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Título

Population abundance, size structure and sex-ratio in an insular lizard

AutorTenan, Simone; Rotger, Andreu CSIC ORCID CVN; Igual, José Manuel CSIC ORCID ; Moya, Oscar; Royle, J. Andrew; Tavecchia, Giacomo CSIC ORCID
Palabras clavePopulation size
Data augmentation
Capture-mark-recapture
Individual covariates
Insular lizards
Sex-ratio
Fecha de publicación2013
EditorElsevier
CitaciónEcological Modelling 267: 39-47 (2013)
ResumenEstimating population size and understanding its variation is a fundamental, yet complicated, aim of many ecological studies. We considered the problem of estimating spring and autumn population abundance, size-dependent population structure and sex-ratio of the endemic Balearic Lizard, Podarcis lilfordi from a three occasions capture-recapture study. We used a Bayesian formulation of individual covariate models to incorporate individual sex, size and trap-response. We first considered a set of simulated data with a medium-to-low probability of recapture and individual recapture heterogeneity to evaluate potential problems in model fitting and selection. Results from simulated data indicated a low performance in parameter estimation and model selection when probability of detection was low (0.15-0.30). We found a negative permanent trap response and a positive effect of size on detection probability in the spring survey but not in the autumn one. The estimated mean densities varied from about 800 to 1000lizardsha-1, a high value when comparing with mainland lizard populations. The observed increase in abundance was probably due to a drop in territorial behaviour and the immigration of females into the area sampled. As a consequence, sex-ratio changed from nearly even in June (mean posterior, 95%CRI; 0.928, 0.676-1.167) to a female-skewed population in October (0.612, 0.478-0.772). © 2013 Elsevier B.V.
Versión del editorhttp://dx.doi.org/10.1016/j.ecolmodel.2013.07.015
URIhttp://hdl.handle.net/10261/95349
DOI10.1016/j.ecolmodel.2013.07.015
Identificadoresdoi: 10.1016/j.ecolmodel.2013.07.015
issn: 0304-3800
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