Spatiotemporal Variation of Vegetation Greenness and Its Response to Extreme Climate Events: A Case Study of the Central Yunnan Urban Agglomeration, China

作者
Zhongzhi Zhang,Guoping Chen,Junsan Zhao,Haibo Yang
出处
期刊:Land Degradation & Development [Wiley]
标识
DOI:10.1002/ldr.70297
摘要

ABSTRACT In recent years, the frequency of extreme climate events has risen significantly, exerting profound effects on both terrestrial ecosystems and human well‐being. The Central Yunnan Urban Agglomeration, an ecologically sensitive region, is especially vulnerable to these changes. This study, conducted using the Google Earth Engine (GEE) platform, utilizes trend analysis, Hurst exponent evaluation, correlation analysis, and random forest modeling to explore the spatiotemporal dynamics of vegetation greenness in the region and its response to extreme climate events. The main results are as follows: (1) From 2000 to 2022, vegetation greenness showed significant improvement with an annual growth rate of 0.003 ( R 2 = 0.69). Over half of the study area exhibited increasing trends across temporal scales, and a general upward trend over the past two decades, despite spring values being consistently lower than other seasons and low‐value areas concentrating in the eastern region and urban peripheries. (2) Vegetation stability was relatively low, with one‐third of areas showing high interannual variability and two‐thirds exhibiting high seasonal variability. (3) The annual mean Hurst index values were all below 0.5, with over 60% displaying anti‐persistent increasing trends, suggesting that while the overall trend may continue to rise, future patterns could differ from the past. (4) Vegetation greenness was primarily influenced by extreme temperatures, which had a far greater impact than precipitation events. The key factors identified for vegetation changes were consecutive dry days (CDD), extreme precipitation (R95p), and temperature extremes (TN90p, TX10p, TX90p), each accounting for over 30% of the changes. In conclusion, this study reveals the complex ecological dynamic of concurrent “vegetation growth and vulnerability,” providing a scientific basis for formulating ecosystem conservation and restoration policies in the region.
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
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
3秒前
文静的夜梅的应助被nini采纳,获得10
3秒前
武睿婧完成签到,获得积分10
3秒前
3秒前
可爱巨人发布了新的文献求助10
4秒前
5433发布了新的文献求助10
6秒前
Arafat完成签到,获得积分10
6秒前
7秒前
Holly完成签到,获得积分10
8秒前
清圆527发布了新的文献求助10
8秒前
nxdr完成签到,获得积分10
9秒前
Arafat发布了新的文献求助10
11秒前
11秒前
共享精神的应助被nxdr采纳,获得10
15秒前
境屾发布了新的文献求助200
16秒前
16秒前
熏弦完成签到,获得积分10
16秒前
18秒前
20秒前
球球发布了新的文献求助10
21秒前
Enigma_GEB的应助被sakki采纳,获得20
21秒前
mcl完成签到,获得积分10
23秒前
沉静朋友发布了新的文献求助10
24秒前
25秒前
Abust完成签到 ,获得积分10
26秒前
思源的应助被Baylin采纳,获得10
27秒前
28秒前
bajiu发布了新的文献求助10
29秒前
顾矜的应助被question500采纳,获得10
29秒前
清圆527完成签到,获得积分10
29秒前
29秒前
李爱国的应助被科研通管家采纳,获得10
30秒前
李健的应助被科研通管家采纳,获得10
30秒前
李健的应助被科研通管家采纳,获得10
30秒前
隐形曼青的应助被科研通管家采纳,获得10
30秒前
x1ao的应助被科研通管家采纳,获得10
30秒前
充电宝的应助被科研通管家采纳,获得10
30秒前
思源的应助被科研通管家采纳,获得10
30秒前
科目三的应助被科研通管家采纳,获得10
30秒前
wanci的应助被科研通管家采纳,获得10
31秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805218
求助须知:如何正确求助?哪些是违规求助? 9338869
关于积分的说明 20493575
捐赠科研通 7397375
什么是DOI,文献DOI怎么找? 3327762
关于科研通互助平台的介绍 2474596
邀请新用户注册赠送积分活动 2345884