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Updated: Jun 29, 2025

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中国的多目标生态恢复优先:基于行星边界的不同生态绩效制度的成本效益优化
Yifei Zhao1, Shiliang Liu1, Hua Liu1
1State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
Journal of environmental management
|March 26, 2024
概括
优化中国的生态恢复需要基于生态绩效制度的分类管理和区分. 协调多个目标和成本是最大限度地实现可持续发展的社会生态效益的关键.
科学领域:
- 恢复生态系统恢复生态系统
- 可持续的发展 可持续的发展
- 社会生态系统社会生态系统
背景情况:
- 全球生态系统面临着由于超越行星边界的不可持续的资源使用而导致的退化.
- 优化生态恢复对于可持续发展和增强社会生态效益至关重要.
- 分类管理和效益优化是有效的生态恢复战略的关键.
研究的目的:
- 构建生态绩效制度,以优先考虑恢复区域,并实施中国的区分控制.
- 通过整合各种约束来模拟和优化生态恢复项目 (ERP) 的空间布局.
- 确定恢复区域扩张,生态效益和成本之间的权衡.
主要方法:
- 在国家范围内结合空间异质性和时间动态.
- 使用行星边界和生态压力指标开发了五种生态性能制度.
- 模拟了七个生态恢复场景,整合了息地保护,生物多样性,供水和恢复成本.
主要成果:
- 中国的大部分地区面临不可持续的淡水使用 (25%),气候变化 (66.7%) 和土地使用 (25%).
- 超过50%的优先ERP地点位于生态压力增加的地区.
- 一个多目标场景显示,扩大修复面积和尽量降低成本之间的权衡.
结论:
- 机密管理制度对于有针对性的生态恢复至关重要.
- 协调多个目标和成本对于最大限度地提高社会生态效益至关重要.
- 该研究提供了可持续生态恢复规划的系统方法.
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