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 Nature]
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
1秒前
风花雪月完成签到,获得积分10
1秒前
本色小杆子完成签到 ,获得积分10
2秒前
求助人员发布了新的文献求助30
2秒前
生动丸子完成签到 ,获得积分10
4秒前
波波鱼应助wweq采纳,获得50
5秒前
5秒前
666完成签到 ,获得积分10
6秒前
成熟发布了新的文献求助10
7秒前
8秒前
8秒前
在水一方应助满意的烨磊采纳,获得10
8秒前
holly完成签到 ,获得积分10
8秒前
小小余发布了新的文献求助10
8秒前
9秒前
wanci应助美丽的如彤采纳,获得10
9秒前
Summer发布了新的文献求助10
9秒前
10秒前
zbclzf完成签到,获得积分10
10秒前
姜水完成签到,获得积分10
10秒前
Aiden发布了新的文献求助10
10秒前
NiNi完成签到,获得积分10
12秒前
钱学森发布了新的文献求助10
12秒前
lgold完成签到,获得积分10
12秒前
狂野问梅关注了科研通微信公众号
13秒前
氯化氢发布了新的文献求助10
13秒前
xingqing完成签到 ,获得积分10
14秒前
wang发布了新的文献求助10
14秒前
14秒前
科研通AI6.3应助成熟采纳,获得10
15秒前
风吹草动玉米粒完成签到,获得积分10
15秒前
15秒前
科研通AI6.1应助ABCD采纳,获得10
15秒前
慕青应助siweijie采纳,获得10
16秒前
打打应助FleurdelisDZhang采纳,获得10
17秒前
getra完成签到,获得积分20
18秒前
NexusExplorer应助任性雨柏采纳,获得10
19秒前
天天快乐应助满意的烨磊采纳,获得10
19秒前
20秒前
21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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022313
求助须知:如何正确求助?哪些是违规求助? 7640879
关于积分的说明 16168732
捐赠科研通 5170389
什么是DOI,文献DOI怎么找? 2766748
邀请新用户注册赠送积分活动 1749987
关于科研通互助平台的介绍 1636818