Recommendation of: Estimating home range size under spatial constraints: a comparative approach using the semi-aquatic European mink (Mustela lutreola). Round#4
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-constraintbased 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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BibTeX
@article{bodinier2026recommendation,
title = {{Recommendation of: Estimating home range size under spatial constraints: a comparative approach using the semi-aquatic European mink (Mustela lutreola). Round#4}},
author = {Remi Bodinier and Stephane Aulagnier and Yoann Bressan and Romain Beaubert and Christine Fournier-Chambrillon and Sébastien Devillard and Pascal Fournier},
journal = {Peer Community In Ecology},
year = {2026},
month = sep,
doi = {10.24072/pci.ecology.101202},
url = {https://hal.science/hal-05790732v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Recommendation of: Estimating home range size under spatial constraints: a comparative approach using the semi-aquatic European mink (Mustela lutreola). Round#4
AU - Remi Bodinier
AU - Stephane Aulagnier
AU - Yoann Bressan
AU - Romain Beaubert
AU - Christine Fournier-Chambrillon
AU - Sébastien Devillard
AU - Pascal Fournier
PY - 2026
DA - 2026/09/16
JO - Peer Community In Ecology
DO - 10.24072/pci.ecology.101202
UR - https://hal.science/hal-05790732v1
AB - 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-constraintbased range estimates. The GAM method offers a robust, adaptable framework for managing European mink and other semi-aquatic species in complex landscapes.
SN - 2606-4979
ER -