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Simple statistical models can be sufficient for testing hypotheses with population time-series data.
Wenger, Seth J; Stowe, Edward S; Gido, Keith B; Freeman, Mary C; Kanno, Yoichiro; Franssen, Nathan R; Olden, Julian D; Poff, N LeRoy; Walters, Annika W; Bumpers, Phillip M; Mims, Meryl C; Hooten, Mevin B; Lu, Xinyi.
Afiliação
  • Wenger SJ; Odum School of Ecology University of Georgia Athens Georgia USA.
  • Stowe ES; Odum School of Ecology University of Georgia Athens Georgia USA.
  • Gido KB; Division of Biology Kansas State University Manhattan Kansas USA.
  • Freeman MC; U.S. Geological Survey Eastern Ecological Science Center Athens Georgia USA.
  • Kanno Y; Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA.
  • Franssen NR; U.S. Fish and Wildlife Service Albuquerque New Mexico USA.
  • Olden JD; School of Aquatic and Fishery Sciences University of Washington Seattle Washington USA.
  • Poff NL; Department of Biology Colorado State University Fort Collins Colorado USA.
  • Walters AW; U.S. Geological Survey Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology and Program in Ecology University of Wyoming Laramie Wyoming USA.
  • Bumpers PM; Odum School of Ecology University of Georgia Athens Georgia USA.
  • Mims MC; Department of Biological Sciences Virginia Tech Blacksburg Virginia USA.
  • Hooten MB; Department of Statistics and Data Sciences The University of Texas at Austin Austin Texas USA.
  • Lu X; Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA.
Ecol Evol ; 12(9): e9339, 2022 Sep.
Article em En | MEDLINE | ID: mdl-36188518
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ecol Evol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ecol Evol Ano de publicação: 2022 Tipo de documento: Article