通过网络分析,探索洛斯高原生态系统服务和社会生态因素的相互依存关系
Zhuangzhuang Wang1, Bojie Fu2, Xutong Wu3
1School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
The Science of the total environment
|January 9, 2025
概括
网络分析显示,生态恢复改善了中国洛斯高原的土壤保护和碳封存等关键生态系统服务. 植物生产率是这些社会生态变化的关键驱动力.
科学领域:
- 社会生态系统研究研究社会生态系统研究
- 评估生态系统服务的评估
- 生态学中的网络分析.
背景情况:
- 生态系统服务是由社会生态系统塑造的,但对其管理的网络方法尚未得到充分探索.
- 了解生态系统服务和社会生态因素之间的相互依存关系对于有效管理至关重要.
研究的目的:
- 应用一种新的部分相关性网络方法来分析生态系统服务和社会生态因素.
- 调查2000年至2020年中国洛斯高原生态系统服务及其驱动因素的变化.
主要方法:
- 利用部分相关联网络方法来分析生态系统服务和社会生态因素.
- 进行了中国洛斯高原的案例研究,检查了2000年至2020年的数据.
主要成果:
- 关键的生态系统服务,包括土壤保护,碳捕获和粮食供应,显著改善.
- 供水量呈现出不显著的下降趋势.
- 网络分析发现了复杂的相互依存关系,并强调了工厂生产率作为系统中的关键驱动因素.
结论:
- 部分相关性网络方法为理解复杂的社会生态相互依存提供了一个强大的工具.
- 这些发现为为洛斯高原的生态系统服务管理和政策制定提供了宝贵的见解.
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