Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim, Claudia Battistin, Nicola Bulso, Hannah Christensen, Benjamin Cretois, Ryan Cubero, Iván A. Davidovich, Lisa Dickel, Benjamin Dunn, Etienne Dunn-Sigouin, Karin Dyrstad, Sigurd Einum, Donata Giglio, Haakon Gjerløw, Amélie Godefroidt, Ricardo González-Gil, Soledad Gonzalo CognoFabian Große, Paul Halloran, Mari F. Jensen, John James Kennedy, Peter Egge Langsæther, Jack Laverick, Debora Lederberger, Camille Li, Caitlin Mandeville, Elizabeth Mandeville, Espen Moe, Tobias Navarro Schröder, David Nunan, Jorge Sicacha Parada, Melanie Rae Simpson, Emma Sofie Skarstein, Clemens Spensberger, Richard Stevens, Aneesh Subramanian, Lea Svendsen, Ole Magnus Theisen, Connor Watret, Robert B. O’Hara

Mathematics And Statistics

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2024
Recommendations for quantitative uncertainty consideration in ecology and evolution
Simmonds, E. G., Adjei, K. P., Cretois, B., Dickel, L., González-Gil, R., Laverick, J. H., Mandeville, C. P., Mandeville, E. G., Ovaskainen, O., Sicacha-Parada, J., Skarstein, E. S. & O’Hara, B., 1 Apr 2024, In: Trends in Ecology and Evolution. 39, 4, p. 328-337 10 p.
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5 Citations (Scopus)

23 Downloads (Pure)

Insights into the quantification and reporting of model-related uncertainty across different disciplines

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Recommendations for quantitative uncertainty consideration in ecology and evolution