Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China
文献类型：期刊论文
| 作者 | Wen, Hui3; Zhong, Ziyu3; Kong, Xujie3; Wang, Jichun2,3; Li, Renqiang1,2; Wang, Zhaosheng1,2; Yu, Shulin1,2; Xu, Zhen1,2; Chen, Hexin3; Zhu, Qi3 |
| 刊名 | ENVIRONMENTAL RESEARCH COMMUNICATIONS
 |
| 出版日期 | 2025 |
| 卷号 | 7期号:1页码:15008 |
| 关键词 | carbon emission carbon storage carbon benefit LUCC low carbon strategies MMRFE |
| ISSN号 | 2515-7620 |
| DOI | 10.1088/2515-7620/ada110 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Assessing the carbon sequestration capacity of regional ecosystems is essential for achieving carbon neutrality goals. However, existing research often fails to comprehensively evaluate the spatial-temporal dynamic changes of ecosystem carbon emission and absorption. This study introduces a Carbon Benefit Index (CBI) to assess carbon neutrality potential and classifies Shandong's 16 cities into four regions based on their carbon storage and emission profiles. We conducted an in-depth analysis of ecosystem carbon benefit in Shandong Province from 2000 to 2020 using the multimodel random forest ensemble method, which enhances the accuracy of carbon sink simulations across terrestrial ecosystems. Our results showed that from 2000 to 2020, Shandong's carbon emission increased by 1.45 x 108 tons (a 203.8% rise), while carbon storage decreased by 3.40 x 107 tons (a 2.05% decline). Compared to previous studies, our findings underscore the significance of both above-ground and below-ground carbon storage. Grey correlation analysis of land use, anthropogenic CO2 emission, and ecosystem carbon storage revealed that cultivated and forest lands were most significantly correlated with carbon storage, whereas built-up areas were most closely linked to carbon emission. The CBI analysis and classification of the 16 cities into four categories highlights the spatial-temporal heterogeneous of the carbon efficiency, and diverse roles cities play in the province's overall carbon balance, informing city-specific, targeted carbon reduction strategies. The study emphasizes the need for spatially differentiated, comprehensive carbon accounting to improve carbon efficiency. Based on these findings, we propose tailored low-carbon improvement strategies for different regions. This research not only contributes to existing literature by incorporating below-ground carbon storage but also provides valuable insights for policy and land management, with practical implications for promoting sustainable development and advancing efforts toward carbon neutrality. |
| URL标识 | 查看原文 |
| WOS关键词 | SIMULATION |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001393171800001 |
| 出版者 | IOP Publishing Ltd |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211368]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Li, Renqiang |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China; 3.Qingdao Univ Technol, Sch Architecture & Urban Planning, Qingdao 266033, Peoples R China; 4.Shaanxi Meteorol Training Ctr, 102-1 Weiyang Rd, Xian, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wen, Hui,Zhong, Ziyu,Kong, Xujie,et al. Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China[J]. ENVIRONMENTAL RESEARCH COMMUNICATIONS,2025,7(1):15008. |
| APA | Wen, Hui.,Zhong, Ziyu.,Kong, Xujie.,Wang, Jichun.,Li, Renqiang.,...&Ren, Yan.(2025).Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China.ENVIRONMENTAL RESEARCH COMMUNICATIONS,7(1),15008. |
| MLA | Wen, Hui,et al."Spatial-temporal analysis of carbon benefit and land use for low-carbon development strategies in Shandong Province, China".ENVIRONMENTAL RESEARCH COMMUNICATIONS 7.1(2025):15008. |
入库方式： OAI收割
来源：地理科学与资源研究所
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