Data on the population dynamics and threats to large carnivores are vital to conservation efforts, but these are hampered by a paucity of studies. For some species, such as the leopard (Panthera pardus), there is such uncertainty in population trends that leopard trophy hunting has been banned in South Africa since 2016 while further data on leopard abundance are collected. We present one of the first assessments of leopard population dynamics, and identify the key threats to a population of leopards outside of protected areas in South Africa. We conducted a long-term trap survey between 2012 and 2016 in the Soutpansberg Mountains, and drew on a previous estimate of leopard population density for the region from 2008. In 24 sampling periods, we estimated the population density and assessed population structure. We fitted eight leopards with GPS collars to assess threats to the population. Leopard population density declined by 66%, from 10.73 to 3.65 leopards per 100 km2 in 2008 and 2016, respectively. Collared leopards had a high mortality rate, which appeared to be due to illegal human activity. While improving the management of trophy hunting is important, we suggest that mitigating human–wildlife conflict could have a bigger impact on carnivore conservation.
SPACECAP inputs used
Zip archive containing SPACECAP input files for 24 surveys of leopard population density in the Soutpansberg Mountains, South Africa from 2012 to 2016. For each survey (for dates see article) the archive contains a
- capture history file "capture_sXX.csv"
- trap deployment file "deployment_sXX.csv"
- potential home range centres file "HRC_s01.csv"
ANIMAL_ID coding in capture file
Details of coding used in SPACECAP input files. In input files ANIMAL_IDs must be represented as sequential numbers. This file shows which ANIMAL_IDs correspond to which individual animals.
LOC_ID coding in deployment files
Details of coding used in SPACECAP input files. In input files LOC_IDs must be represented as sequential numbers. This file shows which LOC_IDs correspond to which camera station numbers.
densityInclExcl2008
Camera trap data analysed using "cameraTrapAnalysis.R".
leopardTenure
Camera trap data analysed using "cameraTrapAnalysis.R".
individuals
Camera trap data analysed using "cameraTrapAnalysis.R".
heatmapLeopard
Camera trap data analysed using "cameraTrapAnalysis.R".
cameraTrapAnalysis
R code used to analyse the data
cameraTrapAnalysis output
Output of data analysis
README
README file containing additional information about the files in this dataset