PCI and journals
Peer Community Journal
Thanks to Reviewers
Code of Conduct
Contact & Credits
How does it work?
Guide for Authors
Guide for Reviewers
Guide for Recommenders
Become a Recommender
How should you cite an article?
Submit a preprint
Data-based, synthesis-driven: setting the agenda for computational ecology
use asterix (*) to get italics
Timothée Poisot, Richard Labrie, Erin Larson, Anastasia Rahlin
Please use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
Computational ecology, defined as the application of computational thinking to ecological problems, has the potential to transform the way ecologists think about the integration of data and models. As the practice is gaining prominence as a way to conduct ecological research, it is important to reflect on what its agenda could be, and how it fits within the broader landscape. In this contribution, we suggest areas in which empirical ecologists, modelers, and the emerging community of computational ecologists could engage in a constructive dialogue to build on one another expertise. We discuss how training can be amended to improve the computational literacy of ecologists.
Indicate the full web address (DOI or URL) giving public access to these data (if you have any problems with the deposit of your data, please contact
You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
Indicate the full web address (DOI or URL) giving public access to these scripts (if you have any problems with the deposit of your scripts, please contact
You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
Indicate the full web address (DOI, SWHID or URL) giving public access to these codes (if you have any problems with the deposit of your codes, please contact
You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
Meta-analyses, Statistical ecology, Theoretical ecology
Suggested reviewers - Suggest up to 10 reviewers (provide names and Email addresses). (Optional)
No need for them to be recommenders of PCIEcology. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review -
see the code of conduct
Opposed reviewers - Suggest up to 5 people not to invite as reviewers. (Optional)
e.g. John Doe [firstname.lastname@example.org]
Phillip P.A. Staniczenko
Submit a preprint