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优化景观生态风险评估方法和生态管理区分,考虑到弹性
Jin Wang1, Jinman Wang2, Jianing Zhang1
1School of Land Science and Technology, China University of Geosciences, 29 Xueyuan Road, Haidian District, 100083, Beijing, People's Republic of China.
Journal of environmental management
|February 19, 2025
概括
这项研究利用罗河流域的生态系统服务和弹性 (ER) 优化了景观生态风险 (LER) 评估. 结果显示增加了LER,并为保护和恢复工作提供了生态管理区划的信息.
科学领域:
- 生态风险评估 生态风险评估
- 景观生态学 景观生态学
- 流域管理 流域管理
背景情况:
- 传统的景观生态风险 (LER) 评估模型存在主观性和有限的区分适用性问题.
- 优化LER评估对于有效的生态管理和恢复至关重要.
研究的目的:
- 通过生态系统服务和弹性 (ER) 完善LER评估模型.
- 在罗河流域进行生态管理区划.
- 确定影响LER和ER的关键因素.
主要方法:
- 通过优化分析颗粒度在流域规模上评估LER和ER.
- 分析了LER和ER之间的空间相关性,使用双变的莫兰区分指数进行区分.
- 使用地理探测器来识别影响因素.
主要成果:
- 区域LER从2001年至2021年增加,东部价值较高.
- 随着ER的增加,LER的二次性下降.
- 确定了三个生态管理区:适应,保护和恢复,保护和恢复区正在扩大.
结论:
- 改进的LER模型提供了更客观的评估,并支持生态区划.
- 土地使用类型,海拔和气候是LER和ER的主要驱动因素.
- 这些发现为类似流域的生态管理和恢复提供了宝贵的参考资料.
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