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
qq发布了新的文献求助10
1秒前
1秒前
汉堡包应助xtt_123采纳,获得10
1秒前
Cuddy完成签到 ,获得积分10
2秒前
ChaPanda发布了新的文献求助10
2秒前
美丽映寒发布了新的文献求助30
2秒前
3秒前
子鱼发布了新的文献求助10
5秒前
5秒前
卡皮巴拉完成签到,获得积分10
5秒前
时尚笑白发布了新的文献求助10
5秒前
所所应助Fright采纳,获得10
5秒前
饲料批发发布了新的文献求助10
5秒前
6秒前
谢春草完成签到,获得积分10
7秒前
淡淡枫发布了新的文献求助30
7秒前
8R60d8应助JF123_采纳,获得10
7秒前
8秒前
马秀丽完成签到,获得积分10
8秒前
完美世界应助bcc666采纳,获得10
9秒前
熊熊发布了新的文献求助10
10秒前
10秒前
大个应助zr采纳,获得10
10秒前
Kao应助candice采纳,获得10
10秒前
拾叁完成签到 ,获得积分10
10秒前
11秒前
11秒前
8R60d8应助wl采纳,获得10
11秒前
chxue发布了新的文献求助100
12秒前
12秒前
lesliewong发布了新的文献求助30
12秒前
13秒前
13秒前
dff完成签到,获得积分10
14秒前
14秒前
科研顺利发布了新的文献求助10
14秒前
风趣元珊完成签到,获得积分20
15秒前
amengptsd发布了新的文献求助20
16秒前
Jack发布了新的文献求助10
16秒前
大模型应助我爱山之东采纳,获得30
17秒前
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 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7519262
求助须知:如何正确求助?哪些是违规求助? 9106836
关于积分的说明 19443358
捐赠科研通 7123734
什么是DOI,文献DOI怎么找? 3254385
关于科研通互助平台的介绍 2422900
邀请新用户注册赠送积分活动 2241272