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Tracking movements in an endangered capercaillie population using DNA-tagging

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DataONE2023-12-11 更新2024-06-08 收录
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https://search.dataone.org/view/https://doi.org/10.5061/dryad.b8gtht7kh
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Knowing the location and movements of individuals at various temporal and spatial scales is an important facet of behavior and ecology. In threatened populations, movements that would ensure gene flow and population viability are often challenged by habitat fragmentation. Also in those endangered populations capturing and handling individuals to tag them, or to obtain tissue samples, can present additional challenges. DNA tagging, i.e. non-invasive individual identification of samples, can reveal movement patterns. We used fecal material genetically assigned to individuals to indirectly track movements of a large-bodied, endangered forest bird, Cantabrian capercaillie (Tetrao urogallus cantabricus). We wanted to know how the birds were using the fragmented forest landscape, and whether they showed fidelity to display areas. We used multi-event capture-recapture models to estimate fidelity to display areas among three consecutive mating seasons. We identified 127 individuals, and registe..., , , # Tracking movements in an endangered capercaillie population using DNA-tagging This dataset contains the information on the individual birds identified, and the relative positions of their captures and recaptures. The coordinates have been shifted to a non-geographical reference, although maintaining the original dimensions, to comply with the Spanish guidelines for treatment of information on endangered species. ## Description of the data and file structure \- **all_locations.csv**: this is a comma-separated dataset that contains all locations of individuals (column ***indv***) included in the study. The coordinates (fields ***x_relative*** and ***y_relative***) resulted from shifting the original coordinates to a non-geographical reference, although maintaining the original dimensions, which would allow repeating the spatial treatment of the data. Also included are fields ***year*** (year of the Spring survey) and ***sex***. In the latter males are coded as ***M***, females as *...
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2023-12-11
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