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利用下一代卫星数据,对长江流域干旱事件的植被反应进行日间分析

Tingyu Li¹, Shaoqiang Wang², Zhuoying Deng¹

¹Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, China; Engineering Technology Innovation Center for Intelligent Monitoring and Spatial Regulation of Land Carbon Sinks, Ministry of Natural Resources, Wuhan, Hubei, China.

The Science of the total environment

|December 27, 2024

概括

干旱等极端气候事件威胁到植被. 新的高分辨率蒸发透气 (ET) 数据揭示了植被.

科学领域:

地球和环境科学地球和环境科学
生态生态学生态生态学
气候科学气候科学

背景情况:

极端气候事件,特别是干旱,对生态系统的功能和弹性产生重大影响.
目前卫星数据的有限时间分辨率阻碍了对植被对气候事件的日间反应的准确监测.
了解植被对干旱的反应对于生态系统管理和气候适应至关重要.

研究的目的:

为长江流域 (YRB) 开发一个高分辨率,每小时连续的蒸发转化 (ET) 数据集.
用先进的卫星数据和建模分析植被对干旱事件的日间反应.
调查干旱期间植被压力和用水效率的驱动因素.

主要方法:

利用ECOSTRESS卫星从2015-2022年每小时生成连续蒸发透气 (HC-ET_ECO) 数据.
采用LightGBM模型来生成数据,并使用标准化降雨-蒸发指数 (SPEI) 来识别干旱.
综合每小时的太阳诱导色素光 (SIF) 数据,以评估植被的光合作用和用水效率反应.

主要成果:

生成的HC-ET_ECO数据集显示与地面和卫星观测有很强的一致性.
确定了干旱时期 (2019年9月至11月,2022年8月至9月),揭示了典型的下午SIF峰值的缺失.
植被对干旱的反应是由高蒸气压差 (VPD) 和低土壤湿度 (SM) 驱动的,导致ET减少,主要是由于温度升高和VPD.

结论:

高分辨率ET数据集增强了对干旱下的植被动态的理解.
在YRB中的植被通过限制水损失来应对干旱,水损失主要受到温度和VPD的影响.
调查结果为气候适应战略和生态系统管理提供了关键的见解,因为气候变化日益增加.

关键词:

日间植被对干旱的反应高分辨率的卫星数据基于SIF的水利用效率效率.太阳引起的叶绿素光 (SIF)长江流域的长江流域

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