[基于贝叶斯网络的生态系统服务权衡协同效应强度和空间模式优化:Fenhe河流域的案例研究]
Jin Cai1,2, Xiao-Jian Wei1,2,3, Ping Jiang4
1Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang 330013, China.
Huan jing ke xue= Huanjing kexue
|April 17, 2024
概括
本研究量化了Fenhe河流域的生态系统服务 (ES) 关系,确定了关键驱动因素和最佳恢复区域. 结果指导可持续的生态管理,揭示了水产和碳储存等服务之间的权衡和协同作用.
科学领域:
- 生态经济学生态经济学
- 环境科学环境科学
- 空间分析是一种空间分析.
背景情况:
- 了解生态系统服务 (ESs) 的权衡和协同作用对于Fenhe河流域的生态管理至关重要.
- 关于该地区ES关系的驱动变量和空间优化的研究是有限的.
研究的目的:
- 量化评估2000年和2020年Fenhe河流域六个ES之间的权衡和协同关系的强度.
- 使用贝叶斯网络识别影响这些ESs关系的驱动变量.
- 描述ESs关系优化的空间模式,并确定生态恢复的关键领域.
主要方法:
- 2000年和2020年6个ES (水产,净初级生产率,作物生产率,土壤保护,碳储存,息地质量) 的定量评估.
- 引入生态系统服务权衡协同效应指数 (TSI) 来衡量ES对之间的关系的强度.
- 构建贝叶斯网络以确定驱动变量和灵敏度分析以确定它们的影响.
主要成果:
- 在ES中观察到显著的时空变化,大多数服务随着时间的推移呈现波动性的增加.
- 该 TSI 呈现出明显的空间模式,碳储存集中在周边地区,谷物供应在南北分布的地区.
- 降水,植物根深度和降雨侵蚀被确定为影响水产,土壤保护和息地质量的关键驱动因素.
结论:
- 温,青和县被确定为高价值地区,适合生态恢复的ES的权衡和协同关系,适合生态恢复.
- 该研究提供了对多个ES及其驱动器之间的复杂相互作用的关键见解.
- 这些发现支持为Fenhe河流域制定可持续生态管理政策.
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