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 BV]
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
小爪冰凉发布了新的文献求助30
刚刚
1秒前
漂亮白枫发布了新的文献求助10
1秒前
1秒前
2秒前
2秒前
优雅灵波发布了新的文献求助10
3秒前
kong完成签到,获得积分10
4秒前
4秒前
JJ发布了新的文献求助10
4秒前
幸福大白发布了新的文献求助10
5秒前
6秒前
6秒前
123完成签到,获得积分10
6秒前
Qing完成签到,获得积分10
7秒前
小二郎应助搞笑5次采纳,获得10
7秒前
ZONG发布了新的文献求助20
9秒前
yyyyyyy发布了新的文献求助10
10秒前
勤奋幻柏发布了新的文献求助10
10秒前
why359发布了新的文献求助10
11秒前
11秒前
12秒前
13秒前
hahah完成签到,获得积分10
15秒前
伶俐绿柏发布了新的文献求助10
17秒前
狸宝的小果子完成签到 ,获得积分10
17秒前
汉堡包应助wzc采纳,获得10
17秒前
深情安青应助刀锋采纳,获得10
18秒前
Lc应助古月采纳,获得10
19秒前
why359完成签到,获得积分10
19秒前
19秒前
20秒前
一个醇祝关注了科研通微信公众号
20秒前
21秒前
luanzhaohui发布了新的文献求助50
23秒前
充电宝应助Kail采纳,获得20
23秒前
西NO米娅完成签到,获得积分10
24秒前
24秒前
27秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989450
求助须知:如何正确求助?哪些是违规求助? 3531621
关于积分的说明 11254315
捐赠科研通 3270207
什么是DOI,文献DOI怎么找? 1804928
邀请新用户注册赠送积分活动 882105
科研通“疑难数据库(出版商)”最低求助积分说明 809176