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Improving vegetation photosynthesis model (VPM) by incorporating CO2 and atmospheric aerosols: A case study using urban and rural flux data from Shenzhen, China

文献类型：期刊论文

作者Dong, Guannan6,7,8; Wang, Weimin3,4,5; Liu, Kai7; Yan, Ziyan2,6; Gao, Long1; Zhang, Furong6,7; Chen, Shaohui7
刊名PHYSICS AND CHEMISTRY OF THE EARTH
出版日期2026-10-01
卷号144页码:104430
关键词Urban vegetation Gross primary production (GPP) VPM (Vegetation photosynthesis model) Carbon dioxide (CO 2 ) Aerosol optical depth (AOD)
ISSN号1474-7065
DOI10.1016/j.pce.2026.104430
产权排序2
文献子类Article
英文摘要Urban vegetation is vital for urban environment quality and human health. However, human activities contribute to atmospheric factors like Carbon dioxide (CO2) and particulate matter (PM2.5 and PM10) concentration, impacting urban vegetation growth. Vegetation productivity indicates vegetation growth status, with most current estimates in urban areas based on terrestrial carbon cycle models. This study addresses the significant spatial variation of urban and explores data fusion techniques using Landsat 8 and MODIS to acquire highresolution remote sensing data. Using the evergreen broadleaf forest in Shenzhen as a case study, we modeled the CO2 and Aerosol Optical Depth (AOD) atmospheric stress factors of Vegetation Photosynthesis Model (VPM) for Tianxinshan (TXS) and Yangmeikeng (YMK) research forests using regression algorithms. The selected simulation accuracy indices were R2 = 0.51, RMSE = 0.11, MAE = 0.85 for VPM_urban in urban areas, and R2 = 0.65, RMSE = 1.65, MAE = 1.30 for rural areas. After validation, the Person r of the GPP simulated by VPM_urban in the urban area represented by TXS research forest increased from the original 0.62 to 0.71. This demonstrates that using VPM_urban can provide a more accurate assessment of the growth status of evergreen broadleaf forests in urban areas, offering valuable insights for urban planning and management.
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WOS关键词LANDSAT SURFACE REFLECTANCE ; NET PRIMARY PRODUCTIVITY ; LONG-TERM ; ECOSYSTEMS ; SCALES ; ERROR
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种英语
WOS记录号WOS:001745210400001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/221549]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Chen, Shaohui
作者单位1.China State Shipbuilding Corp, Syst Engn Res Inst, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;
3.State Environm Protect Sci Observat & Res Stn Ecol, 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.Shenzhen Ecol & Environm Monitoring Ctr Guangdong, Shenzhen 518049, Peoples R China;
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;
8.Natl Forestry & Grassland Adm, Acad Forestry Inventory & Planning, Beijing 100714, Peoples R China;
推荐引用方式
GB/T 7714		 Dong, Guannan,Wang, Weimin,Liu, Kai,et al. Improving vegetation photosynthesis model (VPM) by incorporating CO2 and atmospheric aerosols: A case study using urban and rural flux data from Shenzhen, China[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2026,144:104430.
APA Dong, Guannan.,Wang, Weimin.,Liu, Kai.,Yan, Ziyan.,Gao, Long.,...&Chen, Shaohui.(2026).Improving vegetation photosynthesis model (VPM) by incorporating CO2 and atmospheric aerosols: A case study using urban and rural flux data from Shenzhen, China.PHYSICS AND CHEMISTRY OF THE EARTH,144,104430.
MLA Dong, Guannan,et al."Improving vegetation photosynthesis model (VPM) by incorporating CO2 and atmospheric aerosols: A case study using urban and rural flux data from Shenzhen, China".PHYSICS AND CHEMISTRY OF THE EARTH 144(2026):104430.

入库方式： OAI收割

来源：地理科学与资源研究所

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