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Extreme uncertainty and unquantifiable bias do not inform population sizes

Orin J. Robinson, Jacob B. Socolar, Erica F. Stuber, Tom Auer, Alex J. Berryman, Philipp H. Boersch‐Supan, Donald J. Brightsmith, Allan H. Burbidge, Stuart H. M. Butchart, Courtney L. Davis, Adriaan M. Dokter, Adrián S. Di Giacomo, Andrew Farnsworth, Daniel Fink, Wesley M. Hochachka, Paige E. Howell, Frank A. La Sorte, Alexander Charles Lees, Stuart J. Marsden, Robert W. Martin, Rowan O. Martin, Juan F. Masello, Eliot T. Miller, Yoshan Moodley, Andy J. Musgrove, David G. Noble, Valeria Ojeda, Petra Quillfeldt, J. Andrew Royle, Viviana Ruiz‐Gutiérrez, José L. Tella, Pablo Yorio, Casey Youngflesh, Alison Johnston

2022Proceedings of the National Academy of Sciences24 citationsDOIOpen Access PDF

Abstract

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.

Topics & Concepts

PopulationEconometricsStatisticsData sciencePsychologyComputer scienceEconomicsMathematicsMedicineEnvironmental healthSpecies Distribution and Climate ChangeWildlife Ecology and ConservationAnimal Ecology and Behavior Studies
Extreme uncertainty and unquantifiable bias do not inform population sizes | Litcius