[草原退化的空间时空进化模式及其在洛斯高原的驱动因素]
Xiao Bai1, Qian-Xiang Huang1, Dan Tian2
1College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China.
Huan jing ke xue= Huanjing kexue
|April 15, 2025
概括
洛斯高原的草原退化自2000年以来适度下降,主要是由于降水和相对湿度. 这项研究量化了长期的时空模式和推动可持续植被管理的驱动因素.
科学领域:
- 生态恢复和环境科学.
- 生态系统动态的时空分析.
- 环境监测中的遥感应用.
背景情况:
- 自然再生是洛斯高原植被恢复的关键策略.
- 缺乏对长期草原退化模式和驱动因素的精确量化.
- 了解草原动态对于有效的生态恢复至关重要.
研究的目的:
- 分析1986年至2021年洛斯高原草原退化的时空模式.
- 确定影响草原退化的主要驱动因素.
- 为可持续的植被管理提供数据驱动的框架.
主要方法:
- 使用了高级非常高分辨率放射仪 (AVHRR) 和中等分辨率成像光谱放射仪 (MODIS) 的标准化差异植被指数 (NDVI) 数据.
- 使用谷歌地球引擎 (GEE) 来处理和分析数据.
- 应用草原退化指数和时空统计分析.
主要成果:
- 观察到温和的草原退化,降低了退化面积和2000年后的指数.
- 在降解趋势中显著的空间异质性,整体降低了植被后恢复.
- 气象因素,特别是降水 (45.8%) 和相对湿度 (21.7%),解释了80%的降解差异.
结论:
- 洛斯高原的草原退化自2000年以来呈现下降趋势.
- 降水和相对湿度是草原退化的主要驱动因素.
- 这些发现支持了在洛斯高原可持续植被管理的科学方法.
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