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<p>The ability to estimate abundances of multiple wildlife species within an area is valuable for both conservation and ecological inquiry. Spatially explicit capture–recapture (SCR) methods are commonly used to obtain reliable population size estimates, particularly for low-density and individually identifiable carnivore species. However, estimating abundance within multi-species communities poses a methodological challenge as survey designs and analytical tools are primarily tailored for single target species. Here, we present a dataset of spatially referenced individual encounter histories of six carnivore species with varying space requirements (lion, <i>Panthera leo</i>; leopard, <i>Panthera pardus</i>; spotted hyena, <i>Crocuta crocuta</i>; cheetah, <i>Acinonyx jubatus</i>; serval, <i>Leptailurus serval</i>; large-spotted genet, <i>Genetta tigrina</i>). These data were collected in a South African game reserve using a camera trap array optimized for multi-species density estimation using SCR methods. This dataset will be a valuable resource for studying spatial processes among potentially interacting carnivores without the common pitfalls that come with by-catch data of non-target species, and will provide a much-needed case study for the further development of multi-species statistical method development.</p>

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Individual encounter data of six African carnivore species optimized for multi-species density estimation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月22日

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  • Laura C. Gigliotti,
  • Gates Dupont,
  • Chris Sutherland,
  • Charli Pretorius,
  • Simon Naylor,
  • Kerrin Allan,
  • Gonçalo Curveira-Santos

摘要

The ability to estimate abundances of multiple wildlife species within an area is valuable for both conservation and ecological inquiry. Spatially explicit capture–recapture (SCR) methods are commonly used to obtain reliable population size estimates, particularly for low-density and individually identifiable carnivore species. However, estimating abundance within multi-species communities poses a methodological challenge as survey designs and analytical tools are primarily tailored for single target species. Here, we present a dataset of spatially referenced individual encounter histories of six carnivore species with varying space requirements (lion, Panthera leo; leopard, Panthera pardus; spotted hyena, Crocuta crocuta; cheetah, Acinonyx jubatus; serval, Leptailurus serval; large-spotted genet, Genetta tigrina). These data were collected in a South African game reserve using a camera trap array optimized for multi-species density estimation using SCR methods. This dataset will be a valuable resource for studying spatial processes among potentially interacting carnivores without the common pitfalls that come with by-catch data of non-target species, and will provide a much-needed case study for the further development of multi-species statistical method development.