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Metadados | Descrição | Idioma |
---|---|---|
Autor(es): dc.contributor | Mississippi State University | - |
Autor(es): dc.contributor | Uiversity of Sheffield | - |
Autor(es): dc.contributor | Swansea University | - |
Autor(es): dc.contributor | University of Georgia | - |
Autor(es): dc.contributor | University of Guelph | - |
Autor(es): dc.contributor | University of Saskatchewan | - |
Autor(es): dc.contributor | University of Wyoming | - |
Autor(es): dc.contributor | Memorial University of Newfoundland | - |
Autor(es): dc.contributor | Universidade Estadual Paulista (UNESP) | - |
Autor(es): dc.contributor | Ontario Ministry of Natural Resources and Forestry | - |
Autor(es): dc.contributor | Aarhus University | - |
Autor(es): dc.contributor | IUCN/SSC Peccary Specialist Group | - |
Autor(es): dc.creator | Street, Garrett M. | - |
Autor(es): dc.creator | Potts, Jonathan R. | - |
Autor(es): dc.creator | Börger, Luca | - |
Autor(es): dc.creator | Beasley, James C. | - |
Autor(es): dc.creator | Demarais, Stephen | - |
Autor(es): dc.creator | Fryxell, John M. | - |
Autor(es): dc.creator | McLoughlin, Philip D. | - |
Autor(es): dc.creator | Monteith, Kevin L. | - |
Autor(es): dc.creator | Prokopenko, Christina M. | - |
Autor(es): dc.creator | Ribeiro, Miltinho C. [UNESP] | - |
Autor(es): dc.creator | Rodgers, Arthur R. | - |
Autor(es): dc.creator | Strickland, Bronson K. | - |
Autor(es): dc.creator | van Beest, Floris M. | - |
Autor(es): dc.creator | Bernasconi, David A. | - |
Autor(es): dc.creator | Beumer, Larissa T. | - |
Autor(es): dc.creator | Dharmarajan, Guha | - |
Autor(es): dc.creator | Dwinnell, Samantha P. | - |
Autor(es): dc.creator | Keiter, David A. | - |
Autor(es): dc.creator | Keuroghlian, Alexine | - |
Autor(es): dc.creator | Newediuk, Levi J. | - |
Autor(es): dc.creator | Oshima, Júlia Emi F. [UNESP] | - |
Autor(es): dc.creator | Rhodes, Olin | - |
Autor(es): dc.creator | Schlichting, Peter E. | - |
Autor(es): dc.creator | Schmidt, Niels M. | - |
Autor(es): dc.creator | Vander Wal, Eric | - |
Data de aceite: dc.date.accessioned | 2022-08-04T22:12:03Z | - |
Data de disponibilização: dc.date.available | 2022-08-04T22:12:03Z | - |
Data de envio: dc.date.issued | 2022-04-28 | - |
Data de envio: dc.date.issued | 2022-04-28 | - |
Data de envio: dc.date.issued | 2020-12-31 | - |
Fonte completa do material: dc.identifier | http://dx.doi.org/10.1111/2041-210X.13701 | - |
Fonte completa do material: dc.identifier | http://hdl.handle.net/11449/222300 | - |
Fonte: dc.identifier.uri | http://educapes.capes.gov.br/handle/11449/222300 | - |
Descrição: dc.description | Sample size sufficiency is a critical consideration for estimating resource selection functions (RSFs) from GPS-based animal telemetry. Cited thresholds for sufficiency include a number of captured animals (Formula presented.) and as many relocations per animal N as possible. These thresholds render many RSF-based studies misleading if large sample sizes were truly insufficient, or unpublishable if small sample sizes were sufficient but failed to meet reviewer expectations. We provide the first comprehensive solution for RSF sample size by deriving closed-form mathematical expressions for the number of animals M and the number of relocations per animal N required for model outputs to a given degree of precision. The sample sizes needed depend on just 3 biologically meaningful quantities: habitat selection strength, variation in individual selection and a novel measure of landscape complexity, which we define rigorously. The mathematical expressions are calculable for any environmental dataset at any spatial scale and are applicable to any study involving resource selection (including sessile organisms). We validate our analytical solutions using globally relevant empirical data including 5,678,623 GPS locations from 511 animals from 10 species (omnivores, carnivores and herbivores living in boreal, temperate and tropical forests, montane woodlands, swamps and Arctic tundra). Our analytic expressions show that the required M and N must decline with increasing selection strength and increasing landscape complexity, and this decline is insensitive to the definition of availability used in the analysis. Our results demonstrate that the most biologically relevant effects on the utilization distribution (i.e. those landscape conditions with the greatest absolute magnitude of resource selection) can often be estimated with much fewer than (Formula presented.) animals. We identify several critical steps in implementing these equations, including (a) a priori selection of expected model coefficients and (b) regular sampling of background (pseudoabsence) data within a given definition of availability. We discuss possible methods to identify a priori expectations for habitat selection coefficients, effects of scale on RSF estimation and caveats for rare species applications. We argue that these equations should be a mandatory component for all future RSF studies. | - |
Descrição: dc.description | Department of Wildlife Fisheries and Aquaculture Mississippi State University | - |
Descrição: dc.description | Quantitative Ecology and Spatial Technologies Laboratory Mississippi State University | - |
Descrição: dc.description | School of Mathematics and Statistics Uiversity of Sheffield | - |
Descrição: dc.description | Department of Biosciences Swansea University | - |
Descrição: dc.description | Centre for Biomathematics Swansea University | - |
Descrição: dc.description | Savannah River Ecology Laboratory University of Georgia | - |
Descrição: dc.description | Department of Integrative Biology University of Guelph | - |
Descrição: dc.description | Department of Biology University of Saskatchewan | - |
Descrição: dc.description | Haub School of Environment and Natural Resources University of Wyoming | - |
Descrição: dc.description | Department of Biology Memorial University of Newfoundland | - |
Descrição: dc.description | Instituto de Biosciências Universidad Estadual Paulista | - |
Descrição: dc.description | Centre for Northern Forest Ecosystem Research Ontario Ministry of Natural Resources and Forestry | - |
Descrição: dc.description | Department of Bioscience Aarhus University | - |
Descrição: dc.description | Wyoming Cooperative Fish and Wildlife Research Unit University of Wyoming | - |
Descrição: dc.description | IUCN/SSC Peccary Specialist Group | - |
Descrição: dc.description | Instituto de Biosciências Universidad Estadual Paulista | - |
Idioma: dc.language | en | - |
Relação: dc.relation | Methods in Ecology and Evolution | - |
???dc.source???: dc.source | Scopus | - |
Palavras-chave: dc.subject | bootstrap | - |
Palavras-chave: dc.subject | habitat selection | - |
Palavras-chave: dc.subject | p-value | - |
Palavras-chave: dc.subject | power analysis | - |
Palavras-chave: dc.subject | resource selection function | - |
Palavras-chave: dc.subject | sample size | - |
Palavras-chave: dc.subject | species distribution model | - |
Palavras-chave: dc.subject | validation | - |
Título: dc.title | Solving the sample size problem for resource selection functions | - |
Tipo de arquivo: dc.type | livro digital | - |
Aparece nas coleções: | Repositório Institucional - Unesp |
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