10 simple rules for designing and analyzing field experiments in ecology
Department of Biology, York University, Toronto, Canada
- Published
- Accepted
- Subject Areas
- Biodiversity, Ecology, Environmental Sciences, Marine Biology, Plant Science
- Keywords
- Lortie, experimental design, OUFB, best practices, environmental science, ecology, general science, UCNRS, Kenneth S. Norris Rancho Marino Reserve, York University
- Copyright
- © 2016 Nazal
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. 10 simple rules for designing and analyzing field experiments in ecology. PeerJ Preprints 4:e2441v1 https://doi.org/10.7287/peerj.preprints.2441v1
Abstract
A set of 10 fundamental rules to successfully design, execute, and analyze biological field experiments. This list tackles the main components of an experiment beginning with the hypothesis and predictions, to the design and execution, as well as statistical analysis and interpretation of data in order for researchers to create the best experimental design for their project. Although this paper is aimed at field experiments in ecology, many of the rules are applicable to other streams of biology.
Author Comment
This is a preprint submission to PeerJ Preprints.