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Data from: Early-life experience influences dispersal in coyotes (Canis latrans)

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Mendeley Data2024-04-12 更新2024-06-27 收录
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https://datadryad.org/stash/dataset/doi:10.25338/B8PW5J
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Location data: Coyotes used in this study were captured year-round between 2000 and 2018. Trapping was done opportunistically in nature preserves and on private properties across the CMA using foot-hold traps or cable restraints. After animals were captured, they were transported to a laboratory where they were immobilized with Telazol (Zoetis Manufacturing & Research) and fitted with VHF radiocollars (Advanced Telemetry Systems and Lotek Wireless). Coyotes were located using triangulation with a truck mounted antenna or by visual observations. Coordinates were recorded with the program LOCATE II (Pacer). Coyotes were located once during the day, typically 2 or 3 times per week, and at night during tracking shifts in which we focused on a group of coyotes and obtained sequential locations at 60 to 120 minute intervals for 5 to 6 hours during the night. When radiocollared coyotes disappeared, we conducted flights with a helicopter or fixed wing aircraft to locate signals and then confirmed on the ground. Such flights were deployed opportunistically in most years, and covered northeastern Illinois and parts of Wisconsin and Indiana. Parent-offspring relationships: Parent-offspring relationships were established using blood or tissue samples collected at the time of capture. Individuals were genotyped using microsattelite markers and scored using Genetic Analysis System Software (version 8.0, Beckman-Coulter, Inc., Fullerton, California). Genotypes of pups were matched with parents using the programs CERVUS and PASOS (version 1.0; Duchesne et al. 2005). Further details can be found in Hennessy et al. (2012). Mortality data: Of the 85 coyotes in the original dispersal analysis, 48 were recovered post-mortem. Mortality data for these coyotes included approximate date of death and the suspected cause of death. In particular, we were able to identify mortality due to vehicle collisions with high confidence.
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2023-11-16
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