Soil moisture determines the recovery time of ecosystems from drought

环境科学 生态系统 含水量 气候变化 土壤科学 水文学(农业) 生态学 地质学 生物 岩土工程
作者
Yao Ying,Yanxu Liu,Sha Zhou,Jiaxi Song,Bojie Fu
出处
期刊:Global Change Biology [Wiley]
卷期号:29 (13): 3562-3574 被引量:132
标识
DOI:10.1111/gcb.16620
摘要

Recovery time, the time it takes for ecosystems to return to normal states after experiencing droughts, is critical for assessing the response of ecosystems to droughts; however, the spatial dominant factors determining recovery time are poorly understood. We identify the global patterns of terrestrial ecosystem recovery time based on remote sensed vegetation indices, analyse the affecting factors of recovery time using random forest regression model, and determine the spatial distribution of the dominant factors of recovery time based on partial correlation. The results show that the global average recovery time is approximately 3.3 months, and that the longest recovery time occurs in mid-latitude drylands. Analysis of affecting factors of recovery time suggests that the most important environmental factor affecting recovery time is soil moisture during the recovery period, followed by temperature and vapour pressure deficit (VPD). Recovery time shortens with increasing soil moisture and prolongs with increasing VPD; however, the response of recovery time to temperature is nonmonotonic, with colder or hotter temperatures leading to longer recovery time. Soil moisture dominates the drought recovery time over 58.4% of the assessed land area, mostly in the mid-latitudes. The concern is that soil moisture is projected to decline in more than 65% regions in the future, which will lengthen the drought recovery time and exacerbate drought impacts on terrestrial ecosystems, especially in southwestern United States, the Mediterranean region and southern Africa. Our research provides methodological insights for quantifying recovery time and spatially identifies dominant factors of recovery time, improving our understanding of ecosystem response to drought.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Lau完成签到,获得积分10
刚刚
刚刚
SunK1876完成签到,获得积分10
刚刚
ying完成签到,获得积分10
刚刚
神奇的海螺完成签到,获得积分10
1秒前
张凡完成签到 ,获得积分10
2秒前
min完成签到,获得积分20
3秒前
哈哈小米完成签到,获得积分10
4秒前
阿宝完成签到,获得积分10
5秒前
yoyo完成签到,获得积分10
6秒前
嘿哈完成签到,获得积分10
7秒前
安静无招完成签到 ,获得积分10
7秒前
科目三应助可爱天川采纳,获得10
7秒前
leezh完成签到 ,获得积分10
8秒前
8秒前
haibing完成签到,获得积分10
9秒前
9秒前
超级纸飞机完成签到 ,获得积分10
9秒前
wangwang完成签到,获得积分10
9秒前
9秒前
陈俊彰完成签到,获得积分10
9秒前
遮宁完成签到,获得积分10
10秒前
半斤完成签到,获得积分20
10秒前
健壮的秋寒完成签到,获得积分10
10秒前
10秒前
花生米完成签到,获得积分10
10秒前
鲤鱼青雪完成签到,获得积分10
11秒前
11秒前
不会取名啊完成签到,获得积分10
12秒前
12秒前
ye完成签到,获得积分10
12秒前
ff0110完成签到,获得积分10
12秒前
esome发布了新的文献求助10
13秒前
吴彦祖发布了新的文献求助10
13秒前
bolin发布了新的文献求助10
14秒前
林林完成签到,获得积分10
15秒前
超级的鹅完成签到,获得积分10
15秒前
baolong完成签到,获得积分10
15秒前
重要的小刘完成签到,获得积分10
15秒前
斯文的人生完成签到,获得积分10
16秒前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 500
Maritime Applications of Prolonged Casualty Care: Drowning and Hypothermia on an Amphibious Warship 500
Comparison analysis of Apple face ID in iPad Pro 13” with first use of metasurfaces for diffraction vs. iPhone 16 Pro 500
Towards a $2B optical metasurfaces opportunity by 2029: a cornerstone for augmented reality, an incremental innovation for imaging (YINTR24441) 500
Materials for Green Hydrogen Production 2026-2036: Technologies, Players, Forecasts 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4061661
求助须知:如何正确求助?哪些是违规求助? 3600275
关于积分的说明 11433299
捐赠科研通 3323815
什么是DOI,文献DOI怎么找? 1827483
邀请新用户注册赠送积分活动 897954
科研通“疑难数据库(出版商)”最低求助积分说明 818774