推断可扩展的与生产率相关的草原功能多样性,结合现场叶子光谱和Sentinel-2数据
Yujin Zhao1, Zhisheng Wu1,2, Yanping Zhao1
1State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Fundamental research
|January 30, 2026
概括
这项研究表明,Sentinel-2卫星数据可以估计草原的功能多样性及其与生态系统生产力的联系. 叶子光谱数据和现场测量提高了区域监测能力.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 植物特征生态学 植物特征生态学
背景情况:
- 草原中的生物多样性和生态系统生产力是相互关联的,但使用遥感来评估功能多样性 (FD) 是一个挑战.
- 关于草地FD和生产力关系的区域范围研究有限.
研究的目的:
- 为了评估草原FD估计的叶子功能特征的光谱检索.
- 探索FD指数与生态系统生产率之间的多层次关系.
- 使用Sentinel-2卫星数据推断区域草原的FD.
主要方法:
- 收集了叶子光谱数据和功能特征和生产力的现场测量.
- 计算社区加权平均值 (CWM) 和Rao的二次 (RaoQ) 对于FD.
- 应用了部分最小平方回归 (PLSR) 来将光谱数据与Sentinel-2数据的FD和生物质联系起来.
主要成果:
- 叶子光谱预测显示了良好的交叉验证R2值 (0.48-0.81) 的特征.
- 选择的CWM和RaoQ特征在地块 (80%) 和地点 (94%) 层面解释了显著的生态系统生产力.
- 哨兵-2数据有效推断了区域性FD (R2cv = 0.32-0.82) 和生物质 (R2cv = 0.76),除了碳相关的特征.
结论:
- 卫星Sentinel-2的数据与叶子光谱测量相结合,可以监测草原的功能多样性.
- 这种方法增强了对功能多样性和生态系统在区域范围内运作的联系的理解.
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