亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Temperature contributes more than precipitation to the greening of the Tibetan Plateau during 1982–2019

绿化 植被(病理学) 环境科学 降水 归一化差异植被指数 气候变化 高原(数学) 气候学 自然地理学 增强植被指数 全球变暖 生长季节 大气科学 植被指数 地理 生态学 地质学 气象学 医学 数学分析 数学 病理 生物
作者
Thabo Michael Bafitlhile,Yuanbo Liu
出处
期刊:Theoretical and Applied Climatology [Springer Science+Business Media]
卷期号:147 (3-4): 1471-1488 被引量:10
标识
DOI:10.1007/s00704-021-03882-9
摘要

The Tibetan Plateau (TP) is an ecologically fragile region that is sensitive to climate change. It has a strong influence on the East Asian atmospheric circulation. The vegetation of the TP has experienced changes in its range and abundance, mainly due to global warming. This study provides an in-depth and updated analysis of vegetation change and examines the influence of climate change on the change in vegetation cover (1982–2019). This study used trends, drought index, cross-correlation, coherence, and feature selection methods to examine the relationship between vegetation change and climatic variables (precipitation, temperature, and soil moisture). General greening was a major trend (55.59% and 64.33%) during 1982–2002 and 2003–2019, respectively. Browning accounted for a minor trend (2.86% and 2.73%) during 1982–2002 and 2003–2019. Temperature accounted for 45% and 38% of vegetation greening in 1982–2002 and 2003–2019, respectively, which was twice the greening caused by precipitation for each period. A combined analysis of normalized difference vegetation index (NDVI) and climatic factors using wavelet coherence confirmed that the climatic variables contributed significantly (p < 0.01) to vegetation growth. Vegetation growth strongly responded to temperature with a lag time of 1–5 weeks throughout 1982–2019. Automatic feature engineering (AFE) also revealed that temperature is the most relevant variable for predicting vegetation change. Overall, our analysis suggests that temperature is a critical factor in controlling vegetation growth. The results have substantial implications for identifying ecosystem management measures for climate change adaptation across the TP.

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
田様应助发嗲的鸡采纳,获得10
刚刚
星辰大海应助万事都灵采纳,获得10
4秒前
6秒前
会与不会发布了新的文献求助10
9秒前
痴情的皮皮虾完成签到,获得积分10
12秒前
13秒前
Jason完成签到 ,获得积分10
17秒前
19秒前
21秒前
会与不会完成签到,获得积分20
23秒前
RJ发布了新的文献求助10
26秒前
Kao应助千羽采纳,获得10
29秒前
yexu完成签到,获得积分10
33秒前
wop111完成签到,获得积分0
46秒前
善良鸵鸟发布了新的文献求助20
46秒前
56秒前
发嗲的鸡发布了新的文献求助10
1分钟前
纯真的雁凡完成签到,获得积分10
1分钟前
发嗲的鸡完成签到,获得积分10
1分钟前
何同学完成签到,获得积分10
1分钟前
molihuakai应助Yoeyvol采纳,获得10
1分钟前
Sunvo完成签到,获得积分10
1分钟前
琳io完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
Yoeyvol发布了新的文献求助10
1分钟前
传奇3应助thousandlong采纳,获得10
1分钟前
swslgd完成签到,获得积分10
1分钟前
拼搏的水桃完成签到,获得积分10
1分钟前
1分钟前
StephenChen发布了新的文献求助10
1分钟前
夜雨完成签到 ,获得积分10
1分钟前
万事都灵发布了新的文献求助10
1分钟前
淡定关注了科研通微信公众号
1分钟前
善良鸵鸟完成签到,获得积分10
1分钟前
bkagyin应助科研通管家采纳,获得10
2分钟前
2分钟前
2分钟前
2分钟前
淡定发布了新的文献求助10
2分钟前
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 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 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 7578520
求助须知:如何正确求助?哪些是违规求助? 9158137
关于积分的说明 19592713
捐赠科研通 7161870
什么是DOI,文献DOI怎么找? 3265547
关于科研通互助平台的介绍 2430514
邀请新用户注册赠送积分活动 2256308