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Influence of temporary emigration on wood turtle (Glyptemys insculpta) detectability, with implications for abundance estimation.
Beard, Allyson N; Brown, Donald J; Hileman, Eric T; Jones, Michael T; Staggs, Jena M; Moen, Ron A; Badje, Andrew F; Lituma, Christopher M.
Afiliação
  • Beard AN; School of Natural Resources, West Virginia University, Morgantown, West Virginia, United States of America.
  • Brown DJ; School of Natural Resources, West Virginia University, Morgantown, West Virginia, United States of America.
  • Hileman ET; Pacific Northwest Research Station, USDA Forest Service, Amboy, Washington, United States of America.
  • Jones MT; School of Natural Resources, West Virginia University, Morgantown, West Virginia, United States of America.
  • Staggs JM; Massachusetts Division of Fisheries and Wildlife, Westborough, Massachusetts, United States of America.
  • Moen RA; School of Natural Resources, West Virginia University, Morgantown, West Virginia, United States of America.
  • Badje AF; Natural Resources Research Institute, University of Minnesota-Duluth, Duluth, Minnesota, United States of America.
  • Lituma CM; Bureau of Natural Heritage Conservation, Wisconsin Department of Natural Resources, La Crosse, Wisconsin, United States of America.
PLoS One ; 19(4): e0302170, 2024.
Article em En | MEDLINE | ID: mdl-38625927
ABSTRACT
Reliable population estimates are important for making informed management decisions about wildlife species. Standardized survey protocols have been developed for monitoring population trends of the wood turtle (Glyptemys insculpta), a semi-aquatic freshwater turtle species of conservation concern throughout its distribution in east-central North America. The protocols use repeated active search surveys of defined areas, allowing for estimation of survey-specific detection probability (p) and site-specific abundance. These protocols assume population closure within the survey area during the survey period, which is unlikely to be met as wood turtles are a highly mobile species. Additionally, current protocols use a single-pass design that does not allow for separation of availability (pa) and detectability (pd). If there are systematic influences on pa or pd that are not accounted for in the survey design or data analysis, then resulting abundance estimates could be biased. The objectives of this study were to determine if pa is a random process and if pa and pd are influenced by demographic characteristics. We modified the wood turtle survey protocol used in the upper Midwest to include a double-pass design, allowing us to estimate pa and pd using a robust design capture-recapture model. The modified protocol was implemented at 14 wood turtle monitoring sites in Minnesota and Wisconsin between 2017 and 2022. Our results indicated that pa was non-random and that pd increased with turtle carapace length. Our study suggests that model assumptions for current wood turtle population models may be violated, likely resulting in an overestimation of abundance. We discuss possible protocol and modeling modifications that could result in more accurate wood turtle abundance estimates.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tartarugas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tartarugas Idioma: En Ano de publicação: 2024 Tipo de documento: Article