Estimation for Refined Carbon Storage of Urban Green Space and Minimum Spatial Mapping Scale in a Plain City of China
文献类型：期刊论文
| 作者 | Li, Nan1,2; Deng, Liang1,2; Yan, Ge1,2,3; Cao, Mengmeng1,2; Cui, Yaoping1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 16期号:2页码:16 |
| 关键词 | urban green space green space classification carbon storage spatial mapping scale i-Tree model |
| DOI | 10.3390/rs16020217 |
| 通讯作者 | Cui, Yaoping(cuiyp@lreis.ac.cn) |
| 英文摘要 | Current cities are not concrete jungles and deserts with sparse vegetation. Urban green space (UGS) appears widely in human activity areas and plays an important role in improving the human living environment and accumulates carbon storage. However, given the scattered distribution of UGS, studies on both the refined spatial estimation of carbon storage and appropriate mapping scale are still lacking. Taking the downtown area of Kaifeng, China, as the study area, this study verified the i-Tree Eco model on the basis of a field survey and accurately estimated the spatial carbon storage of UGS by combining it with remote sensing data, and finally, we obtained the minimum spatial mapping scale of UGS carbon storage by scaling. The results showed that (1) the total area of UGS in study area was 26.41 km2, of which the proportion of total area of residential area and park green spaces was about 50%. The area of UGS per capita in the study area is 40.49 m2. (2) Within the 123 survey samples, the proportion of communities with tree-shrub-herbs structure was the highest, 51.22%. The average carbon density was 5.89 kg m-2, among which the park, protective and square green spaces had the highest carbon density in all land use types. (3) The total carbon storage of UGS in the study area was 114,389.17 t, and the carbon storage of UGS per capita was 175.39 kg. Furthermore, the scaling analysis showed that 0.25 km spatial resolution was the minimum spatial scale for UGS carbon storage mapping. This study improves our understanding of urban carbon storage, highlights the role and potential of UGS in carbon neutrality, and clarifies the importance of estimating urban carbon storage at appropriate scales. This study is also of great significance for rationally understanding the terrestrial carbon cycle in urban areas and improving regional climate simulations. |
| WOS关键词 | ECOSYSTEM SERVICES ; SEQUESTRATION ; FORESTS ; BIOMASS ; AREAS ; TREES ; CONSERVATION ; PLANTATIONS ; STOCKS ; MODEL |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001150900900001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202151]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cui, Yaoping |
| 作者单位 | 1.Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475004, Peoples R China 2.Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Nan,Deng, Liang,Yan, Ge,et al. Estimation for Refined Carbon Storage of Urban Green Space and Minimum Spatial Mapping Scale in a Plain City of China[J]. REMOTE SENSING,2024,16(2):16. |
| APA | Li, Nan,Deng, Liang,Yan, Ge,Cao, Mengmeng,&Cui, Yaoping.(2024).Estimation for Refined Carbon Storage of Urban Green Space and Minimum Spatial Mapping Scale in a Plain City of China.REMOTE SENSING,16(2),16. |
| MLA | Li, Nan,et al."Estimation for Refined Carbon Storage of Urban Green Space and Minimum Spatial Mapping Scale in a Plain City of China".REMOTE SENSING 16.2(2024):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。