Assessing vegetation resilience and vulnerability to drought events in Central Asia

脆弱性(计算) 植被(病理学) 弹性(材料科学) 自然地理学 环境科学 地理 地质学 气候学 水文学(农业) 计算机科学 医学 物理 计算机安全 岩土工程 病理 热力学
作者
Liangliang Jiang,Bing Liu,Hao Guo,Ye Yuan,Wenli Liu,Guli Jiapaer
出处
期刊:Journal of Hydrology [Elsevier]
卷期号:634: 131012-131012 被引量:33
标识
DOI:10.1016/j.jhydrol.2024.131012
摘要

Extreme drought events in Central Asia are becoming increasingly frequent, causing further harm to the vegetation in this region. It is essential to comprehend how vegetation continually responds to extreme drought events, focusing on both resistance and recovery aspects. To address this, based on the run theory, the study quantified drought characteristics for drought events affecting vegetation. Then, vegetation resistance and resilience to drought events were assessed by adopting a 'resistance–resilience' framework. Further analysis evaluated vegetation vulnerability to drought events by considering both vegetation resistance and resilience. The impact of different drought features on vegetation vulnerability to drought events was quantified using the boosted regression tree (BRT) model. The results showed that rainfed croplands in Northern Kazakhstan exhibited low resistance to drought events, while sparse vegetation in southern Central Asia displayed higher resistance compared to the other land covers. Moreover, natural vegetation demonstrated a longer resistance time compared to croplands. However, the opposite pattern was observed for vegetation resilience, with croplands and sparse vegetation showing high and low resilience, respectively. Sparse vegetation had a longer recovery time compared to croplands. Notably, the Amu Darya delta exhibited vegetation with low resistance and resilience. Furthermore, the study revealed that vegetation resilience in arid areas was more sensitive to dryness compared to humid areas. Regarding vegetation vulnerability to drought events, vegetation in southern region experienced low vulnerability. In contrast, croplands and grasslands around the Aral Sea showed high vulnerability. Most vegetation in the semi-arid zone was more susceptible to the negative impacts of drought events, particularly in croplands and grasslands, compared to other climate zones. The BRT model revealed that drought duration was found to be the primary factor influencing vegetation vulnerability to drought events, accounting for approximately 40% of the explanation in the model. The influences of drought duration on vegetation vulnerability intensified from forests (28.17%) to sparse vegetation (55.87%). The number of drought events contributed only approximately 5% of the explanation. With an understanding of vegetation resilience and vulnerability, policymakers and land managers can make informed decisions and implement measures to mitigate the negative effects of drought, protect fragile vegetation, and promote sustainable management practices in Central Asia.
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
1秒前
缝纫工发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助10
1秒前
2秒前
情怀应助欢呼的开山采纳,获得10
3秒前
3秒前
马放南山发布了新的文献求助10
4秒前
幽默小虾米完成签到,获得积分10
4秒前
4秒前
Owen应助洁净青筠采纳,获得10
4秒前
忧心的寒蕾完成签到,获得积分20
4秒前
4秒前
自觉的契发布了新的文献求助10
5秒前
香芋派完成签到,获得积分10
6秒前
紫轩完成签到,获得积分10
6秒前
积极毛巾发布了新的文献求助10
6秒前
Shixin发布了新的文献求助10
6秒前
Om发布了新的文献求助10
7秒前
cl发布了新的文献求助10
7秒前
程雪霞发布了新的文献求助10
8秒前
yu发布了新的文献求助10
8秒前
PaulLao完成签到,获得积分10
9秒前
9秒前
Shannon完成签到,获得积分10
9秒前
今夕发布了新的文献求助10
9秒前
Cheney完成签到,获得积分10
10秒前
tt发布了新的文献求助10
11秒前
咖喱姜酱发布了新的文献求助10
11秒前
汉堡包应助科研民工采纳,获得10
11秒前
nasa应助缝纫工采纳,获得10
12秒前
浮游应助科研通管家采纳,获得10
12秒前
浮游应助科研通管家采纳,获得10
12秒前
李爱国应助科研通管家采纳,获得10
12秒前
充电宝应助科研通管家采纳,获得10
12秒前
青葙完成签到,获得积分10
12秒前
pluto应助科研通管家采纳,获得10
12秒前
12秒前
过时的孤晴完成签到 ,获得积分10
12秒前
CodeCraft应助科研通管家采纳,获得10
13秒前
传奇3应助科研通管家采纳,获得10
13秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Advanced Memory Technology: Functional Materials and Devices 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5692886
求助须知:如何正确求助?哪些是违规求助? 5090698
关于积分的说明 15210088
捐赠科研通 4850102
什么是DOI,文献DOI怎么找? 2601504
邀请新用户注册赠送积分活动 1553332
关于科研通互助平台的介绍 1511381