Applying a random encounter model to estimate lion density from camera traps in Serengeti National Park, Tanzania

Abstract

The random encounter model (REM) is a novel method for estimating animal density from camera trap data without the need for individual recognition. It has never been used to estimate the density of large carnivore species, despite these being the focus of most camera trap studies worldwide. In this context, we applied the REM to estimate the density of… (More)

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