@article{fdi:010087619,
  title = {restoptr : an {R} package for ecological restoration planning},
  author = {{J}usteau-{A}llaire, {D}imitri and {H}anson, {J}. {O}. and {L}annuzel, {G}. and {V}ismara, {P}. and {L}orca, {X}. and {B}irnbaum, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}cological restoration is essential to curb the decline of biodiversity and ecosystems worldwide. {S}ince the resources available for restoration are limited, restoration efforts must be cost-effective to achieve conservation outcomes. {A}lthough 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. {H}ere, we introduce the restoptr {R} package, a decision support tool designed to identify priority areas for ecological res-toration. {I}t uses constraint programming-an artificial intelligence technique-to identify optimal plans given ecological and socioeconomic constraints. {C}ritically, it can identify strategic locations to enhance connectivity and reduce fragmentation across a broader landscape using complex landscape metrics. {W}e illustrate its usage with a case study in {N}ew {C}aledonia. {B}y applying this tool, we identified priority areas for restoration that could reverse forest fragmentation induced by mining activ-ities in a specific area. {W}e also found that relatively small investments could deliver large returns to restore connectivity. {T}he restoptr {R} package is a free and open-source decision support tool available on the {C}omprehensive {R} {A}rchive {N}etwork (https:// cran.r-project.org/package=restoptr).},
  keywords = {connectivity ; constraint programming ; ecological restoration planning ; fragmentation ; landscape indices ; {R} package ; systematic conservation ; planning ; wildlife corridors ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{R}estoration {E}cology},
  volume = {31},
  numero = {5},
  pages = {e13910 [8 ]},
  ISSN = {1061-2971},
  year = {2023},
  DOI = {10.1111/rec.13910},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087619},
}