دورية أكاديمية
A spatial capture-recapture model for group-living species.
| العنوان: | A spatial capture-recapture model for group-living species. |
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| المؤلفون: | Emmet RL; Quantitative Ecology and Resource Management, University of Washington, Seattle, Washington, USA., Augustine BC; Department of Natural Resources and the Environment, Cornell University, Ithaca, New York, USA., Abrahms B; Department of Biology, Center for Ecosystem Sentinels, University of Washington, Seattle, Washington, USA., Rich LN; California Department of Fish and Wildlife, Wildlife Diversity Program, West Sacramento, California, USA., Gardner B; School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, USA. |
| المصدر: | Ecology [Ecology] 2022 Oct; Vol. 103 (10), pp. e3576. Date of Electronic Publication: 2021 Dec 02. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Ecological Society of America Country of Publication: United States NLM ID: 0043541 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-9170 (Electronic) Linking ISSN: 00129658 NLM ISO Abbreviation: Ecology Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Washington, DC : Ecological Society of America Original Publication: Brooklyn, NY : Brooklyn Botanical Garden |
| مواضيع طبية MeSH: | Ecosystem*, Computer Simulation ; Population Density ; Population Dynamics |
| مستخلص: | Group living in species can have complex consequences for individuals, populations, and ecosystems. Therefore, estimating group density and size is often essential for understanding population dynamics, interspecific interactions, and conservation needs of group-living species. Spatial capture-recapture (SCR) has been used to model both individual and group density in group-living species, but modeling either individual-level or group-level detection results in different biases due to common characteristics of group-living species, such as highly cohesive movement or variation in group size. Furthermore, no SCR method currently estimates group density, individual density, and group size jointly. Using clustered point processes, we developed a cluster SCR model to estimate group density, individual density, and group size. We compared the model to standard SCR models using both a simulation study and a data set of detections of African wild dogs (Lycaon pictus), a group-living carnivore, on camera traps in northern Botswana. We then tested the model's performance under various scenarios of group movement in a separate simulation study. We found that the cluster SCR model outperformed a standard group-level SCR model when fitted to data generated with varying group sizes, and mostly recovered previous estimates of wild dog group density, individual density, and group size. We also found that the cluster SCR model performs better as individuals' movements become more correlated with their groups' movements. The cluster SCR model offers opportunities to investigate ecological hypotheses relating group size to population dynamics while accounting for cohesive movement behaviors in group-living species. (© 2021 The Ecological Society of America.) |
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| فهرسة مساهمة: | Keywords: African wild dog; abundance; point process model; sociality; spatial capture-recapture |
| تواريخ الأحداث: | Date Created: 20211029 Date Completed: 20221004 Latest Revision: 20221212 |
| رمز التحديث: | 20221212 |
| DOI: | 10.1002/ecy.3576 |
| PMID: | 34714927 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1939-9170 |
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| DOI: | 10.1002/ecy.3576 |