Exploring the contribution of environmental factors to evapotranspiration dynamics in the Three-River-Source region, China

蒸散量 环境科学 涡度相关法 叶面积指数 大气科学 蒸汽压差 降水 气候学 生态系统 蒸腾作用 地理 气象学 生态学 地质学 生物 植物 光合作用
作者
Yan Zhao,Yanan Chen,Chaoyang Wu,Li Guo,Mingguo Ma,Lei Fan,Hui Zheng,Lisheng Song,Xuguang Tang
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:626: 130222-130222 被引量:71
标识
DOI:10.1016/j.jhydrol.2023.130222
摘要

Evapotranspiration (ET) exerts substantial effects on terrestrial ecosystem carbon and water cycles. A deep understanding of the spatial and temporal variability in ET and its dominant controls has crucial implications for future ecological management, especially for the ecologically-fragile Three-River-Source region (TRSR) in China. The study examined the performance of three ET products including Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network Land Data Assimilation System (FLDAS) and Global Land Surface Satellite (GLASS) based on eddy covariance-based flux observations. On this basis, ET dynamics in the TRSR from 1982 to 2018 were analyzed at two time scales using the GLASS ET product. Spatially, the pattern in ET showed a gradual upward trend from northwest to southeast. Meanwhile, ET in the majority of regions significantly enhanced, with multiannual mean ET and summer ET (June to August) increasing by 0.609 mm/yr and 0.765 mm/yr, respectively. Especially, ET in summer dominated the interannual dynamics of ET in the TRSR. The individual contributions of five environmental factors including Leaf Area Index (LAI), solar radiation (Rs), air temperature (Ta), precipitation (PRE) and vapour pressure deficit (VPD), to the variability in ET were isolated using ridge regression. Significant differences appeared when explaining ET over different time scales. Rs (33.05 %) and LAI (25.29 %) were the dominant control variables in shaping the interannual ET, with VPD contributing the least by 7.19 %. However, the long-term dynamics in summer ET were mainly controlled by LAI (35.73 %) and PRE (31.19 %), and Ta exerted the least effect by 5.73 %. All analyses will strengthen our understanding of the relationships between climate, vegetation and ET in the TRSR area, China.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Mystic发布了新的文献求助10
1秒前
顺利的怡完成签到,获得积分10
1秒前
1秒前
g3618完成签到,获得积分10
2秒前
科研通AI6.3应助zhangjihui采纳,获得10
2秒前
2秒前
3秒前
AABB发布了新的文献求助10
4秒前
英俊的铭应助刘述采纳,获得10
4秒前
5秒前
ALIEN完成签到,获得积分10
6秒前
6秒前
JamesPei应助蓝02333采纳,获得10
6秒前
xss发布了新的文献求助10
6秒前
呼呼呼完成签到 ,获得积分10
7秒前
深情安青应助王瑞采纳,获得10
7秒前
7秒前
7秒前
卡卡完成签到,获得积分10
7秒前
8秒前
七七发布了新的文献求助10
8秒前
我是老大应助芒果屋采纳,获得10
8秒前
文静板栗完成签到,获得积分10
8秒前
kiss完成签到,获得积分10
8秒前
刘滨冰完成签到,获得积分10
9秒前
可爱的函函应助Long采纳,获得10
9秒前
1123完成签到,获得积分10
10秒前
顾矜应助沉静的晓蓝采纳,获得10
11秒前
付小肥发布了新的文献求助10
12秒前
渠建武发布了新的文献求助10
12秒前
12133121发布了新的文献求助10
12秒前
why发布了新的文献求助10
12秒前
科研通AI6.3应助lc采纳,获得10
13秒前
科研通AI6.4应助lc采纳,获得10
13秒前
13秒前
13秒前
14秒前
倚天万里须长剑完成签到,获得积分10
14秒前
飞快的以山完成签到 ,获得积分10
16秒前
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7293230
求助须知:如何正确求助?哪些是违规求助? 8911952
关于积分的说明 18866898
捐赠科研通 6959988
什么是DOI,文献DOI怎么找? 3209793
关于科研通互助平台的介绍 2379232
邀请新用户注册赠送积分活动 2185816