量化自然和人为因素对2010-2021年中国西部边境植被动态的相对重要性
Wenyang Shi1, Ping Lu1, Haoxuan Yang2
1Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, China; College of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Environmental research
|February 14, 2025
概括
中国的植被覆盖面有所改善.
科学领域:
- 生态动力学和保护科学.
- 环境监测和遥感.
- 自然资源的地理空间分析.
背景情况:
- 了解植被动态对于生态保护至关重要,尤其是在脆弱,资源丰富的地区.
- 中国的西部边界是一个生态敏感的地区,需要对植被覆盖面进行有针对性的评估.
- 确定植被变化的关键驱动因素对于有效的环境管理至关重要.
研究的目的:
- 检查2010年至2021年中国西部边境的植被覆盖变化.
- 量化自然和人类驱动因素对植被动态的相对重要性.
- 为该地区的可持续植被管理提供见解.
主要方法:
- 在谷歌地球引擎 (GEE) 上使用了Dimidiate Pixel Model (DPM) 来估计部分植被覆盖面 (FVC).
- 应用Theil-Sen中位数和Mann-Kendall方法进行FVC趋势分析.
- 使用基于最佳参数的地理探测器 (OPGD) 来评估驾驶员的影响.
主要成果:
- 在中国西部的61%以上的植被地区,植被覆盖率有所改善.
- 在新疆,人口密度,土地利用和降雨是关键因素 (Q>0.20).
- 在西,降水,海拔,温度和土地利用是主要的驱动因素 (Q>0.30).
- 自然和人为因素之间的相互作用对FVC产生了重大影响.
结论:
- 在中国西部边境的植被覆盖面大大改善.
- 特定的自然和人为因素在新疆和新疆等地区推动了不同程度的植被变化.
- 了解这些驱动因素及其相互作用对于有针对性的保护和可持续管理策略至关重要.
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