Metaresearch for Evaluating Reproducibility in Ecology and Evolution.

Bioscience

Associate Professor Fiona Fidler holds a joint appointment in the School of BioSciences and the School of Historical and Philosophical Studies (History and Philosophy of Science Discipline) at the University of Melbourne, Australia; Fiona is interested in how scientists and experts make decisions. Bonnie C. Wintle is a postdoctoral fellow and Mark Burgman and Michael McCarthy are professors in the School of BioSciences at the University of Melbourne, Australia; they are interested in a broad range of topics related to environmental decisionmaking. Bonnie Wintle is now a research fellow at the Centre for Research in the Arts, Social Sciences and Humanities, University of Cambridge. Yung En Chee is a senior research fellow in the School of Ecosystem and Forest Sciences at the University of Melbourne, Australia; Yung applies ecological and decision-analytic theory and models to conservation problems. Ascelin Gordon is a senior research fellow in the Interdisciplinary Conservation Science Research Group in the School of Global, Urban, and Social Studies at RMIT University, in Melbourne, Australia; Ascelin is broadly interested in modeling approaches for understanding the impacts of environmental policies. FF, YC, BW, MB and MM were involved in discussion group about reproducibility and type 1 errors in ecology in 2014, which helped develop the outline for this article. AG and FF independently discussed the application of open science initiatives in ecology. FF wrote the first draft; YC wrote sections on data and code sharing with substantial input from AG. BW, MB, and MM made edits throughout.

Published: March 2017

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384162PMC
http://dx.doi.org/10.1093/biosci/biw159DOI Listing

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