中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the cooling effects of vegetation greening on surface temperature under climate warming in China's Loess Plateau

文献类型:期刊论文

作者Bai, Xiao2; Fang, Junjie2; Liu, Chenggong1,3; Jia, Xiaoxu1,3; Zhao, Chunlei1,3; Shao, Ming'an1,3
刊名ECOLOGICAL ENGINEERING
出版日期2025-12-01
卷号221页码:107787
关键词Land surface temperature Vegetation greening Diurnal asymmetry Climate-vegetation feedback Loess Plateau
ISSN号0925-8574
DOI10.1016/j.ecoleng.2025.107787
产权排序2
文献子类Article
英文摘要The Loess Plateau, a critical region for ecological restoration in China, has experienced extensive vegetation recovery since 1990s, yet its cooling effect on surface warming remains debated. Combining multi-source satellite observations (MODIS LST and GLASS LAI) with climate data, this study quantifies the spatiotemporal interplay between vegetation greening and land surface temperature (LST) dynamics across the Loess Plateau from 2001 to 2020. Results reveal a 0.038 m2 & sdot;m- 2 & sdot;yr- 1 increase in annual LAI, with 72.89 % of the region showing significant greening. Despite this, LST exhibited an overall warming trend (0.027 degrees C & sdot;yr- 1), driven by pronounced nocturnal heating (0.064 degrees C & sdot;yr- 1) that offset daytime cooling (-0.011 degrees C & sdot;yr- 1). Seasonal analysis demonstrated summer cooling (-0.050 degrees C & sdot;yr- 1) but accelerated warming in spring (0.074 degrees C & sdot;yr- 1), autumn (0.050 degrees C & sdot;yr- 1), and winter (0.011 degrees C & sdot;yr- 1). Structural equation modeling identified air temperature (path coefficient: 0.79) as the dominant LST driver, while vegetation greening (LAI) exerted a significant yet spatially heterogeneous cooling effect (-0.43). During the daytime, LST is primarily influenced by air temperature (0.71) and LAI (-0.62). While, at nighttime, it is mainly governed by air temperature (0.72) and precipitation (0.48), with no significant relation to LAI (-0.08). Cooling efficiency peaked in humid eastern zones with high LAI gains but diminished in arid northwestern and urbanized areas due to energy balance alterations. Residual analysis indicates that vegetation degradation significantly accelerates surface warming (2001-2020 mean LST increase of 0.055 degrees C & sdot;yr- 1, with 61.0 % attributed to vegetation degradation), while vegetation greening induces a pronounced diurnal asymmetry: daytime LST shows a significant cooling (-0.024 degrees C & sdot;yr- 1, with a cooling contribution of -187.7 %), but nighttime cooling is limited (nighttime LST increase of +0.045 degrees C & sdot;yr- 1, with only 23.2 % attributed to greening), resulting in a slight overall increase in mean LST (+0.010 degrees C & sdot;yr- 1). These findings imply the necessity of region-specific ecological strategies to optimize vegetation climate-regulating potential under global warming.
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WOS关键词EQUATION MODELING SEM ; LAND-COVER CHANGE ; SOIL ; WATER ; AFFORESTATION ; FORESTS ; CARBON ; MODIS
WOS研究方向Environmental Sciences & Ecology ; Engineering
语种英语
WOS记录号WOS:001565865500001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/216048]  
专题黄河三角洲现代农业工程实验室_外文论文
通讯作者Bai, Xiao
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Modern Agr Engn Lab, Beijing 100101, Peoples R China;
2.Xian Univ Sci & Technol, Coll Geomat, 58 Yanta Rd, Xian 710054, Peoples R China;
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
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GB/T 7714
Bai, Xiao,Fang, Junjie,Liu, Chenggong,et al. Assessing the cooling effects of vegetation greening on surface temperature under climate warming in China's Loess Plateau[J]. ECOLOGICAL ENGINEERING,2025,221:107787.
APA Bai, Xiao,Fang, Junjie,Liu, Chenggong,Jia, Xiaoxu,Zhao, Chunlei,&Shao, Ming'an.(2025).Assessing the cooling effects of vegetation greening on surface temperature under climate warming in China's Loess Plateau.ECOLOGICAL ENGINEERING,221,107787.
MLA Bai, Xiao,et al."Assessing the cooling effects of vegetation greening on surface temperature under climate warming in China's Loess Plateau".ECOLOGICAL ENGINEERING 221(2025):107787.

入库方式: OAI收割

来源:地理科学与资源研究所

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