基于kNDVI的中国北部的植被变异和驱动机制
Zhuxia Xu1,2, Weicheng Liu3, Haiyan Li4
1Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province/Key Laboratory of Arid Climatic Change and Disaster Reduction, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou, 730020, China.
Scientific reports
|August 17, 2025
概括
中国北部的植被覆盖面正在增加,这主要是由于降雨造成的. 研究人员使用核心规范差异植被指数 (kNDVI) 数据和随机森林模型分析了2001-2022年的变化.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 北中国的生态脆弱性需要了解植被动态.
- 植被覆盖的时间和空间变化对于区域生态系统的健康至关重要.
研究的目的:
- 分析2001年至2022年中国北部植被覆盖面的变化.
- 识别和量化这些植被变化背后的驱动因素.
主要方法:
- 用于植物分析的使用的核正常化差异植被指数 (kNDVI) 数据.
- 采用随机森林模型来量化影响因素的贡献.
主要成果:
- 植被覆盖面呈现出一般上升趋势,从西到东增加.
- 降水是主要的驱动因素 (67.9%的贡献),植被反应的滞后期不同.
- 北部的洛斯高原经历了最高的植被增长率.
结论:
- 降水对中国北部的植被覆盖有很大影响.
- 了解植被对气候因素的反应时间是生态系统管理的关键.
- 这些发现支持该地区可持续的生态系统恢复和发展战略.
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