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
Dzinver发布了新的文献求助10
1秒前
yuyanyu发布了新的文献求助10
2秒前
小巧冬萱完成签到,获得积分10
5秒前
任伟超完成签到,获得积分10
6秒前
7秒前
Lucas应助研友_楼灵煌采纳,获得10
15秒前
和谐的果汁完成签到,获得积分20
17秒前
Ygy完成签到 ,获得积分10
18秒前
深味i完成签到,获得积分10
19秒前
19秒前
乐乐应助饱满冰安采纳,获得10
19秒前
24秒前
Kayoko发布了新的文献求助10
24秒前
25秒前
温特完成签到 ,获得积分10
26秒前
27秒前
zhang005on完成签到 ,获得积分10
27秒前
27秒前
AAA完成签到,获得积分10
28秒前
28秒前
伊萨卡发布了新的文献求助10
30秒前
30秒前
研友_VZG7GZ应助兴奋的风华采纳,获得10
31秒前
独木邓发布了新的文献求助10
31秒前
Eileen完成签到,获得积分10
31秒前
dkx发布了新的文献求助10
32秒前
封尘逸动发布了新的文献求助10
33秒前
FLO发布了新的文献求助10
33秒前
33秒前
33秒前
等待的莫茗完成签到,获得积分10
35秒前
风趣的芒果完成签到,获得积分10
35秒前
墨1234lr应助2075采纳,获得10
37秒前
LingC完成签到,获得积分10
38秒前
39秒前
SARAH完成签到,获得积分10
41秒前
43秒前
45秒前
FLO完成签到,获得积分10
47秒前
49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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353638
求助须知:如何正确求助?哪些是违规求助? 8168674
关于积分的说明 17193853
捐赠科研通 5409761
什么是DOI,文献DOI怎么找? 2863802
邀请新用户注册赠送积分活动 1841171
关于科研通互助平台的介绍 1689915