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Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities

文献类型：期刊论文

作者Dong, Guannan1; Chen, Shaohui; Liu, Kai; Wang, Weimin2,3,4; Hou, Haoran1; Gao, Long1; Zhang, Furong1; Su, Hongbo5
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2023-12-20
卷号905页码:167090
关键词Gross primary production (GPP) Enhanced vegetation index (EVI) Land surface water index (LSWI) Sensitivity Urban vegetation
DOI10.1016/j.scitotenv.2023.167090
产权排序1
文献子类Article
英文摘要Understanding the sensitivity of vegetation growth and greenness to vegetation water content change is crucial for elucidating the mechanism of terrestrial ecosystems response to water availability change caused by climate change. Nevertheless, we still have limited knowledge of such aspects in urban in different climatic contexts under the influence of human activities. In this study, we employed Google Earth Engine (GEE), remote sensing satellite imagery, meteorological data, and Vegetation Photosynthesis Model (VPM) to explore the spatiotemporal pattern of vegetation growth and greenness sensitivity to vegetation water content in three megacities (Beijing, Shanghai, and Guangzhou) located in eastern China from 2001 to 2020. We found a significant increase (slope > 0, p < 0.05) in the sensitivity of urban vegetation growth and greenness to vegetation water content (S-LSWI). This indicates the increasing dependence of urban vegetation ecosystems on vegetation water resources. Moreover, evident spatial heterogeneity was observed in both S-LSWI and the trends of S-LSWI, and spatial heterogeneity in S-LSWI and the trends of S-LSWI was also present among identical vegetation types within the same city. Additionally, both SLSWI of vegetation growth and greenness and the trend of S-LSWI showed obvious spatial distribution differences (e.g., standard deviations of trends in S-LSWI of open evergreen needle-leaved forest of GPP is 14.36 x 10(-2) and standard deviations of trends in S-LSWI of open evergreen needle-leaved forest of EVI is 10.16 x 10(-2)), closely associated with factors such as vegetation type, climatic conditions, and anthropogenic influences.
WOS关键词GROSS PRIMARY PRODUCTION ; LANDSAT SURFACE REFLECTANCE ; USE EFFICIENCY ; MITIGATION STRATEGIES ; LONG-TERM ; SATELLITE ; PRODUCTIVITY ; DROUGHT ; MODEL ; TEMPERATURE
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER
WOS记录号WOS:001086247800001
源URL[http://ir.igsnrr.ac.cn/handle/311030/198852]  
专题陆地水循环及地表过程院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Shenzhen Ecol & Environm Monitoring Ctr Guangdong, Shenzhen 518049, Peoples R China
4.Natl Observat & Res Stn, Guangdong Greater Bay Area, Change & Comprehens Treatment Reg Ecol & Environm, Shenzhen 518049, Peoples R China
5.State Environm Protect Sci Observat & Res Stn Ecol, Shenzhen 518049, Peoples R China
6.Florida Atlantic Univ, Coll Engn & Comp Sci, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
推荐引用方式
GB/T 7714		 Dong, Guannan,Chen, Shaohui,Liu, Kai,et al. Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,905:167090.
APA Dong, Guannan.,Chen, Shaohui.,Liu, Kai.,Wang, Weimin.,Hou, Haoran.,...&Su, Hongbo.(2023).Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities.SCIENCE OF THE TOTAL ENVIRONMENT,905,167090.
MLA Dong, Guannan,et al."Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities".SCIENCE OF THE TOTAL ENVIRONMENT 905(2023):167090.

入库方式： OAI收割

来源：地理科学与资源研究所

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