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Mammal Review - 2023 - Palmero - Sampling variables and their thresholds for the precise estimation of wild felid.pdf 3,87MB
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1000 Titel
  • Sampling variables and their thresholds for the precise estimation of wild felid population density with camera traps and spatial capture–recapture methods
1000 Autor/in
  1. Palmero, Stefano |
  2. Premier, Joe |
  3. Kramer-Schadt, Stephanie |
  4. Monterroso, Pedro |
  5. Heurich, Marco |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-06-25
1000 Erschienen in
1000 Quellenangabe
  • 53(4):223-237
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1111/mam.12320 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>ABSTRACT</jats:title><jats:p> <jats:list> <jats:list-item><jats:p>Robust monitoring, providing information on population status, is fundamental for successful conservation planning. However, this can be hard to achieve for species that are elusive and occur at low densities, such as felids. These are often keystones of functioning ecosystems and are threatened by habitat loss and human persecution.</jats:p></jats:list-item> <jats:list-item><jats:p>When elusive species can be individually identified by visible characteristics, for example via camera‐trapping, observations of individuals can be used in combination with capture–recapture methods to calculate demographic parameters such as population density. In this context, spatial capture–recapture (SCR) outperforms conventional non‐spatial methods, but the precision of results is inherently related to the sampling design, which should therefore be optimised.</jats:p></jats:list-item> <jats:list-item><jats:p>We focussed on territorial felids in different habitats and investigated how the sampling designs implemented in the field affected the precision of population density estimates. We examined 137 studies that combined camera‐trapping and SCR methods for density estimation. From these, we collected spatiotemporal parameters of their sampling designs, monitoring results, such as the number of individuals captured and the number of recaptures, as well as SCR detection parameters. We applied generalised linear mixed‐effects models and tree‐based regression methods to investigate the influence of variables on the precision of population density estimates and provide numerical thresholds.</jats:p></jats:list-item> <jats:list-item><jats:p>Our analysis shows that the number of individuals, recapture frequency, and capture probability play the most crucial roles. Surveys yielding over 20 captured individuals that were recaptured on average at least once obtain the most precise population density estimates.</jats:p></jats:list-item> <jats:list-item><jats:p>Based on our findings, we provide practical guidelines for future SCR studies that apply to all territorial felids. Furthermore, we present a standardised reporting protocol for study transparency and comparability. Our results will improve reporting and reproducibility of SCR studies and aid in setting up optimised sampling designs.</jats:p></jats:list-item> </jats:list> </jats:p>
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1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-2755-1297|https://frl.publisso.de/adhoc/uri/UHJlbWllciwgSm9l|https://orcid.org/0000-0002-9269-4446|https://orcid.org/0000-0002-7911-3651|https://frl.publisso.de/adhoc/uri/SGV1cmljaCwgTWFyY28=
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