Metaresearch for evaluating reproducibility in ecology and evolution
File(s)
Author(s)
Type
Journal Article
Abstract
Recent replication projects in other disciplines have uncovered disturbingly low levels of reproducibility, suggesting that those research literatures may contain unverifiable claims. The conditions contributing to irreproducibility in other disciplines are also present in ecology. These include a large discrepancy between the proportion of “positive” or “significant” results and the average statistical power of empirical research, incomplete reporting of sampling stopping rules and results, journal policies that discourage replication studies, and a prevailing publish-or-perish research culture that encourages questionable research practices. We argue that these conditions constitute sufficient reason to systematically evaluate the reproducibility of the evidence base in ecology and evolution. In some cases, the direct replication of ecological research is difficult because of strong temporal and spatial dependencies, so here, we propose metaresearch projects that will provide proxy measures of reproducibility.
Date Issued
2019-03-01
Date Acceptance
2017-01-01
Citation
Bioscience, 2019, 67 (3), pp.282-289
ISSN
0006-3568
Publisher
Oxford University Press (OUP)
Start Page
282
End Page
289
Journal / Book Title
Bioscience
Volume
67
Issue
3
Copyright Statement
© The Author(s) 2017. Published by Oxford University Press on behalf of the American Institute of Biological Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000397164000011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Biology
Life Sciences & Biomedicine - Other Topics
metaresearch
reproducibility
publication bias
transparency
open science
STATISTICAL POWER
PROMOTING TRANSPARENCY
PUBLICATION BIAS
ANIMAL-BEHAVIOR
SCIENCE
REPLICATION
BIOLOGY
Publication Status
Published
Date Publish Online
2017-01-13