Refining intra-patch connectivity measures in landscape fragmentation and connectivity indices

Justeau-Allaire Dimitri, Ibanez Thomas, Vieilledent Ghislain, Lorca Xavier, Birnbaum Philippe. 2024. Refining intra-patch connectivity measures in landscape fragmentation and connectivity indices. Landscape Ecology, 39 (2):24, 18 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.7751397 / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.8399767 / Url - autres données associées : https://github.com/dimitri-justeau/intra

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Résumé : Context: Measuring intra-patch connectivity, i.e. the connectivity within a habitat patch, is important to evaluate landscape fragmentation and connectivity. However, intra-patch connectivity is mainly measured with patch size, which can conceal diverse intra-patch connectivity patterns for similar patch size distributions. Objectives: We suggest a method to refine the intra-patch connectivity component of fragmentation and connectivity indices. This method allows for distinguishing different intra-patch connectivity patterns for similar patch size distributions. Methods: We used normalized patch complexity indices to weight patch size in common fragmentation and connectivity indices. Patch complexity indices included two existing geometrical indices (SHAPE and FRAC), and a new index derived from spatial network analysis, the mean detour index (MDI). We analyzed the behaviours of adjusted fragmentation and connectivity indices theoretically and empirically on both artificial and real landscapes. Results: While maintaining the mathematical properties of fragmentation and connectivity indices, our method could distinguish landscapes with identical patch size distributions but different spatial configurations. The mean detour index had a different response than geometrical indices. This result indicates that, at the patch level, topological complexity can exhibit different patterns from geometrical complexity. Conclusions: Measuring intra-patch connectivity with patch size in fragmentation and connectivity indices cannot distinguish landscapes having similar patch sizes distribution but different spatial configurations. This paper introduces a method to distinguish such patterns relying on geometrical and topological indices and shows to which extent it can impact conservation planning.

Mots-clés Agrovoc : paysage, distribution spatiale, habitat, mesure (activité), fragmentation de l'habitat, modèle mathématique, connectivité de l'habitat

Mots-clés libres : Landscape fragmentation, Landscape connectivity, Landscape indices, Intra-patch connectivity, Within-patch connectivity, Spatial networks, Spatial graphs

Classification Agris : P01 - Conservation de la nature et ressources foncières
E11 - Économie et politique foncières

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Agences de financement hors UE : Institut de Recherche pour le Développement, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Institut Agronomique Néo-Calédonien, Centre National de Recherche Technologique

Projets sur financement : (NCL) Forest fragmentation on ultramafic soils in New Caledonia, (NCL) ADMIRE

Auteurs et affiliations

• Justeau-Allaire Dimitri, Université de Montpellier (FRA) - auteur correspondant
• Ibanez Thomas, Université de Montpellier (FRA)
• Vieilledent Ghislain, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-1685-4997
• Lorca Xavier, Ecole des mines d'Albi (FRA)
• Birnbaum Philippe, CIRAD-BIOS-UMR AMAP (NCL)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/609109/)

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