Estimating wolf population size in France using non-invasive genetic sampling and spatial capture recapture models

TL;DR

This study estimates the wolf population in France using non-invasive genetic sampling combined with spatial capture-recapture models, providing robust population figures crucial for management and conservation efforts.

Contribution

It demonstrates the effectiveness of combining non-invasive genetic data with spatial capture-recapture models for large-scale population monitoring.

Findings

Estimated wolf population between 920 and 1125 individuals

Detection probability influenced by snow cover and accessibility

Population expansion linked to recent recolonization from the Alps

Abstract

Population size is a key metric for management and conservation. This is especially true for large carnivore populations for which management decisions are often based on population size estimates. In France, gray wolves (Canis lupus) have been monitored for more than two decades using non-invasive genetic sampling and capture-recapture models. Population size estimates directly inform the annual number of wolves that can be killed legally. It is therefore key to use appropriate methods to obtain robust population size estimates. To track the recent numerical and geographical expansion of the population, a substantial increase in sample collection was performed during the winter 2023/24 within the entire wolf distribution range in France. A total of 1964 samples were genotyped and assigned to 576 different individuals using microsatellites genetic markers. During the winter 2023/24, spatial capture-recapture models estimated the wolf population size in France to be likely between 920 and 1125 individuals (95% credible interval). Detection probability varied spatially and was positively influenced by snow cover and accessibility. Wolf density was strongly associated with the recent presence of the species, reflecting the ongoing recolonization process from the Alps. This work illustrates the usefulness of non-invasive genetic data and spatial capture-recapture for large-scale population assessment. It also lays the ground for future improvements in monitoring to fully exploit the potential of spatial capture-recapture models.