Coupling water cycle processes with water demand routes of vegetation using a cascade causal modeling approach in arid inland basins

植被(病理学) 环境科学 蒸散量 地表径流 水文学(农业) 水循环 干旱 水资源 地质学 生态学 医学 生物 病理 古生物学 岩土工程
作者
Ruiyuan Hu,Yimin Wang,Jianxia Chang,Erkan İstanbulluoğlu,Aijun Guo,Xuejiao Meng,Zhehao Li,Bing He,Yuexin Zhao
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:840: 156492-156492 被引量:20
标识
DOI:10.1016/j.scitotenv.2022.156492
摘要

Vegetation degradation is the key cause of land desertification in arid areas. Water stress is one of the most critical factors leading to vegetation degradation. The water needed for vegetation growth is inseparable from the water cycle processes. It is a new scope to reveal the vegetation water demand mechanisms from the water cycle processes. Water cycle processes in arid inland basins can be conceptually separated as RFA (runoff formation area) and RCA (runoff consumption area). In this study, both the water demand mechanisms of natural vegetation and farmland were discovered by creatively constructing the vegetation water demand route model. The TRB (Tarim River Basin), a typical arid inland basin system that RFA is separated from RCA, is considered as the study area. The tendency and relevance of water cycle factors and NDVI were detected. The dominant factors of vegetation growth were identified. According to the interaction causality of water cycle factors and vegetation, the PLS-SEM (partial least squares structural equation models) were constructed in RFA and RCA. Results displayed that SMroot (root-zone soil moisture), groundwater and precipitation were the dominant water sources for natural vegetation in RFA. The water demand for natural vegetation in RCA mainly came from SMroot and that for farmland mainly came from SMsurf (surface soil moisture). New findings showed that blue and green water circulations were more active in RFA than in RCA. Natural vegetation had better adaptability and resilience to water shortages compared with farmland. The higher effect of vegetation on AET (actual evapotranspiration) denoted the better growth status. It is contributed to the rational utilization of water resources in arid basins.
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
Trent发布了新的文献求助10
1秒前
1秒前
秋天的雪完成签到,获得积分10
2秒前
嫤姝完成签到,获得积分10
2秒前
好学的泷泷完成签到 ,获得积分10
3秒前
3秒前
tt发布了新的文献求助10
3秒前
3秒前
不会飞的鱼完成签到 ,获得积分10
4秒前
shanshan3000完成签到,获得积分10
4秒前
4秒前
Bin完成签到,获得积分10
4秒前
5秒前
危机的百褶裙完成签到,获得积分10
5秒前
SciGPT应助只想发财采纳,获得10
6秒前
科研通AI6.4应助豆豆采纳,获得10
6秒前
ykkd完成签到,获得积分20
6秒前
yuki发布了新的文献求助10
7秒前
英俊的铭应助玉鱼儿采纳,获得10
7秒前
ENJ发布了新的文献求助10
7秒前
TAOS完成签到,获得积分10
7秒前
NiNi发布了新的文献求助10
8秒前
cby完成签到 ,获得积分10
8秒前
11完成签到,获得积分10
8秒前
幸福乐蕊完成签到,获得积分10
8秒前
9秒前
9秒前
刘勇完成签到,获得积分10
9秒前
redpanda1103完成签到,获得积分10
9秒前
ming完成签到,获得积分10
9秒前
ChrisYang完成签到,获得积分10
9秒前
傲娇的天真完成签到,获得积分10
9秒前
Moyee完成签到,获得积分10
10秒前
羊青丝完成签到,获得积分10
10秒前
心灵美的大叔完成签到,获得积分10
10秒前
黑色卡布奇诺完成签到,获得积分10
10秒前
binghe411完成签到,获得积分10
10秒前
Trent完成签到,获得积分10
10秒前
ccx完成签到,获得积分10
11秒前
勤恳的板凳完成签到 ,获得积分10
11秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 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 7506487
求助须知:如何正确求助?哪些是违规求助? 9095663
关于积分的说明 19406852
捐赠科研通 7113853
什么是DOI,文献DOI怎么找? 3251836
关于科研通互助平台的介绍 2421122
邀请新用户注册赠送积分活动 2237860