Estimating home range size under spatial constraints: a comparative approach using the semi-aquatic European mink (Mustela lutreola)

Accurate home range knowledge is essential for conserving species that are highly constrained by spatial features. The critically endangered European mink ( Mustela lutreola ) is a wetland specialist whose movements are constrained along rivers or in wetlands. In dendritic landscapes, conventional home range estimators such as Minimum Convex Polygons tend to include unsuitable areas in estimated home ranges. Using VHF telemetry data from 16 individual-years tracked in France between 1996–1999 and 2020–2022, we compared four methods: Kernel Density Estimator (KDE), an adaptative sphere-of-influence local convex hull (a-LoCoH), a newly developed Ecological Home Range method (EHR), and a Generalized Additive Model (GAM) approach integrating hydrographic covariates. Our objective is to determine which method best accounts for the European mink’s specialization in wetlands, considering the spatial distribution of locations. Evaluation with a wetland-specific metric showed KDE consistently overestimated range extent and included unsuitable areas, and a-LoCoH yielded mixed results, but these indicated that the method was not effective in excluding unused areas. It was EHR and GAM methods that aligned more closely with ecological constraints. We therefore recommend GAM because it matches our objective and has the capacity to integrate additional environmental variables. Using the GAM, male home ranges averaged 3,074 ha—26 times larger than female ranges (116 ha)—and were significantly larger in river than marsh landscapes. These are the largest ranges reported for the species. Large spatial requirements heighten vulnerability to road fatality and predation, both significant threats for remaining French populations. Our findings highlight the need for conservation strategies that integrate precise, spatial-constraint-based range estimates. The GAM method offers a robust, adaptable framework for managing European mink and other semi-aquatic species in complex landscapes.

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Journal
Peer Community Journal
Published
2026-09-21
DOI
https://doi.org/10.24072/pcjournal.801
Primary Topic
Wildlife Ecology and Conservation
Type
article
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article

Estimating home range size under spatial constraints: a comparative approach using the semi-aquatic European mink (Mustela lutreola)

Pascal Fournier, Stéphane Aulagnier, Romain Beaubert, Remi Bodinier et al.
Peer Community Journal
Wildlife Ecology and Conservation
article

Estimating home range size under spatial constraints: a comparative approach using the semi-aquatic European mink (Mustela lutreola)

Pascal Fournier, Stéphane Aulagnier, Romain Beaubert, Remi Bodinier, Christine Fournier-Chambrillon, Sebastien Devillard, Yoann Bressan
article en

Abstract

Accurate home range knowledge is essential for conserving species that are highly constrained by spatial features. The critically endangered European mink ( Mustela lutreola ) is a wetland specialist whose movements are constrained along rivers or in wetlands. In dendritic landscapes, conventional home range estimators such as Minimum Convex Polygons tend to include unsuitable areas in estimated home ranges. Using VHF telemetry data from 16 individual-years tracked in France between 1996–1999 and 2020–2022, we compared four methods: Kernel Density Estimator (KDE), an adaptative sphere-of-influence local convex hull (a-LoCoH), a newly developed Ecological Home Range method (EHR), and a Generalized Additive Model (GAM) approach integrating hydrographic covariates. Our objective is to determine which method best accounts for the European mink’s specialization in wetlands, considering the spatial distribution of locations. Evaluation with a wetland-specific metric showed KDE consistently overestimated range extent and included unsuitable areas, and a-LoCoH yielded mixed results, but these indicated that the method was not effective in excluding unused areas. It was EHR and GAM methods that aligned more closely with ecological constraints. We therefore recommend GAM because it matches our objective and has the capacity to integrate additional environmental variables. Using the GAM, male home ranges averaged 3,074 ha—26 times larger than female ranges (116 ha)—and were significantly larger in river than marsh landscapes. These are the largest ranges reported for the species. Large spatial requirements heighten vulnerability to road fatality and predation, both significant threats for remaining French populations. Our findings highlight the need for conservation strategies that integrate precise, spatial-constraint-based range estimates. The GAM method offers a robust, adaptable framework for managing European mink and other semi-aquatic species in complex landscapes.

Peer Community JournalVol. 6
Université Claude Bernard Lyon 1 (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Roche (France) (FR), French National Agency for Water and Aquatic Environments (FR), Office National de la Chasse et de la Faune Sauvage (FR), Laboratoire de Biométrie et Biologie Evolutive (FR), Fondation Pour la Recherche Sur la Biodiversité (FR), Génétique Physiologie et Systèmes d'Elevage (FR)
Life in Land
Openalex Percentile: Top 11%
Wildlife Ecology and Conservation
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