Improved Modeling of Vegetation Phenology Using Soil Enthalpy
文献类型：期刊论文
| 作者 | Sun, Xupeng1,4; Lu, Ning4; Shen, Miaogen3; Qin, Jun2,4 |
| 刊名 | GLOBAL CHANGE BIOLOGY
 |
| 出版日期 | 2025-03-01 |
| 卷号 | 31期号:3页码:e70116 |
| 关键词 | phenology SIF soil enthalpy temperature |
| ISSN号 | 1354-1013 |
| DOI | 10.1111/gcb.70116 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Many vegetation phenological models predominantly rely on temperature, overlooking the critical roles of water availability and soil characteristics. This limitation significantly impacts the accuracy of phenological projections, particularly in water-limited ecosystems. We proposed a new approach incorporating soil enthalpy-a comprehensive metric integrating soil moisture, temperature, and texture-to improve phenological modeling. Using an extensive dataset combining FLUXNET observations, solar-induced fluorescence (SIF), and meteorological data across the Northern Hemisphere (NH), we analyzed the relationship between soil enthalpy and vegetation phenology from 2001 to 2020. Our analysis revealed significant temporal trends in soil enthalpy that corresponded with changes in leaf onset date (LOD) and leaf senescence date (LSD). We developed and validated a new soil enthalpy-based model with optimized parameters. The soil enthalpy-based model showed particularly strong performance in autumn phenology, improving LSD simulation accuracy by at least 15% across all vegetation types. For shrub and grassland ecosystems, LOD projections improved by more than 12% compared to the temperature-based model. Future scenario analysis using CMIP6 data (2020-2054) revealed that the temperature-based model consistently projects earlier LOD and later LSD compared to the soil enthalpy-based model, suggesting potential overestimation of growing season length in previous studies. This study establishes soil enthalpy as a valuable metric for phenological modeling and highlights the importance of incorporating both water availability and soil characteristics for more accurate predictions of vegetation phenology under changing climatic conditions. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; GROSS PRIMARY PRODUCTION ; SPRING PHENOLOGY ; GROWING-SEASON ; NORTH-AMERICA ; CLIMATE ; TEMPERATURE ; PRODUCTIVITY ; MOISTURE ; EARLIER |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001440231700001 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213364]  |
| 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 | Shen, Miaogen; Qin, Jun |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China; 2.Yunnan Normal Univ, Fac Geog, Kunming, Yunnan, Peoples R China 3.Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China; 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Sun, Xupeng,Lu, Ning,Shen, Miaogen,et al. Improved Modeling of Vegetation Phenology Using Soil Enthalpy[J]. GLOBAL CHANGE BIOLOGY,2025,31(3):e70116. |
| APA | Sun, Xupeng,Lu, Ning,Shen, Miaogen,&Qin, Jun.(2025).Improved Modeling of Vegetation Phenology Using Soil Enthalpy.GLOBAL CHANGE BIOLOGY,31(3),e70116. |
| MLA | Sun, Xupeng,et al."Improved Modeling of Vegetation Phenology Using Soil Enthalpy".GLOBAL CHANGE BIOLOGY 31.3(2025):e70116. |
入库方式： OAI收割
来源：地理科学与资源研究所
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