Improving density estimates for elusive carnivores: Accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil

By R. Sollmann, M. Furtado, Beth Gardner, Heribert Hofer, A. T. de Almeida Jácomo, N. Tôrres, L. Silveira. 2011

288 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/059f5224c7d3d731d25b2cad34ac4a7424042529

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Citations in the corpus

Monitoring in the presence of species misidentification: the case of the Eurasian lynx in the Alps (2012, background): “However, they are mainly used in smaller study areas in the range of 100–1000 km2 (e.g. Treves et al., 2010, but see Sharma et al., 2010 and Sollmann et al., 2011 for exceptions).”
Estimating jaguar densities with camera traps: Problems with current designs and recommendations for future studies (2013, methodology): “While the maximum likelihood implementation of the SECR model does require the sex of every individual to be known, the Bayesian implementation allows for missing data (Sollmann et al., 2011; Tobler et al., in press-a).”
Comparison of density estimation methods for mammal populations with camera traps in the Kaa‐Iya del Gran Chaco landscape (2012, background): “…tigers Panthera tigris (Karanth 1995; Karanth & Nichols, 1998; Karanth et al., 2006) and jaguars (Maffei, Cuéllar & Noss, 2004; Silver et al., 2004; Sollmann et al., 2011; Maffei et al., 2011), but a variety of other species have also been studied in South America alone [e.g. puma Puma concolor…”
High jaguar densities and large population sizes in the core habitat of the southwestern Amazon (2013, methodology): “This agrees with other studies; Sollmann et al. (2011) showed that cameras on roads in Brazil had a 10 times higher encounter rate compared to cameras off-road, and Harmsen et al. (2010) showed that encounter rates for jaguar in Belize increased with trail width and age.”
"Which camera trap type and how many do I need?" A review of camera features and study designs for a range of wildlife research applications (2013, methodology): “SCRmodelling is becoming the method of choice (Nichols et al., 2011) because it considers animal movement explicitly, it allows incorporating site-specific and individual covariates, and it is not biased by an informal estimation of the effective sampling area (Sollmann et al., 2011).”