These data are the inputs for multi-session spatial capture-recapture models to investigate the drivers of leopard (Panthera pardus) density among and within 27 study sites in South Africa. The files are formatted for use with R package "secr" (see https://cran.r-project.org/web/packages/secr/vignettes/secr-datainput.pdf for more information). Data were collected by Panthera's Southern Africa Leopard Monitoring Program and processed by Panthera's Integrated Data Systems team. Contact Matt Rogan (mrogan@panthera.org) for information about the data presented here and IDS@panthera.org for information about unprocessed camera-trap survey data.
The data consist of a multi-session capture history file (ms.chcapt.txt), 27 trap files (ms.chtrap[SITE].txt), and two spatial layers: a polygon shapefile denoting potential leopard habitat used to define the model statespace and a polygon shapefile denoting non-protected terrestrial areas of Southern Africa.
This is an initial release of the code and data for the Rogan et al.
manuscript, "Troubled spots: Human impacts constrain the density of an
apex predator inside protected areas," which has been
provisionally accepted for publication in Ecological Applications.
History
Department/Unit
Institute for Communities and Wildlife in Africa, University of Cape Town