora is also able to simulate artificial processes–one example is video games. Sora can simultaneously control the player in Minecraft with a basic policy while also rendering the world and its dynamics in high fidelity. These capabilities can be elicited zero-shot by prompting Sora with captions mentioning “Minecraft.”

These capabilities suggest that continued scaling of video models is a promising path towards the development of highly-capable simulators of the physical and digital world, and the objects, animals and people that live within them.

Sora currently exhibits numerous limitations as a simulator. For example, it does not accurately model the physics of many basic interactions, like glass shattering. Other interactions, like eating food, do not always yield correct changes in object state. We enumerate other common failure modes of the model—such as incoherencies that develop in long duration samples or spontaneous appearances of objects—in our landing page .

We believe the capabilities Sora has today demonstrate that continued scaling of video models is a promising path towards the development of capable simulators of the physical and digital world, and the objects, animals and people that live within them.

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Acknowledgments

Please cite as Brooks, Peebles, et al., and use the following BibTeX for citation:  https://openai.com/bibtex/videoworldsimulators2024.bib

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Critical transitions in the Amazon forest system

  • Bernardo M. Flores   ORCID: orcid.org/0000-0003-4555-5598 1 ,
  • Encarni Montoya   ORCID: orcid.org/0000-0002-4690-190X 2 ,
  • Boris Sakschewski   ORCID: orcid.org/0000-0002-7230-9723 3 ,
  • Nathália Nascimento   ORCID: orcid.org/0000-0003-4819-0811 4 ,
  • Arie Staal   ORCID: orcid.org/0000-0001-5409-1436 5 ,
  • Richard A. Betts   ORCID: orcid.org/0000-0002-4929-0307 6 , 7 ,
  • Carolina Levis   ORCID: orcid.org/0000-0002-8425-9479 1 ,
  • David M. Lapola 8 ,
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  • Catarina Jakovac   ORCID: orcid.org/0000-0002-8130-852X 11 ,
  • Carlos A. Nobre 4 ,
  • Rafael S. Oliveira   ORCID: orcid.org/0000-0002-6392-2526 12 ,
  • Laura S. Borma 13 ,
  • Da Nian   ORCID: orcid.org/0000-0002-2320-5223 3 ,
  • Niklas Boers   ORCID: orcid.org/0000-0002-1239-9034 3 , 14 ,
  • Susanna B. Hecht 15 ,
  • Hans ter Steege   ORCID: orcid.org/0000-0002-8738-2659 16 , 17 ,
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  • Isabella L. Lucas 19 ,
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  • José A. Marengo 21 , 22 , 23 ,
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  • Caio R. C. Mattos   ORCID: orcid.org/0000-0002-8635-3901 24 &
  • Marina Hirota   ORCID: orcid.org/0000-0002-1958-3651 1 , 12 , 25  

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  • Climate and Earth system modelling
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The possibility that the Amazon forest system could soon reach a tipping point, inducing large-scale collapse, has raised global concern 1 , 2 , 3 . For 65 million years, Amazonian forests remained relatively resilient to climatic variability. Now, the region is increasingly exposed to unprecedented stress from warming temperatures, extreme droughts, deforestation and fires, even in central and remote parts of the system 1 . Long existing feedbacks between the forest and environmental conditions are being replaced by novel feedbacks that modify ecosystem resilience, increasing the risk of critical transition. Here we analyse existing evidence for five major drivers of water stress on Amazonian forests, as well as potential critical thresholds of those drivers that, if crossed, could trigger local, regional or even biome-wide forest collapse. By combining spatial information on various disturbances, we estimate that by 2050, 10% to 47% of Amazonian forests will be exposed to compounding disturbances that may trigger unexpected ecosystem transitions and potentially exacerbate regional climate change. Using examples of disturbed forests across the Amazon, we identify the three most plausible ecosystem trajectories, involving different feedbacks and environmental conditions. We discuss how the inherent complexity of the Amazon adds uncertainty about future dynamics, but also reveals opportunities for action. Keeping the Amazon forest resilient in the Anthropocene will depend on a combination of local efforts to end deforestation and degradation and to expand restoration, with global efforts to stop greenhouse gas emissions.

The Amazon forest is a complex system of interconnected species, ecosystems and human cultures that contributes to the well-being of people globally 1 . The Amazon forest holds more than 10% of Earth’s terrestrial biodiversity, stores an amount of carbon equivalent to 15–20 years of global CO 2 emissions (150–200 Pg C), and has a net cooling effect (from evapotranspiration) that helps to stabilize the Earth’s climate 1 , 2 , 3 . The forest contributes up to 50% of rainfall in the region and is crucial for moisture supply across South America 4 , allowing other biomes and economic activities to thrive in regions that would otherwise be more arid, such as the Pantanal wetlands and the La Plata river basin 1 . Large parts of the Amazon forest, however, are projected to experience mass mortality events due to climatic and land use-related disturbances in the coming decades 5 , 6 , potentially accelerating climate change through carbon emissions and feedbacks with the climate system 2 , 3 . These impacts would also involve irreversible loss of biodiversity, socioeconomic and cultural values 1 , 7 , 8 , 9 . The Amazon is home to more than 40 million people, including 2.2 million Indigenous peoples of more than 300 ethnicities, as well as afrodescendent and local traditional communities 1 . Indigenous peoples and local communities (IPLCs) would be harmed by forest loss in terms of their livelihoods, lifeways and knowledge systems that inspire societies globally 1 , 7 , 9 .

Understanding the risk of such catastrophic behaviour requires addressing complex factors that shape ecosystem resilience 10 . A major question is whether a large-scale collapse of the Amazon forest system could actually happen within the twenty-first century, and if this would be associated with a particular tipping point. Here we synthesize evidence from paleorecords, observational data and modelling studies of critical drivers of stress on the system. We assess potential thresholds of those drivers and the main feedbacks that could push the Amazon forest towards a tipping point. From examples of disturbed forests across the Amazon, we analyse the most plausible ecosystem trajectories that may lead to alternative stable states 10 . Moreover, inspired by the framework of ‘planetary boundaries’ 11 , we identify climatic and land use boundaries that reveal a safe operating space for the Amazon forest system in the Anthropocene epoch 12 .

Theory and concepts

Over time, environmental conditions fluctuate and may cause stress on ecosystems (for example, lack of water for plants). When stressing conditions intensify, some ecosystems may change their equilibrium state gradually, whereas others may shift abruptly between alternative stable states 10 . A ‘tipping point’ is the critical threshold value of an environmental stressing condition at which a small disturbance may cause an abrupt shift in the ecosystem state 2 , 3 , 13 , 14 , accelerated by positive feedbacks 15 (see Extended Data Table 1 ). This type of behaviour in which the system gets into a phase of self-reinforcing (runaway) change is often referred to as ‘critical transition’ 16 . As ecosystems approach a tipping point, they often lose resilience while still remaining close to equilibrium 17 . Thus, monitoring changes in ecosystem resilience and in key environmental conditions may enable societies to manage and avoid critical transitions. We adopt the concept of ‘ecological resilience’ 18 (hereafter ‘resilience’), which refers to the ability of an ecosystem to persist with similar structure, functioning and interactions, despite disturbances that push it to an alternative stable state. The possibility that alternative stable states (or bistability) may exist in a system has important implications, because the crossing of tipping points may be irreversible for the time scales that matter to societies 10 . Tropical terrestrial ecosystems are a well-known case in which critical transitions between alternative stable states may occur (Extended Data Fig. 1 ).

Past dynamics

The Amazon system has been mostly covered by forest throughout the Cenozoic era 19 (for 65 million years). Seven million years ago, the Amazon river began to drain the massive wetlands that covered most of the western Amazon, allowing forests to expand over grasslands in that region. More recently, during the drier and cooler conditions of the Last Glacial Maximum 20 (LGM) (around 21,000 years ago) and of the mid-Holocene epoch 21 (around 6,000 years ago), forests persisted even when humans were already present in the landscape 22 . Nonetheless, savannas expanded in peripheral parts of the southern Amazon basin during the LGM and mid-Holocene 23 , as well as in the northeastern Amazon during the early Holocene (around 11,000 years ago), probably influenced by drier climatic conditions and fires ignited by humans 24 , 25 . Throughout the core of the Amazon forest biome, patches of white-sand savanna also expanded in the past 20,000–7,000 years, driven by sediment deposition along ancient rivers 26 , and more recently (around 800 years ago) owing to Indigenous fires 27 . However, during the past 3,000 years, forests have been mostly expanding over savanna in the southern Amazon driven by increasingly wet conditions 28 .

Although palaeorecords suggest that a large-scale Amazon forest collapse did not occur within the past 65 million years 19 , they indicate that savannas expanded locally, particularly in the more seasonal peripheral regions when fires ignited by humans were frequent 23 , 24 . Patches of white-sand savanna also expanded within the Amazon forest owing to geomorphological dynamics and fires 26 , 27 . Past drought periods were usually associated with much lower atmospheric CO 2 concentrations, which may have reduced water-use efficiency of trees 29 (that is, trees assimilated less carbon during transpiration). However, these periods also coincided with cooler temperatures 20 , 21 , which probably reduced water demand by trees 30 . Past drier climatic conditions were therefore very different from the current climatic conditions, in which observed warming trends may exacerbate drought impacts on the forest by exposing trees to unprecedented levels of water stress 31 , 32 .

Global change impacts on forest resilience

Satellite observations from across the Amazon suggest that forest resilience has been decreasing since the early 2000s 33 , possibly as a result of global changes. In this section, we synthesize three global change impacts that vary spatially and temporally across the Amazon system, affecting forest resilience and the risk of critical transitions.

Regional climatic conditions

Within the twenty-first century, global warming may cause long-term changes in Amazonian climatic conditions 2 . Human greenhouse gas emissions continue to intensify global warming, but the warming rate also depends on feedbacks in the climate system that remain uncertain 2 , 3 . Recent climate models of the 6th phase of the Coupled Model Intercomparison Project (CMIP6) agree that in the coming decades, rainfall conditions will become more seasonal in the eastern and southern Amazonian regions, and temperatures will become higher across the entire Amazon 1 , 2 . By 2050, models project that a significant increase in the number of consecutive dry days by 10−30 days and in annual maximum temperatures by 2–4 °C, depending on the greenhouse gas emission scenario 2 . These climatic conditions could expose the forest to unprecedented levels of vapour pressure deficit 31 and consequently water stress 30 .

Satellite observations of climatic variability 31 confirm model projections 2 , showing that since the early 1980s, the Amazonian region has been warming significantly at an average rate of 0.27 °C per decade during the dry season, with the highest rates of up to 0.6 °C per decade in the centre and southeast of the biome (Fig. 1a ). Only a few small areas in the west of the biome are significantly cooling by around 0.1 °C per decade (Fig. 1a ). Dry season mean temperature is now more than 2 °C higher than it was 40 years ago in large parts of the central and southeastern Amazon. If trends continue, these areas could potentially warm by over 4 °C by 2050. Maximum temperatures during the dry season follow a similar trend, rising across most of the biome (Extended Data Fig. 2 ), exposing the forest 34 and local peoples 35 to potentially unbearable heat. Rising temperatures will increase thermal stress, potentially reducing forest productivity and carbon storage capacity 36 and causing widespread leaf damage 34 .

figure 1

a , Changes in the dry season (July–October) mean temperature reveal widespread warming, estimated using simple regressions between time and temperature observed between 1981 and 2020 (with P  < 0.1). b , Potential ecosystem stability classes estimated for year 2050, adapted from current stability classes (Extended Data Fig. 1b ) by considering only areas with significant regression slopes between time and annual rainfall observed from 1981 through 2020 (with P  < 0.1) (see Extended Data Fig. 3 for areas with significant changes). c , Repeated extreme drought events between 2001–2018 (adapted from ref. 39 ). d , Road network from where illegal deforestation and degradation may spread. e , Protected areas and Indigenous territories reduce deforestation and fire disturbances. f , Ecosystem transition potential (the possibility of forest shifting into an alternative structural or compositional state) across the Amazon biome by year 2050 inferred from compounding disturbances ( a – d ) and high-governance areas ( e ). We excluded accumulated deforestation until 2020 and savannas. Transition potential rises with compounding disturbances and varies as follows: less than 0 (in blue) as low; between 1 and 2 as moderate (in yellow); more than 2 as high (orange–red). Transition potential represents the sum of: (1) slopes of dry season mean temperature (as in a , multiplied by 10); (2) ecosystem stability classes estimated for year 2050 (as in b ), with 0 for stable forest, 1 for bistable and 2 for stable savanna; (3) accumulated impacts from extreme drought events, with 0.2 for each event; (4) road proximity as proxy for degrading activities, with 1 for pixels within 10 km from a road; (5) areas with higher governance within protected areas and Indigenous territories, with −1 for pixels inside these areas. For more details, see  Methods .

Since the early 1980s, rainfall conditions have also changed 31 . Peripheral and central parts of the Amazon forest are drying significantly, such as in the southern Bolivian Amazon, where annual rainfall reduced by up to 20 mm yr −1 (Extended Data Fig. 3a ). By contrast, parts of the western and eastern Amazon forest are becoming wetter, with annual rainfall increasing by up to 20 mm yr −1 . If these trends continue, ecosystem stability (as in Extended Data Fig. 1 ) will probably change in parts of the Amazon by 2050, reshaping forest resilience to disturbances (Fig. 1b and Extended Data Fig. 3b ). For example, 6% of the biome may change from stable forest to a bistable regime in parts of the southern and central Amazon. Another 3% of the biome may pass the critical threshold in annual rainfall into stable savanna in the southern Bolivian Amazon. Bistable areas covering 8% of the biome may turn into stable forest in the western Amazon (Peru and Bolivia), thus becoming more resilient to disturbances. For comparison with satellite observations, we used projections of ecosystem stability by 2050 based on CMIP6 model ensembles for a low (SSP2–4.5) and a high (SSP5–8.5) greenhouse gas emission scenario (Extended Data Fig. 4 and Supplementary Table 1 ). An ensemble with the 5 coupled models that include a dynamic vegetation module indicates that 18–27% of the biome may transition from stable forest to bistable and that 2–6% may transition to stable savanna (depending on the scenario), mostly in the northeastern Amazon. However, an ensemble with all 33 models suggests that 35–41% of the biome could become bistable, including large areas of the southern Amazon. The difference between both ensembles is possibly related to the forest–rainfall feedback included in the five coupled models, which increases total annual rainfall and therefore the stable forest area along the southern Amazon, but only when deforestation is not included in the simulations 4 , 37 . Nonetheless, both model ensembles agree that bistable regions will expand deeper into the Amazon, increasing the risk of critical transitions due to disturbances (as implied by the existence of alternative stable states; Extended Data Fig. 1 ).

Disturbance regimes

Within the remaining Amazon forest area, 17% has been degraded by human disturbances 38 , such as logging, edge effects and understory fires, but if we consider also the impacts from repeated extreme drought events in the past decades, 38% of the Amazon could be degraded 39 . Increasing rainfall variability is causing extreme drought events to become more widespread and frequent across the Amazon (Fig. 1c ), together with extreme wet events and convective storms that result in more windthrow disturbances 40 . Drought regimes are intensifying across the region 41 , possibly due to deforestation 42 that continues to expand within the system (Extended Data Fig. 5 ). As a result, new fire regimes are burning larger forest areas 43 , emitting more carbon to the atmosphere 44 and forcing IPLCs to readapt 45 . Road networks (Fig. 1d ) facilitate illegal activities, promoting more deforestation, logging and fire spread throughout the core of the Amazon forest 38 , 39 . The impacts of these pervasive disturbances on biodiversity and on IPLCs will probably affect ecosystem adaptability (Box 1 ), and consequently forest resilience to global changes.

Currently, 86% of the Amazon biome may be in a stable forest state (Extended Data Fig. 1b ), but some of these stable forests are showing signs of fragility 33 . For instance, field evidence from long-term monitoring sites across the Amazon shows that tree mortality rates are increasing in most sites, reducing carbon storage 46 , while favouring the replacement by drought-affiliated species 47 . Aircraft measurements of vertical carbon flux between the forest and atmosphere reveal how southeastern forests are already emitting more carbon than they absorb, probably because of deforestation and fire 48 .

As bistable forests expand deeper into the system (Fig. 1b and Extended Data Fig. 4 ), the distribution of compounding disturbances may indicate where ecosystem transitions are more likely to occur in the coming decades (Fig. 1f ). For this, we combined spatial information on warming and drying trends, repeated extreme drought events, together with road networks, as proxy for future deforestation and degradation 38 , 39 . We also included protected areas and Indigenous territories as areas with high forest governance, where deforestation and fire regimes are among the lowest within the Amazon 49 (Fig. 1e ). This simple additive approach does not consider synergies between compounding disturbances that could trigger unexpected ecosystem transitions. However, by exploring only these factors affecting forest resilience and simplifying the enormous Amazonian complexity, we aimed to produce a simple and comprehensive map that can be useful for guiding future governance. We found that 10% of the Amazon forest biome has a relatively high transition potential (more than 2 disturbance types; Fig. 1f ), including bistable forests that could transition into a low tree cover state near savannas of Guyana, Venezuela, Colombia and Peru, as well as stable forests that could transition into alternative compositional states within the central Amazon, such as along the BR319 and Trans-Amazonian highways. Smaller areas with high transition potential were found scattered within deforestation frontiers, where most forests have been carved by roads 50 , 51 . Moreover, 47% of the biome has a moderate transition potential (more than 1 disturbance type; Fig. 1f ), including relatively remote parts of the central Amazon where warming trends and repeated extreme drought events overlap (Fig. 1a,c ). By contrast, large remote areas covering 53% of the biome have low transition potential, mostly reflecting the distribution of protected areas and Indigenous territories (Fig. 1e ). If these estimates, however, considered projections from CMIP6 models and their relatively broader areas of bistability (Extended Data Fig. 4 ), the proportion of the Amazon forest that could transition into a low tree cover state would be much larger.

Box 1 Ecosystem adaptability

We define ‘ecosystem adaptability’ as the capacity of an ecosystem to reorganize and persist in the face of environmental changes. In the past, many internal mechanisms have probably contributed to ecosystem adaptability, allowing Amazonian forests to persist during times of climate change. In this section we synthesize two of these internal mechanisms, which are now being undermined by global change.

Biodiversity

Amazonian forests are home to more than 15,000 tree species, of which 1% are dominant and the other 99% are mostly rare 107 . A single forest hectare in the central and northwestern Amazon can contain more than 300 tree species (Extended Data Fig. 7a ). Such tremendous tree species diversity can increase forest resilience by different mechanisms. Tree species complementarity increases carbon storage, accelerating forest recovery after disturbances 108 . Tree functional diversity increases forest adaptability to climate chance by offering various possibilities of functioning 99 . Rare species provide ‘ecological redundancy’, increasing opportunities for replacement of lost functions when dominant species disappear 109 . Diverse forests are also more likely to resist severe disturbances owing to ‘response diversity’ 110 —that is, some species may die, while others persist. For instance, in the rainy western Amazon, drought-resistant species are rare but present within tree communities 111 , implying that they could replace the dominant drought-sensitive species in a drier future. Diversity of other organisms, such as frugivores and pollinators, also increases forest resilience by stabilizing ecological networks 15 , 112 . Considering that half of Amazonian tree species are estimated to become threatened (IUCN Red list) by 2050 owing to climate change, deforestation and degradation 8 , biodiversity losses could contribute to further reducing forest resilience.

Indigenous peoples and local communities

Globally, Indigenous peoples and local communities (IPLCs) have a key role in maintaining ecosystems resilient to global change 113 . Humans have been present in the Amazon for at least 12,000 years 114 and extensively managing landscapes for 6,000 years 22 . Through diverse ecosystem management practices, humans built thousands of earthworks and ‘Amazon Dark Earth’ sites, and domesticated plants and landscapes across the Amazon forest 115 , 116 . By creating new cultural niches, humans partly modified the Amazonian flora 117 , 118 , increasing their food security even during times of past climate change 119 , 120 without the need for large-scale deforestation 117 . Today, IPLCs have diverse ecological knowledge about Amazonian plants, animals and landscapes, which allows them to quickly identify and respond to environmental changes with mitigation and adaptation practices 68 , 69 . IPLCs defend their territories against illegal deforestation and land use disturbances 49 , 113 , and they also promote forest restoration by expanding diverse agroforestry systems 121 , 122 . Amazonian regions with the highest linguistic diversity (a proxy for ecological knowledge diversity 123 ) are found in peripheral parts of the system, particularly in the north-west (Extended Data Fig. 7b ). However, consistent loss of Amazonian languages is causing an irreversible disruption of ecological knowledge systems, mostly driven by road construction 7 . Continued loss of ecological knowledge will undermine the capacity of IPLCs to manage and protect Amazonian forests, further reducing their resilience to global changes 9 .

CO 2 fertilization

Rising atmospheric CO 2 concentrations are expected to increase the photosynthetic rates of trees, accelerating forest growth and biomass accumulation on a global scale 52 . In addition, CO 2 may reduce water stress by increasing tree water-use efficiency 29 . As result, a ‘CO 2 fertilization effect’ could increase forest resilience to climatic variability 53 , 54 . However, observations from across the Amazon 46 suggest that CO 2 -driven accelerations of tree growth may have contributed to increasing tree mortality rates (trees grow faster but also die earlier), which could eventually neutralize the forest carbon sink in the coming decades 55 . Moreover, increases in tree water-use efficiency may reduce forest transpiration and consequently atmospheric moisture flow across the Amazon 53 , 56 , potentially reducing forest resilience in the southwest of the biome 4 , 37 . Experimental evidence suggests that CO 2 fertilization also depends on soil nutrient availability, particularly nitrogen and phosphorus 57 , 58 . Thus, it is possible that in the fertile soils of the western Amazon and Várzea floodplains, forests may gain resilience from increasing atmospheric CO 2 (depending on how it affects tree mortality rates), whereas on the weathered (nutrient-poor) soils across most of the Amazon basin 59 , forests might not respond to atmospheric CO 2 increase, particularly on eroded soils within deforestation frontiers 60 . In sum, owing to multiple interacting factors, potential responses of Amazonian forests to CO 2 fertilization are still poorly understood. Forest responses depend on scale, with resilience possibly increasing at the local scale on relatively more fertile soils, but decreasing at the regional scale due to reduced atmospheric moisture flow.

Local versus systemic transition

Environmental heterogeneity.

Environmental heterogeneity can reduce the risk of systemic transition (large-scale forest collapse) because when stressing conditions intensify (for example, rainfall declines), heterogeneous forests may transition gradually (first the less resilient forest patches, followed by the more resilient ones), compared to homogeneous forests that may transition more abruptly 17 (all forests transition in synchrony). Amazonian forests are heterogeneous in their resilience to disturbances, which may have contributed to buffering large-scale transitions in the past 37 , 61 , 62 . At the regional scale, a fundamental heterogeneity factor is rainfall and how it translates into water stress. Northwestern forests rarely experience water stress, which makes them relatively more resilient than southeastern forests that may experience water stress in the dry season, and therefore are more likely to shift into a low tree cover state. As a result of low exposure to water deficit, most northwestern forests have trees with low drought resistance and could suffer massive mortality if suddenly exposed to severe water stress 32 . However, this scenario seems unlikely to occur in the near future (Fig. 1 ). By contrast, most seasonal forest trees have various strategies to cope with water deficit owing to evolutionary and adaptive responses to historical drought events 32 , 63 . These strategies may allow seasonal forests to resist current levels of rainfall fluctuations 32 , but seasonal forests are also closer to the critical rainfall thresholds (Extended Data Fig. 1 ) and may experience unprecedented water stress in the coming decades (Fig. 1 ).

Other key heterogeneity factors (Extended Data Fig. 6 ) include topography, which determines plant access to groundwater 64 , and seasonal flooding, which increases forest vulnerability to wildfires 65 . Future changes in rainfall regimes will probably affect hydrological regimes 66 , exposing plateau (hilltop) forests to unprecedented water stress, and floodplain forests to extended floods, droughts and wildfires. Soil fertility is another heterogeneity factor that may affect forest resilience 59 , and which may be undermined by disturbances that cause topsoil erosion 60 . Moreover, as human disturbances intensify throughout the Amazon (Fig. 1 ), the spread of invasive grasses and fires can make the system increasingly homogeneous. Effects of heterogeneity on Amazon forest resilience have been poorly investigated so far (but see refs. 37 , 61 , 62 ) and many questions remain open, such as how much heterogeneity exists in the system and whether it can mitigate a systemic transition.

Sources of connectivity

Connectivity across Amazonian landscapes and regions can contribute to synchronize forest dynamics, causing different forests to behave more similarly 17 . Depending on the processes involved, connectivity can either increase or decrease the risk of systemic transition 17 . For instance, connectivity may facilitate forest recovery after disturbances through seed dispersal, but also it may spread disturbances, such as fire. In the Amazon, an important source of connectivity enhancing forest resilience is atmospheric moisture flow westward (Fig. 2 ), partly maintained by forest evapotranspiration 4 , 37 , 67 . Another example of connectivity that may increase social-ecological resilience is knowledge exchange among IPLCs about how to adapt to global change 68 , 69 (see Box 1 ). However, complex systems such as the Amazon can be particularly vulnerable to sources of connectivity that spread disturbances and increase the risk of systemic transition 70 . For instance, roads carving through the forest are well-known sources of illegal activities, such as logging and burning, which increase forest flammability 38 , 39 .

figure 2

Brazil holds 60% of the Amazon forest biome and has a major responsibility towards its neighbouring countries in the west. Brazil is the largest supplier of rainfall to western Amazonian countries. Up to one-third of the total annual rainfall in Amazonian territories of Bolivia, Peru, Colombia and Ecuador depends on water originating from Brazil’s portion of the Amazon forest. This international connectivity illustrates how policies related to deforestation, especially in the Brazilian Amazon, will affect the climate in other countries. Arrow widths are proportional to the percentage of the annual rainfall received by each country within their Amazonian areas. We only show flows with percentages higher than 10% (see  Methods for details).

Five critical drivers of water stress

Global warming.

Most CMIP6 models agree that a large-scale dieback of the Amazon is unlikely in response to global warming above pre-industrial levels 2 , but this ecosystem response is based on certain assumptions, such as a large CO 2 -fertilization effect 53 . Forests across the Amazon are already responding with increasing tree mortality rates that are not simulated by these models 46 , possibly because of compounding disturbance regimes (Fig. 1 ). Nonetheless, a few global climate models 3 , 14 , 71 , 72 , 73 , 74 indicate a broad range for a potential critical threshold in global warming between 2 and 6 °C (Fig. 3a ). These contrasting results can be explained by general differences between numerical models and their representation of the complex Amazonian system. While some models with dynamic vegetation indicate local-scale tipping events in peripheral parts of the Amazon 5 , 6 , other models suggest an increase in biomass and forest cover (for example, in refs. 53 , 54 ). For instance, a study found that when considering only climatic variability, a large-scale Amazon forest dieback is unlikely, even under a high greenhouse gas emission scenario 75 . However, most updated CMIP6 models agree that droughts in the Amazon region will increase in length and intensity, and that exceptionally hot droughts will become more common 2 , creating conditions that will probably boost other types of disturbances, such as large and destructive forest fires 76 , 77 . To avoid broad-scale ecosystem transitions due to synergies between climatic and land use disturbances (Fig. 3b ), we suggest a safe boundary for the Amazon forest at 1.5 °C for global warming above pre-industrial levels, in concert with the Paris Agreement goals.

figure 3

a , Five critical drivers of water stress on Amazonian forests affect (directly or indirectly) the underlying tipping point of the system. For each driver, we indicate potential critical thresholds and safe boundaries that define a safe operating space for keeping the Amazon forest resilient 11 , 12 . We followed the precautionary principle and considered the most conservative thresholds within the ranges, when confidence was low. b , Conceptual model showing how the five drivers may interact (arrows indicate positive effects) and how these interactions may strengthen a positive feedback between water stress and forest loss. These emerging positive feedback loops could accelerate a systemic transition of the Amazon forest 15 . At global scales, driver 1 (global warming) intensifies with greenhouse gas emissions, including emissions from deforestation. At local scales, driver 5 (accumulated deforestation) intensifies with land use changes. Drivers 2 to 4 (regional rainfall conditions) intensify in response to drivers 1 and 5. The intensification of these drivers may cause widespread tree mortality for instance because of extreme droughts and fires 76 . Water stress affects vegetation resilience globally 79 , 104 , but other stressors, such as heat stress 34 , 36 , may also have a role. In the coming decades, these five drivers could change at different rates, with some approaching a critical threshold faster than others. Therefore, monitoring them separately can provide vital information to guide mitigation and adaptation strategies.

Annual rainfall

Satellite observations of tree cover distributions across tropical South America suggest a critical threshold between 1,000 and 1,250 mm of annual rainfall 78 , 79 . On the basis of our reanalysis using tree cover data from the Amazon basin (Extended Data Fig. 1a ), we confirm a potential threshold at 1,000 mm of annual rainfall (Fig. 3a ), below which forests become rare and unstable. Between 1,000 and 1,800 mm of annual rainfall, high and low tree cover ecosystems exist in the Amazon as two alternative stable states (see Extended Data Table 2 for uncertainty ranges). Within the bistability range in annual rainfall conditions, forests are relatively more likely to collapse when severely disturbed, when compared to forests in areas with annual rainfall above 1,800 mm (Extended Data Fig. 1a ). For floodplain ecosystems covering 14% of the forest biome, a different critical threshold has been estimated at 1,500 mm of annual rainfall 65 , implying that floodplain forests may be the first to collapse in a drier future. To avoid local-scale ecosystem transitions due to compounding disturbances, we suggest a safe boundary in annual rainfall conditions at 1,800 mm.

Rainfall seasonality intensity

Satellite observations of tree cover distributions across tropical South America suggest a critical threshold in rainfall seasonality intensity at −400 mm of the maximum cumulative water deficit 37 , 80 (MCWD). Our reanalysis of the Amazon basin (Extended Data Fig. 1c ) confirms the critical threshold at approximately −450 mm in the MCWD (Fig. 3a ), and suggests a bistability range between approximately −350 and −450 mm (see Extended Data Table 2 for uncertainty ranges), in which forests are more likely to collapse when severely disturbed than forests in areas with MCWD below −350 mm. To avoid local-scale ecosystem transitions due to compounding disturbances, we suggest a safe boundary of MCWD at −350 mm.

Dry season length

Satellite observations of tree cover distributions across tropical South America suggest a critical threshold at 7 months of dry season length 79 (DSL). Our reanalysis of the Amazon basin (Extended Data Fig. 1d ) suggests a critical threshold at eight months of DSL (Fig. 3a ), with a bistability range between approximately five and eight months (see Extended Data Table 2 for uncertainty ranges), in which forests are more likely to collapse when severely disturbed than forests in areas with DSL below five months. To avoid local-scale ecosystem transitions due to compounding disturbances, we suggest a safe boundary of DSL at five months.

Accumulated deforestation

A potential vegetation model 81 found a critical threshold at 20% of accumulated deforestation (Fig. 3a ) by simulating Amazon forest responses to different scenarios of accumulated deforestation (with associated fire events) and of greenhouse gas emissions, and by considering a CO 2 fertilization effect of 25% of the maximum photosynthetic assimilation rate. Beyond 20% deforestation, forest mortality accelerated, causing large reductions in regional rainfall and consequently an ecosystem transition of 50−60% of the Amazon, depending on the emissions scenario. Another study using a climate-vegetation model found that with accumulated deforestation of 30−50%, rainfall in non-deforested areas downwind would decline 67 by 40% (ref.  67 ), potentially causing more forest loss 4 , 37 . Other more recent models incorporating fire disturbances support a potential broad-scale transition of the Amazon forest, simulating a biomass loss of 30–40% under a high-emission scenario 5 , 82 (SSP5–8.5 at 4 °C). The Amazon biome has already lost 13% of its original forest area due to deforestation 83 (or 15% of the biome if we consider also young secondary forests 83 that provide limited contribution to moisture flow 84 ). Among the remaining old-growth forests, at least 38% have been degraded by land use disturbances and repeated extreme droughts 39 , with impacts on moisture recycling that are still uncertain. Therefore, to avoid broad-scale ecosystem transitions due to runaway forest loss (Fig. 3b ), we suggest a safe boundary of accumulated deforestation of 10% of the original forest biome cover, which requires ending large-scale deforestation and restoring at least 5% of the biome.

Three alternative ecosystem trajectories

Degraded forest.

In stable forest regions of the Amazon with annual rainfall above 1,800 mm (Extended Data Fig. 1b ), forest cover usually recovers within a few years or decades after disturbances, yet forest composition and functioning may remain degraded for decades or centuries 84 , 85 , 86 , 87 . Estimates from across the Amazon indicate that approximately 30% of areas previously deforested are in a secondary forest state 83 (covering 4% of the biome). An additional 38% of the forest biome has been damaged by extreme droughts, fires, logging and edge effects 38 , 39 . These forests may naturally regrow through forest succession, yet because of feedbacks 15 , succession can become arrested, keeping forests persistently degraded (Fig. 4 ). Different types of degraded forests have been identified in the Amazon, each one associated with a particular group of dominant opportunistic plants. For instance, Vismia forests are common in old abandoned pastures managed with fire 85 , and are relatively stable, because Vismia trees favour recruitment of Vismia seedlings in detriment of other tree species 88 , 89 . Liana forests can also be relatively stable, because lianas self-perpetuate by causing physical damage to trees, allowing lianas to remain at high density 90 , 91 . Liana forests are expected to expand with increasing aridity, disturbance regimes and CO 2 fertilization 90 . Guadua bamboo forests are common in the southwestern Amazon 92 , 93 . Similar to lianas, bamboos self-perpetuate by causing physical damage to trees and have been expanding over burnt forests in the region 92 . Degraded forests are usually dominated by native opportunistic species, and their increasing expansion over disturbed forests could affect Amazonian functioning and resilience in the future.

figure 4

From examples of disturbed forests across the Amazon, we identify the three most plausible ecosystem trajectories related to the types of disturbances, feedbacks and local environmental conditions. These alternative trajectories may be irreversible or transient depending on the strength of the novel interactions 15 . Particular combinations of interactions (arrows show positive effects described in the literature) may form feedback loops 15 that propel the ecosystem through these trajectories. In the ‘degraded forest’ trajectory, feedbacks often involve competition between trees and other opportunistic plants 85 , 90 , 92 , as well as interactions between deforestation, fire and seed limitation 84 , 87 , 105 . At the landscape scale, secondary forests are more likely to be cleared than mature forests, thus keeping forests persistently young and landscapes fragmented 83 . In the ‘degraded open-canopy ecosystem’ trajectory, feedbacks involve interactions among low tree cover and fire 97 , soil erosion 60 , seed limitation 105 , invasive grasses and opportunistic plants 96 . At the regional scale, a self-reinforcing feedback between forest loss and reduced atmospheric moisture flow may increase the resilience of these open-canopy degraded ecosystems 42 . In the ‘white-sand savanna’ trajectory, the main feedbacks result from interactions among low tree cover and fire, soil erosion, and seed limitation 106 . Bottom left, floodplain forest transition to white-sand savanna after repeated fires (photo credit: Bernardo Flores); bottom centre, forest transition to degraded open-canopy ecosystem after repeated fires (photo credit: Paulo Brando); bottom right, forest transition to Vismia degraded forest after slash-and-burn agriculture (photo credit: Catarina Jakovac).

White-sand savanna

White-sand savannas are ancient ecosystems that occur in patches within the Amazon forest biome, particularly in seasonally waterlogged or flooded areas 94 . Their origin has been attributed to geomorphological dynamics and past Indigenous fires 26 , 27 , 94 . In a remote landscape far from large agricultural frontiers, within a stable forest region of the Amazon (Extended Data Fig. 1b ), satellite and field evidence revealed that white-sand savannas are expanding where floodplain forests were repeatedly disturbed by fires 95 . After fire, the topsoil of burnt forests changes from clayey to sandy, favouring the establishment of savanna trees and native herbaceous plants 95 . Shifts from forest to white-sand savanna (Fig. 4 ) are probably stable (that is, the ecosystem is unlikely to recover back to forest within centuries), based on the relatively long persistence of these savannas in the landscape 94 . Although these ecosystem transitions have been confirmed only in the Negro river basin (central Amazon), floodplain forests in other parts of the Amazon were shown to be particularly vulnerable to collapse 45 , 64 , 65 .

Degraded open-canopy ecosystem

In bistable regions of the Amazon forest with annual rainfall below 1,800 mm (Extended Data Fig. 1b ), shifts to degraded open-canopy ecosystems are relatively common after repeated disturbances by fire 45 , 96 . The ecosystem often becomes dominated by fire-tolerant tree and palm species, together with alien invasive grasses and opportunistic herbaceous plants 96 , 97 , such as vines and ferns. Estimates from the southern Amazon indicate that 5−6% of the landscape has already shifted into degraded open-canopy ecosystems due to deforestation and fires 45 , 96 . It is still unclear, however, whether degraded open-canopy ecosystems are stable or transient (Fig. 4 ). Palaeorecords from the northern Amazon 98 show that burnt forests may spend centuries in a degraded open-canopy state before they eventually shift into a savanna. Today, invasion by alien flammable grasses is a novel stabilizing mechanism 96 , 97 , but the long-term persistence of these grasses in the ecosystem is also uncertain.

Prospects for modelling Amazon forest dynamics

Several aspects of the Amazon forest system may help improve earth system models (ESMs) to more accurately simulate ecosystem dynamics and feedbacks with the climate system. Simulating individual trees can improve the representation of growth and mortality dynamics, which ultimately affect forest dynamics (for example, refs. 61 , 62 , 99 ). Significant effects on simulation results may emerge from increasing plant functional diversity, representation of key physiological trade-offs and other features that determine water stress on plants, and also allowing for community adjustment to environmental heterogeneity and global change 32 , 55 , 62 , 99 . For now, most ESMs do not simulate a dynamic vegetation cover (Supplementary Table 1 ) and biomes are represented based on few plant functional types, basically simulating monocultures on the biome level. In reality, tree community adaptation to a heterogenous and dynamic environment feeds into the whole-system dynamics, and not covering such aspects makes a true Amazon tipping assessment more challenging.

Our findings also indicate that Amazon forest resilience is affected by compounding disturbances (Fig. 1 ). ESMs need to include different disturbance scenarios and potential synergies for creating more realistic patterns of disturbance regimes. For instance, logging and edge effects can make a forest patch more flammable 39 , but these disturbances are often not captured by ESMs. Improvements in the ability of ESMs to predict future climatic conditions are also required. One way is to identify emergent constraints 100 , lowering ESMs variations in their projections of the Amazonian climate. Also, fully coupled ESMs simulations are needed to allow estimates of land-atmosphere feedbacks, which may adjust climatic and ecosystem responses. Another way to improve our understanding of the critical thresholds for Amazonian resilience and how these link to climatic conditions and to greenhouse gas concentrations is through factorial simulations with ESMs. In sum, although our study may not deliver a set of reliable and comprehensive equations to parameterize processes impacting Amazon forest dynamics, required for implementation in ESMs, we highlight many of the missing modelled processes.

Implications for governance

Forest resilience is changing across the Amazon as disturbance regimes intensify (Fig. 1 ). Although most recent models agree that a large-scale collapse of the Amazon forest is unlikely within the twenty-first century 2 , our findings suggest that interactions and synergies among different disturbances (for example, frequent extreme hot droughts and forest fires) could trigger unexpected ecosystem transitions even in remote and central parts of the system 101 . In 2012, Davidson et al. 102 demonstrated how the Amazon basin was experiencing a transition to a ‘disturbance-dominated regime’ related to climatic and land use changes, even though at the time, annual deforestation rates were declining owing to new forms of governance 103 . Recent policy and approaches to Amazon development, however, accelerated deforestation that reached 13,000 km 2 in the Brazilian Amazon in 2021 ( http://terrabrasilis.dpi.inpe.br ). The southeastern region has already turned into a source of greenhouse gases to the atmosphere 48 . The consequences of losing the Amazon forest, or even parts of it, imply that we must follow a precautionary approach—that is, we must take actions that contribute to maintain the Amazon forest within safe boundaries 12 . Keeping the Amazon forest resilient depends firstly on humanity’s ability to stop greenhouse gas emissions, mitigating the impacts of global warming on regional climatic conditions 2 . At the local scale, two practical and effective actions need to be addressed to reinforce forest–rainfall feedbacks that are crucial for the resilience of the Amazon forest 4 , 37 : (1) ending deforestation and forest degradation; and (2) promoting forest restoration in degraded areas. Expanding protected areas and Indigenous territories can largely contribute to these actions. Our findings suggest a list of thresholds, disturbances and feedbacks that, if well managed, can help maintain the Amazon forest within a safe operating space for future generations.

Our study site was the area of the Amazon basin, considering large areas of tropical savanna biome along the northern portion of the Brazilian Cerrado, the Gran Savana in Venezuela and the Llanos de Moxos in Bolivia, as well as the Orinoco basin to the north, and eastern parts of the Andes to the west. The area includes also high Andean landscapes with puna and paramo ecosystems. We chose this contour to allow better communication with the MapBiomas Amazonian Project (2022; https://amazonia.mapbiomas.org ). For specific interpretation of our results, we considered the contour of the current extension of the Amazon forest biome, which excludes surrounding tropical savanna biomes.

We used the Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) data (MOD44B version 6; https://lpdaac.usgs.gov/products/mod44bv006/ ) for the year 2001 at 250-m resolution 124 to reanalyse tree cover distributions within the Amazon basin, refining estimates of bistability ranges and critical thresholds in rainfall conditions from previous studies. Although MODIS VCF can contain errors within lower tree cover ranges and should not be used to test for bistability between grasslands and savannas 125 , the dataset is relatively robust for assessing bistability within the tree cover range of forests and savannas 126 , as also shown by low uncertainty (standard deviation of tree cover estimates) across the Amazon (Extended Data Fig. 8 ).

We used the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS; https://www.chc.ucsb.edu/data/chirps ) 127 to estimate mean annual rainfall and rainfall seasonality for the present across the Amazon basin, based on monthly means from 1981 to 2020, at a 0.05° spatial resolution.

We used the Climatic Research Unit (CRU; https://www.uea.ac.uk/groups-and-centres/climatic-research-unit ) 128 to estimate mean annual temperature for the present across the Amazon basin, based on monthly means from 1981 to 2020, at a 0.5° spatial resolution.

To mask deforested areas until 2020, we used information from the MapBiomas Amazonia Project (2022), collection 3, of Amazonian Annual Land Cover and Land Use Map Series ( https://amazonia.mapbiomas.org ).

To assess forest fire distribution across the Amazon forest biome and in relation to road networks, we used burnt area fire data obtained from the AQUA sensor onboard the MODIS satellite. Only active fires with a confidence level of 80% or higher were selected. The data are derived from MODIS MCD14ML (collection 6) 129 , available in Fire Information for Resource Management System (FIRMS). The data were adjusted to a spatial resolution of 1 km.

Potential analysis

Using potential analysis 130 , an empirical stability landscape was constructed based on spatial distributions of tree cover (excluding areas deforested until 2020; https://amazonia.mapbiomas.org ) against mean annual precipitation, MCWD and DSL. Here we followed the methodology of Hirota et al. 104 . For bins of each of the variables, the probability density of tree cover was determined using the MATLAB function ksdensity. Local maxima of the resulting probability density function are considered to be stable equilibria, in which local maxima below a threshold value of 0.005 were ignored. Based on sensitivity tests (see below), we chose the intermediate values of the sensitivity parameter for each analysis, which resulted in the critical thresholds most similar to the ones previously published in the literature.

Sensitivity tests of the potential analysis

We smoothed the densities of tree cover with the MATLAB kernel smoothing function ksdensity. Following Hirota et al. 104 , we used a flexible bandwidth ( h ) according to Silverman’s rule of thumb 131 : h  = 1.06 σn 1/5 , where σ is the standard deviation of the tree cover distribution and n is the number of points. To ignore small bumps in the frequency distributions, we used a dimensionless sensitivity parameter. This parameter filters out weak modes in the distributions such that a higher value implies a stricter criterion to detect a significant mode. In the manuscript, we used a value of 0.005. For different values of this sensitivity parameter, we here test the estimated critical thresholds and bistability ranges (Extended Data Table 2 ). We inferred stable and unstable states of tree cover (minima and maxima in the potentials) for moving windows of the climatic variables. For mean annual precipitation, we used increments of 10 mm yr −1 between 0 and 3500 mm yr −1 . For dry season length, we used increments of 0.1 months between 0 and 12 months. For MCWD, we used increments of 10 mm between −800 mm and 0 mm.

Transition potential

We quantified a relative ecosystem transition potential across the Amazon forest biome (excluding accumulated deforestation; https://amazonia.mapbiomas.org ) to produce a simple spatial measure that can be useful for governance. For this, we combined information per pixel, at 5 km resolution, about different disturbances related to climatic and human disturbances, as well as high-governance areas within protected areas and Indigenous territories. We used values of significant slopes of the dry season (July–October) mean temperature between 1981 and 2020 ( P  < 0.1), estimated using simple linear regressions (at 0.5° resolution from CRU) (Fig. 1a ). Ecosystem stability classes (stable forest, bistable and stable savanna as in Extended Data Fig. 1 ) were estimated using simple linear regression slopes of annual rainfall between 1981 and 2020 ( P  < 0.1) (at 0.05° resolution from CHIRPS), which we extrapolated to 2050 (Fig. 1b and Extended Data Fig. 3 ). Distribution of areas affected by repeated extreme drought events (Fig. 1c ) were defined when the time series (2001–2018) of the MCWD reached two standard deviation anomalies from historical mean. Extreme droughts were obtained from Lapola et al. 39 , based on Climatic Research Unit gridded Time Series (CRU TS 4.0) datasets for precipitation and evapotranspiration. The network of roads (paved and unpaved) across the Amazon forest biome (Fig. 1d ) was obtained from the Amazon Network of Georeferenced Socio-Environmental Information (RAISG; https://geo2.socioambiental.org/raisg ). Protected areas (PAs) and Indigenous territories (Fig. 1e ) were also obtained from RAISG, and include both sustainable-use and restricted-use protected areas managed by national or sub-national governments, together with officially recognized and proposed Indigenous territories. We combined these different disturbance layers by adding a value for each layer in the following way: (1) slopes of dry season temperature change (as in Fig. 1a , multiplied by 10, thus between −0.1 and +0.6); (2) ecosystem stability classes estimated for year 2050 (as in Fig. 1b ), with 0 for stable forest, +1 for bistable and +2 for stable savanna; (3) accumulated impacts from repeated extreme drought events (from 0 to 5 events), with +0.2 for each event; (4) road-related human impacts, with +1 for pixels within 10 km from a road; and (5) protected areas and Indigenous territories as areas with lower exposure to human (land use) disturbances, such as deforestation and forest fires, with −1 for pixels inside these areas. The sum of these layers revealed relative spatial variation in ecosystem transition potential by 2050 across the Amazon (Fig. 1f ), ranging from −1 (low potential) to 4 (very high potential).

Atmospheric moisture tracking

To determine the atmospheric moisture flows between the Amazonian countries, we use the Lagrangian atmospheric moisture tracking model UTrack 132 . The model tracks the atmospheric trajectories of parcels of moisture, updates their coordinates at each time step of 0.1 h and allocates moisture to a target location in case of precipitation. For each millimetre of evapotranspiration, 100 parcels are released into the atmosphere. Their trajectories are forced with evaporation, precipitation, and wind speed estimates from the ERA5 reanalysis product at 0.25° horizontal resolution for 25 atmospheric layers 133 . Here we use the runs from Tuinenburg et al. 134 , who published monthly climatological mean (2008–2017) moisture flows between each pair of 0.5° grid cells on Earth. We aggregated these monthly flows, resulting in mean annual moisture flows between all Amazonian countries during 2008–2017. For more details of the model runs, we refer to Tuinenburg and Staal 132 and Tuinenburg et al. 134 .

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

All data supporting the findings of this study are openly available and their sources are presented in the Methods.

Science Panel for the Amazon. Amazon Assessment Report 2021 (2021); www.theamazonwewant.org/amazon-assessment-report-2021/ .

IPCC. Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) https://www.ipcc.ch/report/ar6/wg1/#FullReport (Cambridge Univ. Press, 2021).

Armstrong McKay, D. et al. Exceeding 1.5 °C global warming could trigger multiple climate tipping points. Science 377 , abn7950 (2022).

Article   Google Scholar  

Staal, A. et al. Forest-rainfall cascades buffer against drought across the Amazon. Nat. Clim. Change 8 , 539–543 (2018).

Article   ADS   Google Scholar  

Cano, I. M. et al. Abrupt loss and uncertain recovery from fires of Amazon forests under low climate mitigation scenarios. Proc. Natl Acad. Sci. USA 119 , e2203200119 (2022).

Article   CAS   PubMed   PubMed Central   Google Scholar  

Parry, I. M., Ritchie, P. D. L. & Cox, P. M. Evidence of localised Amazon rainforest dieback in CMIP6 models. Earth Syst. Dynam. 13 , 1667–1675 (2022).

Bromham, L. et al. Global predictors of language endangerment and the future of linguistic diversity. Nat. Ecol. Evol. 6 , 163–173 (2022).

Article   PubMed   Google Scholar  

Gomes, V. H. F., Vieira, I. C. G., Salomão, R. P. & ter Steege, H. Amazonian tree species threatened by deforestation and climate change. Nat. Clim. Change 9 , 547–553 (2019).

Cámara-Leret, R., Fortuna, M. A. & Bascompte, J. Indigenous knowledge networks in the face of global change. Proc. Natl Acad. Sci. USA 116 , 9913–9918 (2019).

Article   ADS   PubMed   PubMed Central   Google Scholar  

Scheffer, M., Carpenter, S., Foley, J. A., Folke, C. & Walker, B. Catastrophic shifts in ecosystems. Nature 413 , 591–596 (2001).

Article   ADS   CAS   PubMed   Google Scholar  

Rockstrom, J. et al. A safe operating space for humanity. Nature 461 , 472–475 (2009).

Article   ADS   PubMed   Google Scholar  

Scheffer, M. et al. Creating a safe operating space for iconic ecosystems. Science 347 , 1317–1319 (2015).

van Nes, E. H. et al. What do you mean, ‘tipping point’? Trends Ecol. Evol. 31 , 902–904 (2016).

Lenton, T. M. et al. Tipping elements in the Earth’s climate system. Proc. Natl Acad. Sci. USA 105 , 1786–1793 (2008).

Article   ADS   CAS   PubMed   PubMed Central   Google Scholar  

Flores, B. M. & Staal, A. Feedback in tropical forests of the Anthropocene. Global Change Biol. 28 , 5041–5061 (2022).

Article   CAS   Google Scholar  

Scheffer, M. Critical Transitions in Nature and Society (Princeton Univ. Press, 2009).

Scheffer, M. et al. Anticipating critical transitions. Science 338 , 344–348 (2012).

Holling, C. S. Engineering Resilience versus Ecological Resilience (National Academy Press, 1996).

Hoorn, C. et al. Amazonia through time: Andean uplift, climate change, landscape evolution, and biodiversity. Science 330 , 927–931 (2010).

Wang, X. et al. Hydroclimate changes across the Amazon lowlands over the past 45,000 years. Nature 541 , 204–207 (2017).

Kukla, T. et al. The resilience of Amazon tree cover to past and present drying. Global Planet. Change 202 , 103520 (2021).

Clement, C. R. et al. Disentangling domestication from food production systems in the neotropics. Quaternary 4 , 4 (2021).

Mayle, F. E. & Power, M. J. Impact of a drier Early–Mid-Holocene climate upon Amazonian forests. Phil. Trans. R. Soc. B 363 , 1829–1838 (2008).

Article   PubMed   PubMed Central   Google Scholar  

Montoya, E. & Rull, V. Gran Sabana fires (SE Venezuela): a paleoecological perspective. Quat. Sci. Rev. 30 , 3430–3444 (2011).

Rull, V., Montoya, E., Vegas-Vilarrúbia, T. & Ballesteros, T. New insights on palaeofires and savannisation in northern South America. Quat. Sci. Rev. 122 , 158–165 (2015).

Rossetti, D. F. et al. Unfolding long-term Late Pleistocene-Holocene disturbances of forest communities in the southwestern Amazonian lowlands. Ecosphere 9 , e02457 (2018).

Prance, G. T. & Schubart, H. O. R. Notes on the vegetation of Amazonia I. A preliminary note on the origin of the open white sand campinas of the lower Rio Negro. Brittonia 30 , 60 (1978).

Wright, J. L. et al. Sixteen hundred years of increasing tree cover prior to modern deforestation in Southern Amazon and central Brazilian savannas. Glob. Change Biol. 27 , 136–150 (2021).

Article   ADS   CAS   Google Scholar  

van der Sleen, P. et al. No growth stimulation of tropical trees by 150 years of CO 2 fertilization but water-use efficiency increased. Nat. Geosci. 8 , 24–28 (2015).

Smith, M. N. et al. Empirical evidence for resilience of tropical forest photosynthesis in a warmer world. Nat. Plants 6 , 1225–1230 (2020).

Article   CAS   PubMed   Google Scholar  

Marengo, J. A., Jimenez, J. C., Espinoza, J.-C., Cunha, A. P. & Aragão, L. E. O. Increased climate pressure on the agricultural frontier in the Eastern Amazonia–Cerrado transition zone. Sci. Rep. 12 , 457 (2022).

Tavares, J. V. et al. Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests. Nature 617 , 111–117 (2023).

Boulton, C. A., Lenton, T. M. & Boers, N. Pronounced loss of Amazon rainforest resilience since the early 2000s. Nat. Clim. Change 12 , 271–278 (2022).

Doughty, C. E. et al. Tropical forests are approaching critical temperature thresholds. Nature 621 , 105–111 (2023).

Xu, C., Kohler, T. A., Lenton, T. M., Svenning, J.-C. & Scheffer, M. Future of the human climate niche. Proc. Natl Acad. Sci. USA 117 , 11350–11355 (2020).

Sullivan, M. J. P. et al. Long-term thermal sensitivity of Earth’s tropical forests. Science 368 , 869–874 (2020).

Zemp, D. C. et al. Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks. Nat. Commun. 8 , 14681 (2017).

Bullock, E. L., Woodcock, C. E., Souza, C. Jr & Olofsson, P. Satellite-based estimates reveal widespread forest degradation in the Amazon. Global Change Biol. 26 , 2956–2969 (2020).

Lapola, D. M. et al. The drivers and impacts of Amazon forest degradation. Science 379 , eabp8622 (2023).

Feng, Y., Negrón-Juárez, R. I., Romps, D. M. & Chambers, J. Q. Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Nat. Commun. 14 , 101 (2023).

Anderson, L. O. et al. Vulnerability of Amazonian forests to repeated droughts. Phil. Trans. R. Soc. B 373 , 20170411 (2018).

Staal, A. et al. Feedback between drought and deforestation in the Amazon. Environ. Res. Lett. 15 , 044024 (2020).

Alencar, A. A., Brando, P. M., Asner, G. P. & Putz, F. E. Landscape fragmentation, severe drought, and the new Amazon forest fire regime. Ecol. Appl. 25 , 1493–1505 (2015).

Aragão, L. E. O. C. et al. 21st century drought-related fires counteract the decline of Amazon deforestation carbon emissions. Nat. Commun. 9 , 536 (2018).

Silvério, D. V. et al. Intensification of fire regimes and forest loss in the Território Indígena do Xingu. Environ. Res. Lett. 17 , 045012 (2022).

Brienen, R. J. W. et al. Long-term decline of the Amazon carbon sink. Nature 519 , 344–348 (2015).

Esquivel‐Muelbert, A. et al. Compositional response of Amazon forests to climate change. Glob. Change Biol. 25 , 39–56 (2019).

Gatti, L. V. et al. Amazonia as a carbon source linked to deforestation and climate change. Nature 595 , 388–393 (2021).

Nepstad, D. et al. Inhibition of Amazon deforestation and fire by parks and Indigenous lands: inhibition of Amazon deforestation and fire. Conserv. Biol. 20 , 65–73 (2006).

Botelho, J., Costa, S. C. P., Ribeiro, J. G. & Souza, C. M. Mapping roads in the Brazilian Amazon with artificial intelligence and Sentinel-2. Remote Sensing 14 , 3625 (2022).

Matricardi, E. A. T. et al. Long-term forest degradation surpasses deforestation in the Brazilian Amazon. Science 369 , 1378–1382 (2020).

Ainsworth, E. A. & Long, S. P. What have we learned from 15 years of free‐air CO 2 enrichment (FACE)? A meta‐analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO 2 . New Phytol. 165 , 351–372 (2005).

Kooperman, G. J. et al. Forest response to rising CO 2 drives zonally asymmetric rainfall change over tropical land. Nat. Clim. Change 8 , 434–440 (2018).

Lapola, D. M., Oyama, M. D. & Nobre, C. A. Exploring the range of climate biome projections for tropical South America: the role of CO 2 fertilization and seasonality: future biome distribution in South America. Global Biogeochem. Cycles 23 , https://doi.org/10.1029/2008GB003357 (2009).

Brienen, R. J. W. et al. Forest carbon sink neutralized by pervasive growth-lifespan trade-offs. Nat. Commun. 11 , 4241 (2020).

Lammertsma, E. I. et al. Global CO 2 rise leads to reduced maximum stomatal conductance in Florida vegetation. Proc. Natl Acad. Sci. USA 108 , 4035–4040 (2011).

Terrer, C. et al. Nitrogen and phosphorus constrain the CO 2 fertilization of global plant biomass. Nat. Clim. Change 9 , 684–689 (2019).

Ellsworth, D. S. et al. Elevated CO 2 does not increase eucalypt forest productivity on a low-phosphorus soil. Nat. Clim. Change 7 , 279–282 (2017).

Quesada, C. A. et al. Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate. Biogeosciences 9 , 2203–2246 (2012).

Flores, B. M. et al. Soil erosion as a resilience drain in disturbed tropical forests. Plant Soil https://doi.org/10.1007/s11104-019-04097-8 (2020).

Longo, M. et al. Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts. New Phytol. 219 , 914–931 (2018).

Levine, N. M. et al. Ecosystem heterogeneity determines the ecological resilience of the Amazon to climate change. Proc. Natl Acad. Sci. USA 113 , 793–797 (2016).

Staver, A. C. et al. Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire. Ecol. Lett. 23 , 99–106 (2020).

Mattos, C. R. C. et al. Double stress of waterlogging and drought drives forest–savanna coexistence. Proc. Natl Acad. Sci. USA 120 , e2301255120 (2023).

Flores, B. M. et al. Floodplains as an Achilles’ heel of Amazonian forest resilience. Proc. Natl Acad. Sci. USA 114 , 4442–4446 (2017).

Marengo, J. A. & Espinoza, J. C. Extreme seasonal droughts and floods in Amazonia: causes, trends and impacts. Int. J. Climatol. 36 , 1033–1050 (2016).

Boers, N., Marwan, N., Barbosa, H. M. J. & Kurths, J. A deforestation-induced tipping point for the South American monsoon system. Sci. Rep. 7 , 41489 (2017).

Alexander, C. et al. Linking Indigenous and scientific knowledge of climate change. BioScience 61 , 477–484 (2011).

Ford, J. D. et al. The resilience of Indigenous peoples to environmental change. One Earth 2 , 532–543 (2020).

Cooper, G. S., Willcock, S. & Dearing, J. A. Regime shifts occur disproportionately faster in larger ecosystems. Nat. Commun. 11 , 1175 (2020).

Drijfhout, S. et al. Catalogue of abrupt shifts in Intergovernmental Panel on Climate Change climate models. Proc. Natl Acad. Sci. USA 112 , E5777–E5786 (2015).

Salazar, L. F. & Nobre, C. A. Climate change and thresholds of biome shifts in Amazonia: climate change and Amazon biome shift. Geophys. Res. Lett. 37 , https://doi.org/10.1029/2010GL043538 (2010).

Jones, C., Lowe, J., Liddicoat, S. & Betts, R. Committed terrestrial ecosystem changes due to climate change. Nat. Geosci. 2 , 484–487 (2009).

Schellnhuber, H. J., Rahmstorf, S. & Winkelmann, R. Why the right climate target was agreed in Paris. Nat. Clim. Change 6 , 649–653 (2016).

Chai, Y. et al. Constraining Amazonian land surface temperature sensitivity to precipitation and the probability of forest dieback. npj Clim. Atmos. Sci. 4 , 6 (2021).

Brando, P. M. et al. Abrupt increases in Amazonian tree mortality due to drought-fire interactions. Proc. Natl Acad. Sci. USA 111 , 6347–6352 (2014).

Berenguer, E. et al. Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests. Proc. Natl Acad. Sci. USA 118 , e2019377118 (2021).

Staal, A. et al. Hysteresis of tropical forests in the 21st century. Nat. Commun. 11 , 4978 (2020).

Staver, A. C., Archibald, S. & Levin, S. A. The global extent and determinants of savanna and forest as alternative biome states. Science 334 , 230–232 (2011).

Malhi, Y. et al. Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Proc. Natl Acad. Sci. USA 106 , 20610–20615 (2009).

Nobre, C. A. et al. Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm. Proc. Natl Acad. Sci. USA 113 , 10759–10768 (2016).

Burton, C. et al. South American fires and their impacts on ecosystems increase with continued emissions. Clim. Resil. Sustain. 1 , e8 (2022).

Google Scholar  

Smith, C. C. et al. Old-growth forest loss and secondary forest recovery across Amazonian countries. Environ. Res. Lett. 16 , 085009 (2021).

Brando, P. M. et al. Prolonged tropical forest degradation due to compounding disturbances: Implications for CO 2 and H 2 O fluxes. Glob. Change Biol. 25 , 2855–2868 (2019).

Mesquita, R. C. G., Ickes, K., Ganade, G. & Williamson, G. B. Alternative successional pathways in the Amazon Basin: successional pathways in the Amazon. J. Ecol. 89 , 528–537 (2001).

Jakovac, C. C., Peña-Claros, M., Kuyper, T. W. & Bongers, F. Loss of secondary-forest resilience by land-use intensification in the Amazon. J. Ecol. 103 , 67–77 (2015).

Barlow, J. & Peres, C. A. Fire-mediated dieback and compositional cascade in an Amazonian forest. Phil. Trans. R. Soc. B 363 , 1787–1794 (2008).

Jakovac, A. C. C., Bentos, T. V., Mesquita, R. C. G. & Williamson, G. B. Age and light effects on seedling growth in two alternative secondary successions in central Amazonia. Plant Ecol. Divers. 7 , 349–358 (2014).

Mazzochini, G. G. & Camargo, J. L. C. Understory plant interactions along a successional gradient in Central Amazon. Plant Soil https://doi.org/10.1007/s11104-019-04100-2 (2020).

Schnitzer, S. A. & Bongers, F. Increasing liana abundance and biomass in tropical forests: emerging patterns and putative mechanisms: Increasing lianas in tropical forests. Ecology Letters 14 , 397–406 (2011).

Tymen, B. et al. Evidence for arrested succession in a liana-infested Amazonian forest. J Ecol 104 , 149–159 (2016).

da Silva, S. S. et al. Increasing bamboo dominance in southwestern Amazon forests following intensification of drought-mediated fires. For. Ecol. Manag. 490 , 119139 (2021).

Carvalho, A. Lde et al. Bamboo-dominated forests of the southwest Amazon: detection, spatial extent, life cycle length and flowering waves. PLoS ONE 8 , e54852 (2013).

Adeney, J. M., Christensen, N. L., Vicentini, A. & Cohn‐Haft, M. White‐sand ecosystems in Amazonia. Biotropica 48 , 7–23 (2016).

Flores, B. M. & Holmgren, M. White-sand savannas expand at the core of the Amazon after forest wildfires. Ecosystems 24 , 1624–1637 (2021).

Veldman, J. W. & Putz, F. E. Grass-dominated vegetation, not species-diverse natural savanna, replaces degraded tropical forests on the southern edge of the Amazon Basin. Biol. Conserv. 144 , 1419–1429 (2011).

Silvério, D. V. et al. Testing the Amazon savannization hypothesis: fire effects on invasion of a neotropical forest by native cerrado and exotic pasture grasses. Phil. Trans. R. Soc. B 368 , 20120427 (2013).

Rull, V. A palynological record of a secondary succession after fire in the Gran Sabana, Venezuela. J. Quat. Sci. 14 , 137–152 (1999).

Sakschewski, B. et al. Resilience of Amazon forests emerges from plant trait diversity. Nat. Clim. Change 6 , 1032–1036 (2016).

Hall, A., Cox, P., Huntingford, C. & Klein, S. Progressing emergent constraints on future climate change. Nat. Clim. Change 9 , 269–278 (2019).

Willcock, S., Cooper, G. S., Addy, J. & Dearing, J. A. Earlier collapse of Anthropocene ecosystems driven by multiple faster and noisier drivers. Nat. Sustain 6 , 1331–1342 (2023).

Davidson, E. A. et al. The Amazon basin in transition. Nature 481 , 321–328 (2012).

Hecht, S. B. From eco-catastrophe to zero deforestation? Interdisciplinarities, politics, environmentalisms and reduced clearing in Amazonia. Envir. Conserv. 39 , 4–19 (2012).

Hirota, M., Holmgren, M., Van Nes, E. H. & Scheffer, M. Global resilience of tropical forest and savanna to critical transitions. Science 334 , 232–235 (2011).

Hawes, J. E. et al. A large‐scale assessment of plant dispersal mode and seed traits across human‐modified Amazonian forests. J. Ecol. 108 , 1373–1385 (2020).

Flores, B. M. & Holmgren, M. Why forest fails to recover after repeated wildfires in Amazonian floodplains? Experimental evidence on tree recruitment limitation. J. Ecol. 109 , 3473–3486 (2021).

ter Steege, H. et al. Biased-corrected richness estimates for the Amazonian tree flora. Sci. Rep. 10 , 10130 (2020).

Poorter, L. et al. Diversity enhances carbon storage in tropical forests: Carbon storage in tropical forests. Global Ecol. Biogeogr. 24 , 1314–1328 (2015).

Walker, B., Kinzig, A. & Langridge, J. Plant attribute diversity, resilience, and ecosystem function: the nature and significance of dominant and minor species. Ecosystems 2 , 95–113 (1999).

Elmqvist, T. et al. Response diversity, ecosystem change, and resilience. Front. Ecol. Environ. 1 , 488–494 (2003).

Esquivel-Muelbert, A. et al. Seasonal drought limits tree species across the Neotropics. Ecography 40 , 618–629 (2017).

Estes, J. A. et al. Trophic downgrading of planet Earth. Science 333 , 301–306 (2011).

Garnett, S. T. et al. A spatial overview of the global importance of Indigenous lands for conservation. Nat. Sustain. 1 , 369–374 (2018).

Morcote-Ríos, G., Aceituno, F. J., Iriarte, J., Robinson, M. & Chaparro-Cárdenas, J. L. Colonisation and early peopling of the Colombian Amazon during the Late Pleistocene and the Early Holocene: new evidence from La Serranía La Lindosa. Quat. Int. 578 , 5–19 (2021).

Levis, C. et al. How people domesticated Amazonian forests. Front. Ecol. Evol. 5 , 171 (2018).

Clement, C. R. et al. The domestication of Amazonia before European conquest. Proc. R. Soc. B. 282 , 20150813 (2015).

Levis, C. et al. Persistent effects of pre-Columbian plant domestication on Amazonian forest composition. Science 355 , 925–931 (2017).

Coelho, S. D. et al. Eighty-four per cent of all Amazonian arboreal plant individuals are useful to humans. PLoS ONE 16 , e0257875 (2021).

de Souza, J. G. et al. Climate change and cultural resilience in late pre-Columbian Amazonia. Nat. Ecol. Evol. 3 , 1007–1017 (2019).

Furquim, L. P. et al. Facing change through diversity: resilience and diversification of plant management strategies during the Mid to Late Holocene Transition at the Monte Castelo shellmound, SW Amazonia. Quaternary 4 , 8 (2021).

Schmidt, M. V. C. et al. Indigenous knowledge and forest succession management in the Brazilian Amazon: contributions to reforestation of degraded areas. Front. For. Glob. Change 4 , 605925 (2021).

Tomioka Nilsson, M. S. & Fearnside, P. M. Yanomami mobility and its effects on the forest landscape. Hum. Ecol. 39 , 235–256 (2011).

Cámara-Leret, R. & Bascompte, J. Language extinction triggers the loss of unique medicinal knowledge. Proc. Natl Acad. Sci. USA 118 , e2103683118 (2021).

DiMiceli, C. et al. MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250 m SIN Grid V006. https://doi.org/10.5067/MODIS/MOD44B.006 (2015).

Sexton, J. O. et al. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error. Int. J. Digital Earth 6 , 427–448 (2013).

Staver, A. C. & Hansen, M. C. Analysis of stable states in global savannas: is the CART pulling the horse? – a comment. Global Ecol. Biogeogr. 24 , 985–987 (2015).

Funk, C. et al. The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Sci Data 2 , 150066 (2015).

Mitchell, T. D. & Jones, P. D. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25 , 693–712 (2005).

Giglio, L., Schroeder, W. & Justice, C. O. The collection 6 MODIS active fire detection algorithm and fire products. Remote Sens. Environ. 178 , 31–41 (2016).

Livina, V. N., Kwasniok, F. & Lenton, T. M. Potential analysis reveals changing number of climate states during the last 60 kyr. Clim. Past 6 , 77–82 (2010).

Silverman, B. W. Density Estimation for Statistics and Data Analysis (Chapman & Hall/CRC Taylor & Francis Group, 1998).

Tuinenburg, O. A. & Staal, A. Tracking the global flows of atmospheric moisture and associated uncertainties. Hydrol. Earth Syst. Sci. 24 , 2419–2435 (2020).

Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146 , 1999–2049 (2020).

Tuinenburg, O. A., Theeuwen, J. J. E. & Staal, A. High-resolution global atmospheric moisture connections from evaporation to precipitation. Earth Syst. Sci. Data 12 , 3177–3188 (2020).

Oliveira, R. S. et al. Embolism resistance drives the distribution of Amazonian rainforest tree species along hydro‐topographic gradients. New Phytol. 221 , 1457–1465 (2019).

Mattos, C. R. C. et al. Rainfall and topographic position determine tree embolism resistance in Amazônia and Cerrado sites. Environ. Res. Lett. 18 , 114009 (2023).

NASA JPL. NASA Shuttle Radar Topography Mission Global 1 arc second. https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003 (2013).

Hess, L. L. et al. Wetlands of the Lowland Amazon Basin: Extent, Vegetative Cover, and Dual-season Inundated Area as Mapped with JERS-1 Synthetic Aperture Radar. Wetlands 35 , 745–756 (2015).

Eberhard, D. M., Simons, G. F. & Fennig, C. D. Ethnologue: Languages of the World . (SIL International, 2021).

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Acknowledgements

This work was inspired by the Science Panel for the Amazon (SPA) initiative ( https://www.theamazonwewant.org/ ) that produced the first Amazon Assessment Report (2021). The authors thank C. Smith for providing deforestation rates data used in Extended Data Fig. 5b . B.M.F. and M.H. were supported by Instituto Serrapilheira (Serra-1709-18983) and C.J. (R-2111-40341). A.S. acknowledges funding from the Dutch Research Council (NWO) under the Talent Program Grant VI.Veni.202.170. R.A.B. and D.M.L. were supported by the AmazonFACE programme funded by the UK Foreign, Commonwealth and Development Office (FCDO) and Brazilian Ministry of Science, Technology and Innovation (MCTI). R.A.B. was additionally supported by the Met Office Climate Science for Service Partnership (CSSP) Brazil project funded by the UK Department for Science, Innovation and Technology (DSIT), and D.M.L. was additionally supported by FAPESP (grant no. 2020/08940-6) and CNPq (grant no. 309074/2021-5). C.L. thanks CNPq (proc. 159440/2018-1 and 400369/2021-4) and Brazil LAB (Princeton University) for postdoctoral fellowships. A.E.-M. is supported by the UKRI TreeScapes MEMBRA (NE/V021346/1), the Royal Society (RGS\R1\221115), the ERC TreeMort project (758873) and the CESAB Syntreesys project. R.S.O. received a CNPq productivity scholarship and funding from NERC-FAPESP 2019/07773-1. S.B.H. is supported by the Geneva Graduate Institute research funds, and UCLA’s committee on research. J.A.M. is supported by the National Institute of Science and Technology for Climate Change Phase 2 under CNPq grant 465501/2014-1; FAPESP grants 2014/50848-9, the National Coordination for Higher Education and Training (CAPES) grant 88887.136402-00INCT. L.S.B. received FAPESP grant 2013/50531-0. D.N. and N.B. acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 820970. N.B. has received further funding from the Volkswagen foundation, the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 956170, as well as from the German Federal Ministry of Education and Research under grant no. 01LS2001A.

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Graduate Program in Ecology, Federal University of Santa Catarina, Florianopolis, Brazil

Bernardo M. Flores, Carolina Levis & Marina Hirota

Geosciences Barcelona, Spanish National Research Council, Barcelona, Spain

Encarni Montoya

Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany

Boris Sakschewski, Da Nian & Niklas Boers

Institute of Advanced Studies, University of São Paulo, São Paulo, Brazil

Nathália Nascimento & Carlos A. Nobre

Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands

Met Office Hadley Centre, Exeter, UK

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David M. Lapola

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Adriane Esquível-Muelbert

Birmingham Institute of Forest Research, University of Birmingham, Birmingham, UK

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Catarina Jakovac

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Contributions

B.M.F. and M.H. conceived the study. B.M.F. reviewed the literature, with inputs from all authors. B.M.F., M.H., N.N., A.S., C.L., D.N, H.t.S. and C.R.C.M. assembled datasets. M.H. analysed temperature and rainfall trends. B.M.F. and N.N. produced the maps in main figures and calculated transition potential. A.S. performed potential analysis and atmospheric moisture tracking. B.M.F. produced the figures and wrote the manuscript, with substantial inputs from all authors. B.S. wrote the first version of the ‘Prospects for modelling Amazon forest dynamics’ section, with inputs from B.M.F and M.H.

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Correspondence to Bernardo M. Flores or Marina Hirota .

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Extended data figures and tables

Extended data fig. 1 alternative stable states in amazonian tree cover relative to rainfall conditions..

Potential analysis of tree cover distributions across rainfall gradients in the Amazon basin suggest the existence of critical thresholds and alternative stable states in the system. For this, we excluded accumulated deforestation until 2020 and included large areas of tropical savanna biome in the periphery of the Amazon basin (see  Methods ). Solid black lines indicate two stable equilibria. Small grey arrows indicate the direction towards equilibrium. (a) The overlap between ~ 1,000 and 1,800 mm of annual rainfall suggests that two alternative stable states may exist (bistability): a high tree cover state ~ 80 % (forests), and a low tree cover state ~ 20% (savannas). Tree cover around 50 % is rare, indicating an unstable state. Below 1,000 mm of annual rainfall, forests are rare, indicating a potential critical threshold for abrupt forest transition into a low tree cover state 79 , 104 (arrow 1). Between 1,000 and 1,800 mm of annual rainfall, the existence of alternative stable states implies that forests can shift to a low tree cover stable state in response to disturbances (arrow 2). Above 1,800 mm of annual rainfall, low tree cover becomes rare, indicating a potential critical threshold for an abrupt transition into a high tree cover state. In this stable forest state, forests are expected to always recover after disturbances (arrow 3), although composition may change 47 , 85 . (b) Currently, the stable savanna state covers 1 % of the Amazon forest biome, bistable areas cover 13 % of the biome (less than previous analysis using broader geographical ranges 78 ) and the stable forest state covers 86 % of the biome. Similar analyses using the maximum cumulative water deficit (c) and the dry season length (d) also suggest the existence of critical thresholds and alternative stable states. When combined, these critical thresholds in rainfall conditions could result in a tipping point of the Amazon forest in terms of water stress, but other factors may play a role, such as groundwater availability 64 . MODIS VCF may contain some level of uncertainty for low tree cover values, as shown by the standard deviation of tree cover estimates across the Amazon (Extended Data Fig. 8 ). However, the dataset is relatively robust for assessing bistability within the tree cover range between forest and savanna 126 .

Extended Data Fig. 2 Changes in dry-season temperatures across the Amazon basin.

(a) Dry season temperature averaged from mean annual data observed between 1981 and 2010. (b) Changes in dry season mean temperature based on the difference between the projected future (2021−2050) and observed historical (1981−2010) climatologies. Future climatology was obtained from the estimated slopes using historical CRU data 128 (shown in Fig. 1a ). (c, d) Changes in the distributions of dry season mean and maximum temperatures for the Amazon basin. (e) Correlation between dry-season mean and maximum temperatures observed (1981–2010) across the Amazon basin ( r  = 0.95).

Extended Data Fig. 3 Changes in annual precipitation and ecosystem stability across the Amazon forest biome.

(a) Slopes of annual rainfall change between 1981 and 2020 estimated using simple regressions (only areas with significant slopes, p  < 0.1). (b) Changes in ecosystem stability classes projected for year 2050, based on significant slopes in (a) and critical thresholds in annual rainfall conditions estimated in Extended Data Fig. 1 . Data obtained from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), at 0.05° spatial resolution 127 .

Extended Data Fig. 4 Changes in ecosystem stability by 2050 across the Amazon based on annual rainfall projected by CMIP6 models.

(a) Changes in stability classes estimated using an ensemble with the five CMIP6 models that include vegetation modules (coupled for climate-vegetation feedbacks) for two emission scenarios (Shared Socio-economic Pathways - SSPs). (b) Changes in stability classes estimated using an ensemble with all 33 CMIP6 models for the same emission scenarios. Stability changes may occur between stable forest (F), stable savanna (S) and bistable (B) classes, based on the bistability range of 1,000 – 1,800 mm in annual rainfall, estimated from current rainfall conditions (see Extended Data Fig. 1 ). Projections are based on climate models from the 6 th Phase of the Coupled Model Intercomparison Project (CMIP6). SSP2-4.5 is a low-emission scenario of future global warming and SSP5-8.5 is a high-emission scenario. The five coupled models analysed separately in (a) were: EC-Earth3-Veg, GFDL-ESM4, MPI-ESM1-2-LR, TaiESM1 and UKESM1-0-LL (Supplementary Information Table 1 ).

Extended Data Fig. 5 Deforestation continues to expand within the Amazon forest system.

(a) Map highlighting deforestation and fire activity between 2012 and 2021, a period when environmental governance began to weaken again, as indicated by increasing rates of annual deforestation in (b). In (b), annual deforestation rates for the entire Amazon biome were adapted with permission from Smith et al. 83 .

Extended Data Fig. 6 Environmental heterogeneity in the Amazon forest system.

Heterogeneity involves myriad factors, but two in particular, related to water availability, were shown to contribute to landscape-scale heterogeneity in forest resilience; topography shapes fine-scale variations of forest drought-tolerance 135 , 136 , and floodplains may reduce forest resilience by increasing vulnerability to wildfires 65 . Datasets: topography is shown by the Shuttle Radar Topography Mission (SRTM; https://earthexplorer.usgs.gov/ ) 137 at 90 m resolution; floodplains and uplands are separated with the Amazon wetlands mask 138 at 90 m resolution.

Extended Data Fig. 7 The Amazon is biologically and culturally diverse.

(a) Tree species richness and (b) language richness illustrate how biological and cultural diversity varies across the Amazon. Diverse tree communities and human cultures contribute to increasing forest resilience in various ways that are being undermined by land-use and climatic changes. Datasets: (a) Amazon Tree Diversity Network (ATDN, https://atdn.myspecies.info ). (b) World Language Mapping System (WLMS) obtained under license from Ethnologue 139 .

Extended Data Fig. 8 Uncertainty of the MODIS VCF dataset across the Amazon basin.

Map shows standard deviation (SD) of tree cover estimates from MODIS VCF 124 . We masked deforested areas until 2020 using the MapBiomas Amazonia Project (2022; https://amazonia.mapbiomas.org ).

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OpenAI teases an amazing new generative video model called Sora

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OpenAI has built a striking new generative video model called Sora that can take a short text description and turn it into a detailed, high-definition film clip up to a minute long.

Based on four sample videos that OpenAI shared with MIT Technology Review ahead of today’s announcement, the San Francisco–based firm has pushed the envelope of what’s possible with text-to-video generation (a hot new research direction that we flagged as a trend to watch in 2024 ).

“We think building models that can understand video, and understand all these very complex interactions of our world, is an important step for all future AI systems,” says Tim Brooks, a scientist at OpenAI.

But there’s a disclaimer. OpenAI gave us a preview of Sora (which means sky in Japanese) under conditions of strict secrecy. In an unusual move, the firm would only share information about Sora if we agreed to wait until after news of the model was made public to seek the opinions of outside experts. [Editor’s note: We’ve updated this story with outside comment below.] OpenAI has not yet released a technical report or demonstrated the model actually working. And it says it won’t be releasing Sora anytime soon. [ Update: OpenAI has now shared more technical details on its website.]

The first generative models that could produce video from snippets of text appeared in late 2022. But early examples from Meta , Google, and a startup called Runway were glitchy and grainy. Since then, the tech has been getting better fast. Runway’s gen-2 model, released last year, can produce short clips that come close to matching big-studio animation in their quality. But most of these examples are still only a few seconds long.  

The sample videos from OpenAI’s Sora are high-definition and full of detail. OpenAI also says it can generate videos up to a minute long. One video of a Tokyo street scene shows that Sora has learned how objects fit together in 3D: the camera swoops into the scene to follow a couple as they walk past a row of shops.

OpenAI also claims that Sora handles occlusion well. One problem with existing models is that they can fail to keep track of objects when they drop out of view. For example, if a truck passes in front of a street sign, the sign might not reappear afterward.  

In a video of a papercraft underwater scene, Sora has added what look like cuts between different pieces of footage, and the model has maintained a consistent style between them.

It’s not perfect. In the Tokyo video, cars to the left look smaller than the people walking beside them. They also pop in and out between the tree branches. “There’s definitely some work to be done in terms of long-term coherence,” says Brooks. “For example, if someone goes out of view for a long time, they won’t come back. The model kind of forgets that they were supposed to be there.”

Impressive as they are, the sample videos shown here were no doubt cherry-picked to show Sora at its best. Without more information, it is hard to know how representative they are of the model’s typical output.   

It may be some time before we find out. OpenAI’s announcement of Sora today is a tech tease, and the company says it has no current plans to release it to the public. Instead, OpenAI will today begin sharing the model with third-party safety testers for the first time.

In particular, the firm is worried about the potential misuses of fake but photorealistic video . “We’re being careful about deployment here and making sure we have all our bases covered before we put this in the hands of the general public,” says Aditya Ramesh, a scientist at OpenAI, who created the firm’s text-to-image model DALL-E .

But OpenAI is eyeing a product launch sometime in the future. As well as safety testers, the company is also sharing the model with a select group of video makers and artists to get feedback on how to make Sora as useful as possible to creative professionals. “The other goal is to show everyone what is on the horizon, to give a preview of what these models will be capable of,” says Ramesh.

To build Sora, the team adapted the tech behind DALL-E 3, the latest version of OpenAI’s flagship text-to-image model. Like most text-to-image models, DALL-E 3 uses what’s known as a diffusion model. These are trained to turn a fuzz of random pixels into a picture.

Sora takes this approach and applies it to videos rather than still images. But the researchers also added another technique to the mix. Unlike DALL-E or most other generative video models, Sora combines its diffusion model with a type of neural network called a transformer.

Transformers are great at processing long sequences of data, like words. That has made them the special sauce inside large language models like OpenAI’s GPT-4 and Google DeepMind’s Gemini . But videos are not made of words. Instead, the researchers had to find a way to cut videos into chunks that could be treated as if they were. The approach they came up with was to dice videos up across both space and time. “It’s like if you were to have a stack of all the video frames and you cut little cubes from it,” says Brooks.

The transformer inside Sora can then process these chunks of video data in much the same way that the transformer inside a large language model processes words in a block of text. The researchers say that this let them train Sora on many more types of video than other text-to-video models, varied in terms of resolution, duration, aspect ratio, and orientation. “It really helps the model,” says Brooks. “That is something that we’re not aware of any existing work on.”

“From a technical perspective it seems like a very significant leap forward,” says Sam Gregory, executive director at Witness, a human rights organization that specializes in the use and misuse of video technology. “But there are two sides to the coin,” he says. “The expressive capabilities offer the potential for many more people to be storytellers using video. And there are also real potential avenues for misuse.” 

OpenAI is well aware of the risks that come with a generative video model. We are already seeing the large-scale misuse of deepfake images . Photorealistic video takes this to another level.

Gregory notes that you could use technology like this to misinform people about conflict zones or protests. The range of styles is also interesting, he says. If you could generate shaky footage that looked like something shot with a phone, it would come across as more authentic.

The tech is not there yet, but generative video has gone from zero to Sora in just 18 months. “We’re going to be entering a universe where there will be fully synthetic content, human-generated content and a mix of the two,” says Gregory.

The OpenAI team plans to draw on the safety testing it did last year for DALL-E 3. Sora already includes a filter that runs on all prompts sent to the model that will block requests for violent, sexual, or hateful images, as well as images of known people. Another filter will look at frames of generated videos and block material that violates OpenAI’s safety policies.

OpenAI says it is also adapting a fake-image detector developed for DALL-E 3 to use with Sora. And the company will embed industry-standard C2PA tags , metadata that states how an image was generated, into all of Sora’s output. But these steps are far from foolproof. Fake-image detectors are hit-or-miss. Metadata is easy to remove, and most social media sites strip it from uploaded images by default.  

“We’ll definitely need to get more feedback and learn more about the types of risks that need to be addressed with video before it would make sense for us to release this,” says Ramesh.

Brooks agrees. “Part of the reason that we’re talking about this research now is so that we can start getting the input that we need to do the work necessary to figure out how it could be safely deployed,” he says.

Update 2/15: Comments from Sam Gregory were added .

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  24. Video generation models as world simulators

    We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video.

  25. How to Create a Structured Research Paper Outline

    Example: Measles and the vaccination debate INTRODUCTION Definition of measles Rise in cases in recent years in places the disease was previously eliminated or had very low rates of infection Figures: Number of cases per year on average, number in recent years. Relate to immunization DANGERS OF MEASLES Symptoms and timeframes of disease

  26. Critical transitions in the Amazon forest system

    N.B. has received further funding from the Volkswagen foundation, the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 956170 ...

  27. OpenAI teases an amazing new generative video model called Sora

    OpenAI has built a striking new generative video model called Sora that can take a short text description and turn it into a detailed, high-definition film clip up to a minute long.. Based on four ...

  28. 10 Research Question Examples to Guide your Research Project

    10 Research Question Examples to Guide your Research Project Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023. The research question is one of the most important parts of your research paper, thesis or dissertation. It's important to spend some time assessing and refining your question before you get started.