Bidirectional dependency between vegetation and terrestrial water storage in China

归一化差异植被指数 增强植被指数 植被(病理学) 环境科学 干旱 背景(考古学) 陆地生态系统 滞后 生态系统 自然地理学 气候学 气候变化 地质学 植被指数 生态学 地理 海洋学 计算机科学 生物 病理 医学 古生物学 计算机网络
作者
Jianyong Xiao,Binggeng Xie,Kaichun Zhou,Chao Liang,Junhan Li,Jing Xie,Xuemao Zhang
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:626: 130313-130313 被引量:8
标识
DOI:10.1016/j.jhydrol.2023.130313
摘要

Alterations in water availability strongly impact vegetation growth, and vegetation could affect terrestrial water storage (TWS) by altering surface hydrological processes. Understanding the relationships between vegetation change and terrestrial water conditions in ecosystems is crucial. In the research, the partial correlation was implemented to identify time-lag effects and revealed a non-linear interaction between TWS and the normalized difference vegetation index (NDVI) using the Granger causality approach. The results showed that most vegetation in China underwent significant greening from January 2003 to December 2020, and TWS showed a spatial distribution pattern of increasing in the south and decreasing in the north. TWS and NDVI both had significant mutual lag responses. The proportion of the area with a significant correlation between TWS and NDVI increased from 42 % to 63 % after considering the time-lag effect. NDVI was generally influenced by TWS, with 55 % of TWS in the vegetation cover of China having a causal effect on NDVI; conversely, two different vegetation greening methods regulated TWS in vegetated areas in China, and > 59 % of TWS changes were dependent on NDVI. The effect of vegetation dynamics on surface hydrological processes may increase with increasing aridity. Determining the existence of Granger causality between NDVI and TWS has significant implications in terms of comprehending the relationships between terrestrial vegetation and water within the context of a changing climate and for the sustainable use of carbon–water cycle ecosystem services.
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