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优化恢复:一种整体空间方法,旨在在最小的权衡和最大的公平性下为人类提供自然的贡献。

Optimizing restoration: A holistic spatial approach to deliver Nature's Contributions to People with minimal tradeoffs and maximal equity.

机构信息

Department of Geography, University of Exeter, Exeter EX4 4QE, United Kingdom.

Biodiversity and Natural Resources Program, International Institute of Applied Systems Analyses, Laxenburg A-2361, Austria.

出版信息

Proc Natl Acad Sci U S A. 2024 Aug 20;121(34):e2402970121. doi: 10.1073/pnas.2402970121. Epub 2024 Aug 12.

Abstract

Ecosystem restoration is inherently a complex activity with inevitable tradeoffs in environmental and societal outcomes. These tradeoffs can potentially be large when policies and practices are focused on single outcomes versus joint achievement of multiple outcomes. Few studies have assessed the tradeoffs in Nature's Contributions to People (NCP) and the distributional equity of NCP from forest restoration strategies. Here, we optimized a defined forest restoration area across India with systematic conservation planning to assess the tradeoffs between three NCP: i) climate change mitigation NCP, ii) biodiversity value NCP (habitat created for forest-dependent mammals), and iii) societal NCP (human direct use of restored forests for livelihoods, housing construction material, and energy). We show that restoration plans aimed at a single-NCP tend not to deliver other NCP outcomes efficiently. In contrast, integrated spatial forest restoration plans aimed at achievement of multiple outcomes deliver on average 83.3% (43.2 to 100%) of climate change mitigation NCP, 89.9% (63.8 to 100%) of biodiversity value NCP, and 93.9% (64.5 to 100%) of societal NCP delivered by single-objective plans. Integrated plans deliver NCP more evenly across the restoration area when compared to other plans that identify certain regions such as the Western Ghats and north-eastern India. Last, 38 to 41% of the people impacted by integrated spatial plans belong to socioeconomically disadvantaged groups, greater than their overall representation in India's population. Moving ahead, effective policy design and evaluation integrating ecosystem protection and restoration strategies can benefit from the blueprint we provide in this study for India.

摘要

生态系统恢复本质上是一项复杂的活动,其环境和社会成果存在不可避免的权衡。当政策和实践侧重于单一成果而不是共同实现多个成果时,这些权衡可能会很大。很少有研究评估过自然对人类的贡献(NCP)的权衡以及森林恢复策略的 NCP 的分配公平性。在这里,我们通过系统保护规划对印度的一个定义明确的森林恢复区进行了优化,以评估三种 NCP 之间的权衡:i)减缓气候变化的 NCP,ii)生物多样性价值 NCP(为森林依赖型哺乳动物创造的栖息地),和 iii)社会 NCP(人类直接利用恢复的森林获得生计、住房建筑材料和能源)。我们表明,旨在实现单一 NCP 的恢复计划往往不能有效地提供其他 NCP 成果。相比之下,旨在实现多个成果的综合空间森林恢复计划平均可实现气候变化减缓 NCP 的 83.3%(43.2 到 100%)、生物多样性价值 NCP 的 89.9%(63.8 到 100%)和社会 NCP 的 93.9%(64.5 到 100%)。与其他确定特定地区(如西高止山脉和印度东北部)的计划相比,综合计划在恢复区域内更均匀地提供 NCP。最后,38%至 41%受综合空间计划影响的人属于社会经济弱势群体,超过了他们在印度总人口中的总体代表性。在前进的过程中,将生态系统保护和恢复策略有效整合的政策设计和评估可以从我们在这项研究中为印度提供的蓝图中受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7c3/11348303/a256e3dc8134/pnas.2402970121fig01.jpg

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