Justeau-Allaire Dimitri auteur aut IRD Hanson J. O. auteur aut IRD Lannuzel G. auteur aut IRD Vismara P. auteur aut IRD Lorca X. auteur aut IRD Birnbaum P. auteur aut IRD text journalArticle eng text/pdf reformatted digital access Ecological restoration is essential to curb the decline of biodiversity and ecosystems worldwide. Since the resources available for restoration are limited, restoration efforts must be cost-effective to achieve conservation outcomes. Although decision support tools are available to aid in the design of protected areas, little progress has been made to provide such tools for restoration efforts. Here, we introduce the restoptr R package, a decision support tool designed to identify priority areas for ecological res-toration. It uses constraint programming-an artificial intelligence technique-to identify optimal plans given ecological and socioeconomic constraints. Critically, it can identify strategic locations to enhance connectivity and reduce fragmentation across a broader landscape using complex landscape metrics. We illustrate its usage with a case study in New Caledonia. By applying this tool, we identified priority areas for restoration that could reverse forest fragmentation induced by mining activ-ities in a specific area. We also found that relatively small investments could deliver large returns to restore connectivity. The restoptr R package is a free and open-source decision support tool available on the Comprehensive R Archive Network (https:// cran.r-project.org/package=restoptr). specialized connectivity constraint programming ecological restoration planning fragmentation landscape indices R package systematic conservation planning wildlife corridors NOUVELLE CALEDONIE 082 020 021 31 5 e13910 [8 ] 2023 1061-2971 https://www.documentation.ird.fr/hor/fdi:010087619 10.1111/rec.13910 1061-2971 [F B010087619] https://www.documentation.ird.fr/hor/fdi:010087619 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2023-06/010087619.pdf IRD - Base Horizon / Pleins textes 2023-06-30 2026-06-12 fdi:010087619 fre