Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia

Justeau-Allaire Dimitri, Vieilledent Ghislain, Rinck Nicolas, Vismara Philippe, Lorca Xavier, Birnbaum Philippe. 2021. Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia. Journal of Applied Ecology, 58 (4) : 744-754.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5061/dryad.p8cz8w9nw / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.4202715 / Url - autres données associées : https://github.com/dimitri-justeau/cote-oubliee-choco-reserve-code

Quartile : Q1, Sujet : BIODIVERSITY CONSERVATION / Quartile : Q1, Sujet : ECOLOGY

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Economie-gestion

Résumé : Curbing habitat loss, reducing fragmentation and restoring connectivity are frequent concerns of conservation planning. In this respect, the incorporation of spatial constraints, fragmentation and connectivity indices into optimization procedures is an important challenge for improving decision support. Here we present a novel optimization approach developed to accurately represent a broad range of conservation planning questions with spatial constraints and landscape indices. Relying on constraint programming, a technique from artificial intelligence based on automatic reasoning, this approach provides both constraint satisfaction and optimality guarantees. We applied this approach in a real case study to support managers of the 'Côte Oubliée – 'Woen Vùù – Pwa Pereeù' provincial park project, in the biodiversity hotspot of New Caledonia. Under budget, accessibility and equitable allocation constraints, we identified restorable areas optimal for reducing forest fragmentation and improving inter‐patch structural connectivity, respectively measured with the effective mesh size and the integral index of connectivity. Synthesis and applications. Our work contributes to more effective and policy‐relevant conservation planning by providing a spatially explicit and problem‐focused optimization approach. By allowing an exact representation of spatial constraints and landscape indices, it can address new questions and ensure whether the solutions will be socio‐economically feasible, through optimality and satisfiability guarantees. Our approach is generic and flexible, thus applicable to a wide range of conservation planning problems, such as ecological restoration planning, reserve or corridor design.

Mots-clés Agrovoc : conservation de la nature, planification, fragmentation de l'habitat, conservation du paysage, restauration environnementale, contrainte, analyse spatiale, écologie, connectivité de l'habitat

Mots-clés géographiques Agrovoc : Nouvelle-Calédonie, France

Mots-clés complémentaires : restauration de l'environnement, écologie de la restauration

Mots-clés libres : Conservation planning, Ecological restoration, Connectivity, Fragmentation, Landcape indices, Constraint programming, Artificial intelligence, New Caledonia

Classification Agris : P01 - Conservation de la nature et ressources foncières
F40 - Écologie végétale
L20 - Écologie animale

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

Auteurs et affiliations

• Justeau-Allaire Dimitri, CIRAD-BIOS-UMR AMAP (FRA) - auteur correspondant
• Vieilledent Ghislain, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-1685-4997
• Rinck Nicolas, Province Sud (NCL)
• Vismara Philippe, Montpellier SupAgro (FRA)
• Lorca Xavier, Ecole des mines d'Albi (FRA)
• Birnbaum Philippe, CIRAD-BIOS-UMR AMAP (NCL)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/597868/)

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