Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/37563
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 SizeFormat 
The use of Spatially Explicit Capture-Recapture models.pdf728.08 kBAdobe PDFView/Open


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.