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Estimating red fox density using non-invasive genetic sampling and spatial capture-recapture modelling.

Lars K Lindsø1,2,3, Pierre Dupont4, Lars Rød-Eriksen5

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This summary is machine-generated.

Spatial capture-recapture (SCR) modelling using non-invasive genetic sampling (NGS) revealed lower red fox densities in central Norway. Forest cover positively influenced red fox density in the central area, with varying home-range sizes between sexes and regions.

Keywords:
DensityNon-invasive genetic samplingRed foxSpatial capture–recapture

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Area of Science:

  • Ecology
  • Wildlife Management
  • Conservation Biology

Background:

  • Spatial capture-recapture (SCR) modelling is essential for studying elusive wildlife populations.
  • Non-invasive genetic sampling (NGS) offers a non-disruptive method for collecting genetic data from wildlife.
  • Red foxes (Vulpes vulpes) are adaptable predators found across diverse habitats.

Purpose of the Study:

  • To estimate red fox densities and home-range sizes in two Norwegian boreal forest areas using SCR and NGS.
  • To investigate the influence of forest cover on red fox density.
  • To assess the effectiveness of SCR modelling combined with NGS for wildlife monitoring.

Main Methods:

  • Applied spatial capture-recapture (SCR) modelling to non-invasive genetic sampling (NGS) data.
  • Collected genetic samples from red foxes in central and southern Norway between 2016 and 2018.
  • Analyzed data to estimate population densities, home-range sizes, and the effect of forest cover.

Main Results:

  • Red fox densities were lower in central Norway (0.04-0.10 foxes/km²) compared to southern Norway (0.09-0.16 foxes/km²).
  • Forest cover positively affected red fox density in the central area but not in the southern area.
  • Mean female home-range sizes were 45 km² (central) and 26 km² (southern); male sizes were 88 km² (central) and 56 km² (southern).
  • Detection probability was session-dependent and influenced by sampling effort.

Conclusions:

  • SCR modelling with NGS provides an efficient method for monitoring red fox populations.
  • Ecological factors like forest cover can be incorporated into SCR models to understand their impact on population dynamics.
  • The study demonstrates the utility of combining advanced statistical techniques with non-invasive sampling for wildlife research and conservation.