Estimating hydrological consequences of vegetation greening

•LAI increased significantly up to 72.2% of the whole YRB area in 1981–2018.•Vegetation greening decreased SW and Q, but increased ET in selected catchments.•Sensitivities of the changes in Q and ET to the changes in LAI increased as LAI grows.•Sensitivity of ET and Q to LAI changes increased as the...

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Bibliographic Details
Published in:Journal of hydrology (Amsterdam) 2022-08, Vol.611, p.128018, Article 128018
Main Authors: Luan, Jinkai, Miao, Ping, Tian, Xiaoqiang, Li, Xiaojie, Ma, Ning, Abrar Faiz, Muhammad, Xu, Zhenwu, Zhang, Yongqiang
Format: Article
Language:English
Subjects:
Evapotranspiration
Runoff
Sensitivity analysis
Soil water storage
Vegetation greening
Yellow River Basin
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Summary:•LAI increased significantly up to 72.2% of the whole YRB area in 1981–2018.•Vegetation greening decreased SW and Q, but increased ET in selected catchments.•Sensitivities of the changes in Q and ET to the changes in LAI increased as LAI grows.•Sensitivity of ET and Q to LAI changes increased as the climate became drier. Large-scale afforestation program has alleviated environmental problems to some extent in China. However, the response of hydrological processes to vegetation greening at different catchments remains unclear. This study identified the impact of vegetation changes on runoff (Q), evapotranspiration (ET), and soil water storage (SW), as well as their relationships and sensitivities based on a coupled SWAT-PML model for 23 catchments from 2000 to 2018 in the Yellow River Basin (YRB). Results show that leaf area index (LAI) was significantly (p 
ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2022.128018