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<p>Habitats are key components for understanding wildlife space use. In the <i>OneHealth</i> context, having access to an accurate description of habitats can contribute to public health policies, conservation programs and landscape planning projects. The purpose of this work is to propose a workflow for describing and mapping habitats of animal species using existing and available multi-source geographical databases. We focused on the urban red fox in the <i>Métropole du Grand Nancy</i> in France. Our approach was to target a large spatial scale and to model both land use and land cover (LULC) so that to model landscape elements and the associated anthropic opportunities and disturbances. An automatic integration process was defined and applied to the study site in 2007 which corresponds to the period when foxes were monitored. The computed map was assessed by comparing land cover items and geometries with a reference dataset built from visual interpretation of external sources. The geographical locations (latitude, longitude) of red fox recorded in 2006 and 2007 by Global Positioning System (GPS) tracking were analyzed with respect to the computed map. Results indicated consistent space use compared to the literature. Besides, land uses gave different highlights than land covers, especially at night when travelling longer distances. The process was then applied to the study site in the recent year of 2022 in order to locate landscape changes since 2007. It appeared that the changed areas included private and public green spaces and now contain buildings. They were extensively used by the red foxes; hence their living spaces have undergone significant changes. The proposed workflow based on automatic processes and targeting fine spatial scales enabled to map habitats in the various urbanized environments of our study site, at different dates, and to analyze landscape regarding its ecological functions.</p>

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Land Use Land Cover Data to Map Urban Red Fox Habitats and Their Diachronic Changes

  • 期刊论文

  • 发表日期：

    2026年6月1日

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  • Laurence Jolivet,
  • Emmanuelle Robardet,
  • Marianne Cohen

摘要

Habitats are key components for understanding wildlife space use. In the OneHealth context, having access to an accurate description of habitats can contribute to public health policies, conservation programs and landscape planning projects. The purpose of this work is to propose a workflow for describing and mapping habitats of animal species using existing and available multi-source geographical databases. We focused on the urban red fox in the Métropole du Grand Nancy in France. Our approach was to target a large spatial scale and to model both land use and land cover (LULC) so that to model landscape elements and the associated anthropic opportunities and disturbances. An automatic integration process was defined and applied to the study site in 2007 which corresponds to the period when foxes were monitored. The computed map was assessed by comparing land cover items and geometries with a reference dataset built from visual interpretation of external sources. The geographical locations (latitude, longitude) of red fox recorded in 2006 and 2007 by Global Positioning System (GPS) tracking were analyzed with respect to the computed map. Results indicated consistent space use compared to the literature. Besides, land uses gave different highlights than land covers, especially at night when travelling longer distances. The process was then applied to the study site in the recent year of 2022 in order to locate landscape changes since 2007. It appeared that the changed areas included private and public green spaces and now contain buildings. They were extensively used by the red foxes; hence their living spaces have undergone significant changes. The proposed workflow based on automatic processes and targeting fine spatial scales enabled to map habitats in the various urbanized environments of our study site, at different dates, and to analyze landscape regarding its ecological functions.