Attribution of Local Land Surface Temperature Variations in Response to Afforestation under Different Sky Conditions
文献类型：期刊论文
| 作者 | He, Jiani2,3; Li, Yitao2,3; Si, Menglin2,3; Li, Zhao-Liang1,2 |
| 刊名 | IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
 |
| 出版日期 | 2025 |
| 卷号 | N/A页码:968-972 |
| 关键词 | Land surface temperature sky conditions afforestation Intrinsic Biophysical Mechanism Two-Resistance Mechanism |
| ISSN号 | 2153-6996 |
| DOI | 10.1109/IGARSS55030.2025.11243399 |
| 产权排序 | 1 |
| 文献子类 | Proceedings Paper |
| 英文摘要 | Land surface temperature (LST) variations play a crucial role in understanding the impact of land-use changes, such as afforestation, on local and regional climates. Previous studies have predominantly focused on clear-sky conditions, neglecting cloudy conditions, which has led to an overestimation of LST variations associated with afforestation. This study aims to attribute local LST variations to afforestation under different sky conditions using physically-based attribution models. We utilized paired FLUXNET sites observational data to classify sky conditions and applied two attribution models, the Intrinsic Biophysical Mechanism (IBM) and Two-Resistance Mechanism (TRM), to quantify contributions from biophysical factors such as net radiation, aerodynamic resistance, Bowen ratio (for the IBM method) or surface resistance (for the TRM method), heat storage, and atmospheric feedback. The results indicate that under clear sky conditions, deforestation significantly increases surface temperature due to reduced evapotranspiration and higher net radiation. In contrast, under cloudy conditions, the temperature increase is mitigated by lower incoming shortwave radiation. The TRM and IBM models produced consistent results, with observed differences mainly attributed to surface resistance dynamics. Our findings highlight the critical role of sky conditions in modulating the biophysical effects of afforestation on land surface temperature. |
| URL标识 | 查看原文 |
| WOS研究方向 | Physical Geography ; Geology ; Instruments & Instrumentation ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001697407700204 |
| 出版者 | IEEE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221366]  |
| 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 | He, Jiani |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semi Arid, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; 3.Univ Chinese Acad Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | He, Jiani,Li, Yitao,Si, Menglin,et al. Attribution of Local Land Surface Temperature Variations in Response to Afforestation under Different Sky Conditions[J]. IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,2025,N/A:968-972. |
| APA | He, Jiani,Li, Yitao,Si, Menglin,&Li, Zhao-Liang.(2025).Attribution of Local Land Surface Temperature Variations in Response to Afforestation under Different Sky Conditions.IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,N/A,968-972. |
| MLA | He, Jiani,et al."Attribution of Local Land Surface Temperature Variations in Response to Afforestation under Different Sky Conditions".IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM N/A(2025):968-972. |
入库方式： OAI收割
来源：地理科学与资源研究所
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