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Title: | The use of spatially explicit capture-recapture models for estimating Iberian lynx abundance in a newly reintroduced population |
Author: | Sarmento, Pedro Carrapato, Carlos |
Keywords: | Camera-traps Capture-recapture Reintroduction Spatial models |
Issue Date: | Sep-2019 |
Publisher: | Elsevier |
Abstract: | From 2015 till 2018, 33 lynxes were released in southeast Portugal (Guadiana valley) as a result of an Iberian reintroduction project. Since then, at least 45 lynxes were born in the wild during 3 breeding seasons. In 2018, a combination of sign search and camera trapping was applied to estimate lynx abundance in the Guadiana reintroduction area, using spatially explicit capture-recapture (SECR) models with the incorporation of sex-specific parameters. A total effort of 7210 trap-days led to 218 independent lynx captures (except for yearlings), which corresponded to 22 adults or sub-adults in 50 stations (28%). The estimated population size was 22–29 individuals (adults and sub-adults) in the 723 km2 study area, leading to a density of 3.4 lynxes (>1-year-old)/100 km2. Individuals were heterogeneously distributed, since most lynxes occurred in clusters with a few lynxes scattered among them. Use of space was sex-dependent and, as expected, males moved more distances than females. Apart from the estimated 22–29 over 1 year-old lynxes, the study detected the presence of 27 yearlings. The reintroduction project is still at an early stage, since the goal for a baseline population has not yet been reached (15 reproductive females) and it is therefore essential to improve organizational issues to implement a viable long-term system covering all critical areas, namely long-term replicable census for population monitoring. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/37563 |
DOI: | 10.1016/j.mambio.2019.07.004 |
ISSN: | 1616-5047 |
Appears in Collections: | CESAM - Artigos |
Files in This Item:
File | Description | Size | Format | |
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The use of Spatially Explicit Capture-Recapture models.pdf | 728.08 kB | Adobe PDF | View/Open |
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