Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China
文献类型：期刊论文
| 作者 | Li, Jianfeng1,2,3,4; Liu, Siqi2,3,4; Peng, Biao2,3,4; Ye, Huping1; Zhang, Zhuoying5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 15期号:16页码:21 |
| 关键词 | county-level ecological spaces carbon sink dual carbon target optimization strategies |
| DOI | 10.3390/rs15164009 |
| 通讯作者 | Ye, Huping(yehp@igsnrr.ac.cn) |
| 英文摘要 | County-level ecological space, as a crucial level in optimizing the land spatial system, plays a pivotal role in "undertaking superior planning and guiding subordinate implementation". From a spatial optimization perspective, effectively implementing the dual-carbon goal by increasing carbon sinks in specific ecological space units is essential. This study focused on 107 districts and counties in Shaanxi Province, China, aiming to construct a comprehensive multivariate identification system for ecological space under the dual-carbon target based on an analysis of the spatiotemporal distribution characteristics and driving factors of county-level carbon sinks. Furthermore, by analyzing the ecological spatial distribution pattern, carbon sink land structure, and county clustering characteristics, the study explored differential optimization strategies for ecological spaces of different county types to enhance carbon sinks in the ecosystem. The results demonstrated that: (1) From 2000 to 2020, the total carbon sink in Shaanxi Province exhibited an initial increase followed by a decrease, with a decline from 864.39 x 10(4) t to 863.21 x 10(4 )t. The county-level distribution of total carbon sink displayed significant spatial heterogeneity, with an overall pattern of south > north > central. (2) The interaction among factors enhanced the explanatory power for spatial differentiation of county-level carbon sinks compared to individual factors, exerting an important impact on the spatial distribution pattern of carbon sinks. (3) The distribution of ecological space in Shaanxi Province was highly uneven, with the core ecological space primarily concentrated in the southern and north-central regions. The proportions of low carbon sink (Type I), medium carbon sink (Type II), and high carbon sink (Type III) counties were 35.51%, 18.69%, and 45.80%, respectively. For different types of county-level ecological spaces, this study proposed a differentiated optimization strategy aimed at reducing carbon emissions and enhancing carbon sink. The results will provide theoretical and technical support for regional ecological construction and land spatial optimization, holding significant practical implications for achieving the dual-carbon goal and addressing climate change. |
| WOS关键词 | HAZARDS ; GIS |
| 资助项目 | We would like to acknowledge the valuable contributions of the numerous data sources used in this study. We extend our gratitude to all the organizations, institutions, and individuals who provided the data that facilitated the completion of this research. |
| 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:001055636500001 |
| 资助机构 | We would like to acknowledge the valuable contributions of the numerous data sources used in this study. We extend our gratitude to all the organizations, institutions, and individuals who provided the data that facilitated the completion of this research. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196664]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ye, Huping |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Shaanxi Prov Land Engn Construct Grp Co Ltd, Inst Land Engn & Technol, Xian 710021, Peoples R China 3.Xi An Jiao Tong Univ, Shaanxi Land Engn Construct Grp Co Ltd, Technol Innovat Ctr Land Engn & Human Settlements, Xian 710049, Peoples R China 4.Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian 710075, Peoples R China 5.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Jianfeng,Liu, Siqi,Peng, Biao,et al. Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China[J]. REMOTE SENSING,2023,15(16):21. |
| APA | Li, Jianfeng,Liu, Siqi,Peng, Biao,Ye, Huping,&Zhang, Zhuoying.(2023).Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China.REMOTE SENSING,15(16),21. |
| MLA | Li, Jianfeng,et al."Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China".REMOTE SENSING 15.16(2023):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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