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• W3119191930 endingPage "176" @default.
• W3119191930 startingPage "165" @default.
• W3119191930 abstract "Abstract Numerous amphibian species are at risk of extinction worldwide. Therefore, reliable estimations of the distribution and abundance of these species are necessary for their conservation. Generally, amphibians are difficult to detect in the wild, which compromises the accuracy of long‐term population monitoring and management. Occupancy models are useful tools to assess how environmental variables, at a local and at a landscape scale, affect the distribution and abundance of organisms taking into account species imperfect detectability. In this study, we evaluated with an environmental multiscale approach the seasonal variation of the occupation area of the threatened salamander, Ambystoma ordinarium along its distribution range. We obtained readings in 60 streams of physicochemical variables associated with habitat quality and landscape features. We found that detection and occupation probability of A. ordinarium are seasonally associated with different environmental variables. During the dry season, detectability was positively associated with temperature and stream depth, whereas occupancy was positively associated with the proportion of crops in the landscape and stream elevation. In the rainy season, the detection probability was not explained by any variable considered, and occupancy was negatively associated with stream's electrical conductivity and dissolved oxygen. Based on the estimation of occupied sites, we showed that A. ordinarium presents a more restricted distribution range than previously projected. Therefore, our results reveal the importance of evaluating the accuracy of distribution estimates for the conservation of threatened species as A. ordinarium ." @default.
• W3119191930 created "2021-01-18" @default.
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• W3119191930 date "2021-01-13" @default.
• W3119191930 modified "2023-10-03" @default.
• W3119191930 title "Occupancy models including local and landscape variables are useful to assess the distribution of a salamander species at risk" @default.
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• W3119191930 doi "https://doi.org/10.1002/1438-390x.12078" @default.
• W3119191930 hasPublicationYear "2021" @default.
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