Leonardo Maffei

TL;DR: In this paper, the first applica- tion of a systematic camera trapping methodology for abundance estimation of jaguars was presented, which used a grid of camera traps deployed for 2 months, identified individual animals from their pelage patterns, and estimated population abundance using capture-recapture statistical models.

TL;DR: In this article, the authors used obvious and subtle markings to identify individual pumas in photographs and conducted double-blind identifications to examine the degree of agreement among investigators, finding that the average agreement on identification between pairs of investigators was nearly 80.0% and 3-way agreement was 72.9%.

TL;DR: Activity patterns showed that jaguars are active all day, particularly at one of three sites, with peaks in the morning and evening the more common pattern, and Minimum observed home range was variable, with males occupying more area than females (up to 65 km 2 ).

TL;DR: In this paper, the population density of ocelots (Felis pardalis L.) across five Bolivian dry-forest sites with different habitat types and/or annual rainfall regimes was investigated.

TL;DR: In this paper, the authors compared two spatial explicit capture-recapture (SCR) software packages: secr, a likelihood-based approach, and SPACECAP, a Bayesian approach, both of which are implemented within the R environment and can be used to estimate animal density from photographic records of individual animals that simultaneously employ spatial information about the capture location relative to the sample location.