Incorporating Movement Behavior and Barriers to Improve Kernel Home Range Space Use Estimates

Authors

  • SIMON BENHAMOU,

    Corresponding author
    1. Centre d'Ecologie Fonctionnelle et Evolutive, Centre National de la Recherche Scientifique, 1919 route de Mende, 34293 Montpellier cedex 5, France
      E-mail: simon.benhamou@cefe.cnrs.fr
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  • DANIEL CORNÉLIS

    1. Animal et Gestion Intégrée des Risques, Centre de Cooperation Internationale en Recherche Agronomique pour le Développement, Campus de Baillarguet, 34398 Montpellier cedex 5, France
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E-mail: simon.benhamou@cefe.cnrs.fr

Abstract

Abstract: Kernel-based utilization distribution (UD) estimates are powerful tools to investigate home range space use and resource selection in many vertebrate species. By ignoring local movement information provided by the serial correlation between successive locations and the constraints to movement imposed by obvious boundaries, the classical kernel method results in loosely estimated UDs that tend to overflow into never-visited areas and eventually in possibly biased estimates of space use and habitat selection. We improved biological relevance of kernel home range space use estimates by incorporating both movement (and activity) information and boundary constraints.

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