Detecting the interactions between vegetation greenness and drought globally

植被(病理学) 环境科学 气候学 遥感 气象学 自然地理学 地理 地质学 医学 病理
作者
Ziwei Li,Fubao Sun,Hong Wang,Tingting Wang,Feng Yao
出处
期刊:Atmospheric Research [Elsevier BV]
卷期号:304: 107409-107409 被引量:19
标识
DOI:10.1016/j.atmosres.2024.107409
摘要

Drought changes can profoundly influence vegetation growth while vegetation, in turn, may impact drought by modulating water and energy exchanges between the land and atmosphere. Previous studies have primarily focused on the unidirectional effects of drought on vegetation dynamics. However, the impacts of vegetation on drought and their bidirectional dependencies have remained underexplored. In this paper, we employ the Leaf Area Index (LAI) and two drought indices (the Standardized Precipitation Index, SPI, and, the Standardized Precipitation Evapotranspiration Index, SPEI) to investigate the interaction between vegetation greenness and drought globally over the period 2001 to 2020. The results demonstrate a statistically significant and consistent trend between LAI and SPI (SPEI) in 66.9% (54.01%) of global vegetated lands. SPI commonly displays a 2-month delayed response to LAI, whereas SPEI shows no evident lag, implying a more rapid response of SPEI to LAI compared to SPI. A substantial proportion of global vegetated areas, around 66% for LAI-SPI and 52% for LAI-SPEI, exhibit a significant positive relationship. The Granger causality test reveals a bidirectional causal relationship between vegetation greenness and drought across approximately 20% of global vegetated areas. Vegetation greenness is identified as the Granger cause of SPI (SPEI) in >60% (30%) of global vegetated lands, providing statistical observational evidence indicating that vegetation can influence drought in many regions within terrestrial ecosystems. Interestingly, the ratio of areas where LAI serves as the Granger cause of SPI is more extensive than the corresponding ratio where SPI is identified as the Granger cause of LAI, a pattern opposite to that observed with SPEI. Overall, our investigation into the interactions between vegetation greenness and drought holds significance for enhancing our understanding of land-atmosphere interplays in the context of climate change and contributes to advancing sustainable development for ecosystem services.
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
草莓月亮完成签到,获得积分20
刚刚
cathy发布了新的文献求助50
3秒前
4秒前
科研通AI2S应助安年采纳,获得10
5秒前
6秒前
小马甲应助Veronica Mew采纳,获得10
6秒前
迷人白桃完成签到,获得积分10
6秒前
xingmoumou应助火星采纳,获得10
6秒前
conch发布了新的文献求助20
7秒前
10秒前
fanhuaxuejin发布了新的文献求助10
10秒前
bkagyin应助赵云采纳,获得10
11秒前
QIQ发布了新的文献求助10
11秒前
wh发布了新的文献求助10
11秒前
hansJAMA发布了新的文献求助10
11秒前
快乐代灵完成签到,获得积分10
12秒前
草莓月亮发布了新的文献求助30
15秒前
Jerry发布了新的文献求助20
15秒前
酷波er应助QIQ采纳,获得10
16秒前
16秒前
211TAODOU发布了新的文献求助20
17秒前
17秒前
科研通AI6.3应助Ma_fling采纳,获得10
18秒前
18秒前
19秒前
20秒前
20秒前
Zoe完成签到,获得积分10
20秒前
hai发布了新的文献求助10
22秒前
振子发布了新的文献求助10
22秒前
22秒前
enen发布了新的文献求助10
23秒前
umbrella发布了新的文献求助10
23秒前
高铁发布了新的文献求助10
24秒前
虚幻的涵柏完成签到,获得积分10
24秒前
24秒前
积极的鬼神完成签到 ,获得积分10
24秒前
可爱的梦柏完成签到,获得积分10
24秒前
研友_5Zl9D8完成签到,获得积分10
25秒前
wh完成签到,获得积分20
26秒前
高分求助中
(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
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 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 7494266
求助须知:如何正确求助?哪些是违规求助? 9085715
关于积分的说明 19377521
捐赠科研通 7106130
什么是DOI,文献DOI怎么找? 3249694
关于科研通互助平台的介绍 2419128
邀请新用户注册赠送积分活动 2235418