生产力
环境科学
蒸散量
生态系统
引爆点(物理)
蒸汽压差
森林生态学
含水量
大气科学
农林复合经营
气候学
生态学
蒸腾作用
地质学
生物
工程类
宏观经济学
电气工程
经济
光合作用
岩土工程
植物
作者
Dayang Zhao,Zhaoying Zhang,Yongguang Zhang
摘要
Abstract Compound drought‐heatwave (CDHW) events threaten ecosystem productivity and are often characterized by low soil moisture (SM) and high vapor pressure deficit (VPD). However, the relative roles of SM and VPD in constraining forest productivity during CDHWs remain controversial. In the summer of 2022, China experienced a record‐breaking CDHW event (DH2022). Here, we applied satellite remote‐sensing data and meteorological data, and machine‐learning techniques to quantify the individual contributions of SM and VPD to forest productivity variations and investigate their interactions during the development of DH2022. The results reveal that SM, rather than VPD, dominates the forest productivity decline during DH2022. We identified a possible critical tipping point of SM below which forest productivity would quickly decline with the decreasing SM. Furthermore, we illuminated the evolution of SM, VPD, evapotranspiration, forest productivity, and their interactions throughout DH2022. Our findings broaden the understanding of forest response to extreme CDHWs at the ecosystem scale.
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