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
蝴蝶变成毛毛虫完成签到 ,获得积分10
刚刚
仁爱冰凡发布了新的文献求助10
刚刚
1秒前
高有财完成签到 ,获得积分10
1秒前
1秒前
小猪发布了新的文献求助30
2秒前
Daaz发布了新的文献求助10
2秒前
河西完成签到,获得积分10
3秒前
sl完成签到,获得积分10
3秒前
3秒前
song完成签到,获得积分10
3秒前
ztt完成签到,获得积分10
4秒前
王汽车完成签到,获得积分10
4秒前
hbq完成签到,获得积分10
4秒前
4秒前
5秒前
暖阳完成签到,获得积分10
5秒前
5秒前
星辰大海应助rosyw采纳,获得30
6秒前
狂野紫丝发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
顾矜应助繁荣的含羞草采纳,获得10
7秒前
pota_o完成签到 ,获得积分10
7秒前
淡泊宁静完成签到 ,获得积分10
8秒前
111发布了新的文献求助10
8秒前
8秒前
8秒前
CodeCraft应助rrr采纳,获得10
8秒前
Akim应助一篇大paper采纳,获得10
8秒前
Akim应助wtt采纳,获得10
9秒前
徐华发布了新的文献求助10
9秒前
明天早起完成签到,获得积分10
9秒前
DarwinZC发布了新的文献求助200
9秒前
悦123456发布了新的文献求助10
9秒前
可爱的函函应助自信山河采纳,获得10
9秒前
调皮的败完成签到,获得积分10
10秒前
专注刺猬完成签到,获得积分10
10秒前
10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
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
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 7657971
求助须知:如何正确求助?哪些是违规求助? 9228509
关于积分的说明 19836259
捐赠科研通 7224635
什么是DOI,文献DOI怎么找? 3280705
关于科研通互助平台的介绍 2440783
邀请新用户注册赠送积分活动 2280532