时间空间模式,可持续性和NDVI衍生植被动态 (2003-2022) 的主要驱动因素在尼泊尔
Bhaskar Shrestha1,2, Lifu Zhang3,4, Sanjeevan Shrestha5
1State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, North, No. 20 A, Datun Road, Chaoyang District, Beijing, 100101, China.
Environmental monitoring and assessment
|June 10, 2024
概括
尼泊尔 尼泊尔 尼泊尔 尼泊尔 尼泊尔
科学领域:
- 生态科学 生态科学
- 环境监测 环境监测
- 遥感应用 遥感应用
背景情况:
- 植被动态对于尼泊尔的生态可持续性至关重要.
- 了解植被变化的驱动因素对于政策实施至关重要.
- 对于尼泊尔多样化的景观,需要进行长期植被覆盖分析.
研究的目的:
- 分析尼泊尔 (2003-2022) 的时间空间植被覆盖的变化.
- 研究气候和人类活动对植被动态的影响.
- 预测未来的植被趋势,并确定需要保护的地区.
主要方法:
- 使用的MODIS规范差异植被指数 (NDVI) 数据.
- 应用曼-肯德尔测试用于趋势分析和赫斯特指数用于未来的预测.
- 采用皮尔森的相关性,部分导数和残余分析来识别驱动因素.
主要成果:
- 尼泊尔显示了总体上增加的NDVI趋势 (0.0013年−1).
- 80%的植被面积呈现增长趋势,其中28%显著变绿.
- 温度影响较高的海拔地区;降水和人类活动影响较低的海拔地区.
结论:
- 未来的植被趋势预测广泛的绿化,具有积极的人为影响.
- 人类活动是NDVI变异的主要驱动因素,其次是温度和降水.
- 识别退化地区有助于制定有针对性的生态政策和可持续的环境管理.
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