文献类型：期刊文献

英文题名：Effects of multi-scale structure of blue-green space on urban forest carbon density: Beijing, China case study

作者：Li, Xiaoting[1,2] Jia, Baoquan[3,4] Li, Feng[1,2,11] Ma, Jie[5] Liu, Xiuping[6,7,8] Feng, Fei[9,10] Liu, Hailong[1]

第一作者：Li, Xiaoting

通信作者：Li, F[1]

机构：[1]Tsinghua Univ, Sch Architecture, Dept Landscape Architecture, Beijing 100084, Peoples R China;[2]Tsinghua Univ, Ecol Restorat Res Ctr, Sch Architecture, Beijing 100084, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, Natl Forestry & Grassland Adm, Beijing 100091, Peoples R China;[4]Natl Forestry & Grassland Adm, Res Ctr Urban Forest, Beijing 100091, Peoples R China;[5]Henan Inst Sci & Technol, Changsha 453003, Henan, Peoples R China;[6]Beijing Urban Ecosyst Positioning Observat & Res S, Beijing 100102, Peoples R China;[7]Beijing Key Lab Ecol Funct Assessment & Regulat Te, Beijing 100102, Peoples R China;[8]Beijing Acad Forestry & Landscape Architecture, Beijing 100102, Peoples R China;[9]Beijing Forestry Univ, Coll Forestry, Res Ctr Urban Forestry, Beijing 100083, Peoples R China;[10]Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100088, Peoples R China;[11]Qinghuayuan Rd, Beijing, Peoples R China

年份：2023

卷号：883

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：;EI(收录号：20231814028234);Scopus(收录号：2-s2.0-85153680466);WOS:【SCI-EXPANDED(收录号:WOS:000989957200001)】；

基金：Funding This work was supported by the basic research and development program in the Central Non-pro fi t Research Institutes of China [No. CAFYBB2020ZB008] ; and the Key Project of the National Natural Science Foundation of China [No. 71734006] .

语种：英文

外文关键词：Carbon density; Green belt; Green wedge; Urban forest; Landscape structure

摘要：Landscape structure influences the amount of carbon that can be stored in an ecosystem. Currently, majority of research have been focused on the responses of landscape structure and functional relationships to urbanization, and few have specifically focused on blue-green space. In this study, Beijing was used as a case study to explore the relationship among the blue-green spatial planning structure of green belts, green wedges and green ways, the landscape configuration of bluegreen element and carbon storage of urban forest. The blue-green elements were classified using high-resolution remote sensing images (0.8 m) and the above-ground carbon storage estimations of urban forest based on 1307 field survey samples. The results show that green belts and green wedges have a higher coverage percentage of blue-green space and big blue-green patches than that of built-up areas. However, they have lower carbon density in urban forests. The shannon's diversity index of blue-green space was found to have a binary relationship with carbon density, in which, urban forests and water bodies were the key combination in increasing carbon density. The presence of water bodies in urban forests increases the carbon density to up to 1000 m. The effect of farmland and grassland on carbon density was found to be uncertain. With this, this study provides basis for sustainable planning and management of blue-green spaces.