restoptr: an R package for ecological restoration planning

Author:

Justeau‐Allaire Dimitri1ORCID,Hanson Jeffrey O.2,Lannuzel Guillaume3,Vismara Philippe45,Lorca Xavier6,Birnbaum Philippe178

Affiliation:

1. AMAP, CIRAD, CNRS, INRAE, IRD Univ Montpellier Montpellier France

2. Department of Biology Carleton University Ottawa Canada

3. New Caledonia Plant Red List Authority Endemia, Noumea New Caledonia

4. MISTEA, Université Montpellier, INRAE Institut Agro Montpellier Montpellier France

5. LIRMM, Univ Montpellier, CNRS Montpellier France

6. Centre de Génie Industriel IMT Mines Albi Albi France

7. Institut Agronomique néo‐Calédonien (IAC) Nouméa New Caledonia

8. CIRAD, UMR AMAP Montpellier France

Abstract

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 therestoptrR package, a decision support tool designed to identify priority areas for ecological restoration. 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 activities in a specific area. We also found that relatively small investments could deliver large returns to restore connectivity. TherestoptrR package is a free and open‐source decision support tool available on the Comprehensive R Archive Network (https://cran.r-project.org/package=restoptr).

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An assessment of the state of conservation planning in Europe;Philosophical Transactions of the Royal Society B: Biological Sciences;2024-04-08

2. Connectivity conservation planning through deep reinforcement learning;Methods in Ecology and Evolution;2024-02-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3