生态和进化研究的大规模硅学复制

IF 13.9 1区 生物学 Q1 ECOLOGY
Yefeng Yang, Erik van Zwet, Nikolaos Ignatiadis, Shinichi Nakagawa
{"title":"生态和进化研究的大规模硅学复制","authors":"Yefeng Yang, Erik van Zwet, Nikolaos Ignatiadis, Shinichi Nakagawa","doi":"10.1038/s41559-024-02530-5","DOIUrl":null,"url":null,"abstract":"Despite the growing concerns about the replicability of ecological and evolutionary studies, no results exist from a field-wide replication project. We conduct a large-scale in silico replication project, leveraging cutting-edge statistical methodologies. Replicability is 30%–40% for studies with marginal statistical significance in the absence of selective reporting, whereas the replicability of studies presenting ‘strong’ evidence against the null hypothesis H0 is >70%. The former requires a sevenfold larger sample size to reach the latter’s replicability. We call for a change in planning, conducting and publishing research towards a transparent, credible and replicable ecology and evolution. Large-scale, direct replications of ecological and evolutionary studies are difficult to conduct. This paper applies statistical methods to meta-analyses of ecological and evolutionary studies to estimate replicability.","PeriodicalId":18835,"journal":{"name":"Nature ecology & evolution","volume":"8 12","pages":"2179-2183"},"PeriodicalIF":13.9000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41559-024-02530-5.pdf","citationCount":"0","resultStr":"{\"title\":\"A large-scale in silico replication of ecological and evolutionary studies\",\"authors\":\"Yefeng Yang, Erik van Zwet, Nikolaos Ignatiadis, Shinichi Nakagawa\",\"doi\":\"10.1038/s41559-024-02530-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite the growing concerns about the replicability of ecological and evolutionary studies, no results exist from a field-wide replication project. We conduct a large-scale in silico replication project, leveraging cutting-edge statistical methodologies. Replicability is 30%–40% for studies with marginal statistical significance in the absence of selective reporting, whereas the replicability of studies presenting ‘strong’ evidence against the null hypothesis H0 is >70%. The former requires a sevenfold larger sample size to reach the latter’s replicability. We call for a change in planning, conducting and publishing research towards a transparent, credible and replicable ecology and evolution. Large-scale, direct replications of ecological and evolutionary studies are difficult to conduct. This paper applies statistical methods to meta-analyses of ecological and evolutionary studies to estimate replicability.\",\"PeriodicalId\":18835,\"journal\":{\"name\":\"Nature ecology & evolution\",\"volume\":\"8 12\",\"pages\":\"2179-2183\"},\"PeriodicalIF\":13.9000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.com/articles/s41559-024-02530-5.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature ecology & evolution\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s41559-024-02530-5\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature ecology & evolution","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41559-024-02530-5","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

尽管人们越来越关注生态和进化研究的可复制性,但目前还没有一个全领域复制项目的结果。我们利用最先进的统计方法,开展了大规模的硅学复制项目。在没有选择性报告的情况下,具有边际统计意义的研究的可复制性为 30%-40%,而针对零假设 H0 提出 "强有力 "证据的研究的可复制性为 70%。前者需要大七倍的样本量才能达到后者的可复制性。我们呼吁改变研究的规划、开展和出版方式,建立透明、可信和可复制的生态学与进化论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A large-scale in silico replication of ecological and evolutionary studies

A large-scale in silico replication of ecological and evolutionary studies

A large-scale in silico replication of ecological and evolutionary studies
Despite the growing concerns about the replicability of ecological and evolutionary studies, no results exist from a field-wide replication project. We conduct a large-scale in silico replication project, leveraging cutting-edge statistical methodologies. Replicability is 30%–40% for studies with marginal statistical significance in the absence of selective reporting, whereas the replicability of studies presenting ‘strong’ evidence against the null hypothesis H0 is >70%. The former requires a sevenfold larger sample size to reach the latter’s replicability. We call for a change in planning, conducting and publishing research towards a transparent, credible and replicable ecology and evolution. Large-scale, direct replications of ecological and evolutionary studies are difficult to conduct. This paper applies statistical methods to meta-analyses of ecological and evolutionary studies to estimate replicability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nature ecology & evolution
Nature ecology & evolution Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
22.20
自引率
2.40%
发文量
282
期刊介绍: Nature Ecology & Evolution is interested in the full spectrum of ecological and evolutionary biology, encompassing approaches at the molecular, organismal, population, community and ecosystem levels, as well as relevant parts of the social sciences. Nature Ecology & Evolution provides a place where all researchers and policymakers interested in all aspects of life's diversity can come together to learn about the most accomplished and significant advances in the field and to discuss topical issues. An online-only monthly journal, our broad scope ensures that the research published reaches the widest possible audience of scientists.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信