Multi-objective ecological restoration priority in China: Cost-benefit optimization in different ecological performance regimes based on planetary boundaries

恢复生态学 生态学 背景(考古学) 生态系统服务 环境科学 栖息地 环境资源管理 生态系统 生物多样性 分区 地理 生物 考古 政治学 法学
作者
Xiaochen Zhang,Shiliang Liu,Hua Liu,Fangfang Wang,Yuan Dong,Gang Wu,Yetong Li,Wanting Wang,Lam‐Son Phan Tran,Weiqiang Li
出处
期刊:Journal of Environmental Management [Elsevier]
卷期号:356: 120701-120701
标识
DOI:10.1016/j.jenvman.2024.120701
摘要

In the context of the "United Nations Decade on Ecosystem Restoration", optimizing spatiotemporal arrangements for ecological restoration is an important approach to enhancing overall socioecological benefits for sustainable development. However, against the background of ecological degradation caused by the human use of most natural resources at levels that have approached or exceeded the safe and sustainable boundaries of ecosystems, it is key to explain how to optimize ecological restoration by classified management and optimal total benefits. In response to these issues, we combined spatial heterogeneity and temporal dynamics at the national scale in China to construct five ecological performance regimes defined by indicators that use planetary boundaries and ecological pressures which served as the basis for prioritizing ecological restoration areas and implementing zoning control. By integrating habitat conservation, biodiversity, water supply, and restoration cost constraints, seven ecological restoration scenarios were simulated to optimize the spatial layout of ecological restoration projects (ERPs). The results indicated that the provinces with unsustainable freshwater use, climate change, and land use accounted for more than 25%, 66.7%, and 25%, respectively, of the total area. Only 30% of the provinces experienced a decrease in environmental pressure. Based on the ecological performance regimes, ERP sites spanning the past 20 years were identified, and more than 50% of the priority areas were clustered in regime areas with increased ecological stress. As the restoration area targets doubled (40%) from the baseline (20%), a multi-objective scenario presents a trade-off between expanded ERPs in areas with highly beneficial effects and minimal restoration costs. In conclusion, a reasonable classification and management regime is the basis for targeted restoration. Coordinating multiple objectives and costs in ecological restoration is the key to maximizing socio-ecological benefits. Our study offered new perspectives on systematic and sustainable planning for ecological restoration.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
禾禾发布了新的文献求助10
刚刚
复杂函完成签到,获得积分10
5秒前
2799完成签到,获得积分10
10秒前
王茹梦发布了新的文献求助10
11秒前
禾禾完成签到,获得积分20
11秒前
姬如雪儿完成签到 ,获得积分10
11秒前
可乐完成签到,获得积分10
12秒前
16秒前
20秒前
22秒前
24秒前
啦啦啦发布了新的文献求助10
25秒前
CodeCraft应助禾禾采纳,获得10
28秒前
Zzy完成签到 ,获得积分10
30秒前
34秒前
yumi关注了科研通微信公众号
36秒前
39秒前
ding应助科研通管家采纳,获得10
41秒前
41秒前
SciGPT应助科研通管家采纳,获得10
41秒前
41秒前
yufanhui应助科研通管家采纳,获得30
41秒前
小蘑菇应助科研通管家采纳,获得10
41秒前
小准应助科研通管家采纳,获得10
41秒前
Maestro_S应助科研通管家采纳,获得10
41秒前
Maestro_S应助科研通管家采纳,获得10
41秒前
Maestro_S应助科研通管家采纳,获得10
41秒前
41秒前
41秒前
洁净豌豆完成签到,获得积分20
42秒前
44秒前
李爱国应助tianzhanggong采纳,获得10
45秒前
慕青应助wang5945采纳,获得10
45秒前
啦啦啦完成签到 ,获得积分10
48秒前
48秒前
48秒前
53秒前
萧a发布了新的文献求助10
54秒前
yun发布了新的文献求助30
57秒前
吞花卧酒关注了科研通微信公众号
58秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 700
[Lambert-Eaton syndrome without calcium channel autoantibodies] 520
Pressing the Fight: Print, Propaganda, and the Cold War 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2471257
求助须知:如何正确求助?哪些是违规求助? 2137961
关于积分的说明 5447789
捐赠科研通 1861848
什么是DOI,文献DOI怎么找? 925987
版权声明 562740
科研通“疑难数据库(出版商)”最低求助积分说明 495302