PCI Ecology

Title

Data-based, synthesis-driven: setting the agenda for computational ecologyuse asterix (*) to get italics

Authors

Timothée Poisot, Richard Labrie, Erin Larson, Anastasia RahlinPlease 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"

Year

2018

Picture

Abstract

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.

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Keywords

Methods that require specific expertise (optional)

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Thematic fields

Meta-analyses, Statistical ecology, Theoretical ecology

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Submission date

2018-02-05 20:51:41

Recommender

Phillip P.A. Staniczenko

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