Impact of landform on Spatial-Temporal distribution and Scenario-Based prediction of carbon stocks in arid Regions: A Case study of Xinjiang
文献类型：期刊论文
| 作者 | Song, Keyu4,5; Cheng, Weiming1,2,3,4,5; Wang, Baixue4,5; Xu, Hua4,5 |
| 刊名 | CATENA
 |
| 出版日期 | 2025-03-01 |
| 卷号 | 250页码:108781 |
| 关键词 | Carbon stocks Carbon density Ecosystem services Landform type Cellular automaton |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2025.108781 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Landform significantly influences terrestrial carbon stock changes in arid zones. Understanding the interconnected relationship between landforms and carbon stock fluctuations aids in customizing preservation strategies. Using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), Patch Generation Future Land Use Simulation (PLUS) model, and Geomorphological Zoning Theory (GZ), a framework (PLUS-InVEST-GZ) was proposed to estimate past and future carbon stock variations across geomorphological zones. Key findings include: (1) Approximately one-third of the carbon stock, about 3.8 x 109 tons is located in mountainous areas, showing a fluctuating upward trend due to forest protection measures. This underscores the importance of mountainous regions as vital carbon sinks. (2) Predictions indicate significant declines of 3.8 x 106 tons in the Tarim Basin under economic development scenarios, while environmental protection scenarios lead to an increase of approximately 2.4 x 106 tons in carbon storage in the Tianshan region. In contrast, all other scenarios result in decreases in carbon storage in the Tianshan region, ranging from 0.2 x 106 to 0.7 x 106 tons. These results emphasize that geomorphic characteristics strongly influence carbon storage dynamics. Conservation efforts focused on mountainous areas are more cost-effective than those targeting plains, suggesting the need for tailored strategies to balance carbon storage, water resource sustainability, and ecological resilience. |
| URL标识 | 查看原文 |
| WOS关键词 | TERRESTRIAL ECOSYSTEMS ; SIMULATION ; STORAGE ; TRENDS ; CHINA ; MODEL |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001413962400001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212309]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Cheng, Weiming |
| 作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 2.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China; 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Song, Keyu,Cheng, Weiming,Wang, Baixue,et al. Impact of landform on Spatial-Temporal distribution and Scenario-Based prediction of carbon stocks in arid Regions: A Case study of Xinjiang[J]. CATENA,2025,250:108781. |
| APA | Song, Keyu,Cheng, Weiming,Wang, Baixue,&Xu, Hua.(2025).Impact of landform on Spatial-Temporal distribution and Scenario-Based prediction of carbon stocks in arid Regions: A Case study of Xinjiang.CATENA,250,108781. |
| MLA | Song, Keyu,et al."Impact of landform on Spatial-Temporal distribution and Scenario-Based prediction of carbon stocks in arid Regions: A Case study of Xinjiang".CATENA 250(2025):108781. |
入库方式： OAI收割
来源：地理科学与资源研究所
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