Research overview: estimating jaguar density with camera traps

Like tigers, jaguars are individually identifiable by their rosette patterns, making camera-trap capture-recapture a key tool for estimating their density. This overview synthesizes how researchers across the Neotropics deploy camera arrays and spatially explicit models to estimate jaguar numbers while accounting for imperfect detection and movement across survey boundaries. It reviews how density varies from high values in productive wetlands and rainforests to low values in dry forest and disturbed habitats, and how monitoring detects trends and evaluates conservation actions. The synthesis explains why rigorous density estimation underpins jaguar management and range-wide assessments. For enthusiasts it clarifies how scientists count an elusive forest cat, why rosette patterns serve as natural identification tags, and how the resulting density estimates feed into decisions about which populations are secure and which are at risk.