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自然恢复的系统性保护规划。

Systematic conservation planning for nature recovery.

作者信息

Baker David J, Gaston Kevin J, Metcalfe Kristian, Maclean Ilya M D

机构信息

Environment and Sustainability Institute.

Centre for Ecology and Conservation, University of Exeter, Penryn, Cornwall, England, United Kingdom.

出版信息

Bioscience. 2025 Apr 23;75(6):472-489. doi: 10.1093/biosci/biaf030. eCollection 2025 Jun.

DOI:10.1093/biosci/biaf030
PMID:40808994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12342869/
Abstract

Nature conservation is increasingly focused on recovering depleted populations and ecosystems. The United Nations General Assembly has proclaimed 2021-2030 the UN Decade on Ecosystem Restoration, and global commitments to ecosystem restoration in response to biodiversity, climate, and sustainable development targets are now considerable, with over 100 nations committed to halting and reversing forest loss and land degradation by 2030. The impacts of these resources on nature recovery will depend on how actions are identified and implemented. Systematic conservation planning has historically been used to prioritize areas for protection but has shown great potential to guide nature recovery actions that are underpinned by principles of spatial conservation planning. In the present article, we advocate for systematic conservation planning to target resources for nature recovery and show how well-established systematic conservation planning frameworks can be developed appropriately, particularly by integrating models for forecasting ecological, social, and economic conditions with spatial prioritization methods designed to target nature recovery resources.

摘要

自然保护越来越注重恢复枯竭的种群和生态系统。联合国大会宣布2021年至2030年为联合国生态系统恢复十年,目前,为响应生物多样性、气候和可持续发展目标而做出的全球生态系统恢复承诺相当可观,超过100个国家致力于到2030年停止并扭转森林流失和土地退化。这些资源对自然恢复的影响将取决于行动的确定和实施方式。系统保护规划在历史上一直用于确定保护区域的优先次序,但已显示出巨大潜力,可指导基于空间保护规划原则的自然恢复行动。在本文中,我们主张采用系统保护规划来确定自然恢复资源的目标,并展示如何适当地开发完善的系统保护规划框架,特别是通过将预测生态、社会和经济状况的模型与旨在确定自然恢复资源目标的空间优先排序方法相结合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/ba3856d68dd0/biaf030fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/bd3aa46926c0/biaf030fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/49fc64819542/biaf030fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/26295735ed8f/biaf030fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/ba3856d68dd0/biaf030fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/bd3aa46926c0/biaf030fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/49fc64819542/biaf030fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/26295735ed8f/biaf030fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b9/12342869/ba3856d68dd0/biaf030fig4.jpg

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本文引用的文献

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Bioscience. 2023 Jul 19;73(7):522-532. doi: 10.1093/biosci/biad046. eCollection 2023 Jul.
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Systematic conservation prioritization with the prioritizr R package.使用prioritizr R包进行系统的保护优先级排序。
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Demystifying ecological connectivity for actionable spatial conservation planning.为可操作性的空间保护规划揭开生态连通性的神秘面纱。
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Policy responses to the Ukraine crisis threaten European biodiversity.对乌克兰危机的政策应对威胁到欧洲生物多样性。
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