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

Sollmann, Rahel; Furtado, Mariana Malzoni; Gardner, Beth; Hofer, Heribert; Jácomo, Anah T. A.; Tôrres, Natália Mundim; Silveira, Leandro

doi:10.1016/j.biocon.2010.12.011

Cited by 231 publications

(268 citation statements)

References 45 publications

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“…SCR has become the standard method for obtaining such information for many species, and is now routinely used to estimate abundance of populations of conservation concern including species such as tigers (Royle et al 2009), grizzly bears (Efford andMowat 2014, Kendall et al 2016), wolverines (Magoun et al 2011, Box 1) and jaguars (Sollmann et al 2011). These and many other species are extremely difficult to capture and so non-invasive sampling combined with SCR methods are well suited to study these species.…”

Section: Discussionmentioning

confidence: 99%

Unifying population and landscape ecology with spatial capture–recapture

Royle¹,

Fuller

Sutherland³

2017

Ecography

121

162

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Spatial heterogeneity in the environment induces variation in population demographic rates and dispersal patterns, which result in spatio-temporal variation in density and gene flow. Unfortunately, applying theory to learn about the role of spatial structure on populations has been hindered by the lack of mechanistic spatial models and inability to make precise observations of population state and structure. Spatial capture-recapture (SCR) represents an individual-based analytic framework for overcoming this fundamental obstacle that has limited the utility of ecological theory. SCR methods make explicit use of spatial encounter information on individuals in order to model density and other spatial aspects of animal population structure, and they have been widely adopted in the last decade. We review the historical context and emerging developments in SCR models that enable the integration of explicit ecological hypotheses about landscape connectivity, movement, resource selection, and spatial variation in density, directly with individual encounter history data obtained by new technologies (e.g. camera trapping, non-invasive DNA sampling). We describe ways in which SCR methods stand to advance the study of animal population ecology.

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Section: Discussionmentioning

confidence: 99%

Unifying population and landscape ecology with spatial capture–recapture

Royle¹,

Fuller

Sutherland³

2017

Ecography

121

162

View full text Add to dashboard Cite

show abstract

“…Furthermore, except for one tiger, tigers identified inside and outside the park were detected exclusively within each area. Second, the spatial capture-recapture model uses Bayesian inference, which is ideally suited for sparse data such as ours (18,19). For example, Sollmann et al (18) reliably estimated jaguar density from five animals.…”

Section: Lettermentioning

confidence: 99%

Reply to Goswami et al., Harihar et al., and Karanth et al.: Fine-scale interactions between tigers and people

Carter¹,

Shrestha²,

Karki³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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“…Palomares et al (2012) observed more males than females in six study areas even after identifying individuals from fecal samples, and they attributed this result to the increased use of the sampled routes by males. Aware of these biases induced by sex-specific behavior, Sollmann et al (2011) used sex-specific capture-recapture models and found a sex ratio of one male to four females, a result that, according to the authors, should be interpreted cautiously. To perform a population viability analysis, studies have used a sex ratio of 1:1 (Desbiez et al 2012, Miller 2013.…”

Section: Resultsmentioning

confidence: 99%