Seasonal divergence in the sensitivity of carbon and water fluxes to climate variability in terrestrial ecosystems
文献类型：期刊论文
| 作者 | Wang, Ting1,6; Fu, Zheng1; Makowski, David5; Liang, Guopeng4; Jin, Hongxiao3; Zhang, Fangyue2 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2026-01-15 |
| 卷号 | 376页码:110916 |
| 关键词 | Carbon and water fluxes Eddy covariance Hydroclimate factors Seasonal variations Sensitivity |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2025.110916 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Understanding vegetation sensitivity to hydroclimate factors, especially how carbon and water cycles respond to climate change, is crucial for assessing ecosystem vulnerability. However, the seasonal sensitivity of carbon and water fluxes to temperature, radiation, soil water content, and vapor pressure deficit across diverse biomes and climates remains unclear. Here, we use 196 eddy covariance observations from sensor networks distributed globally, along with daily estimates from Earth System Models (ESMs), to quantify the seasonal sensitivity of daily gross primary productivity (GPP), ecosystem respiration (RE), net ecosystem productivity (NEP), and evapotranspiration (ET) to various hydroclimate factors. Our ridge regression analysis reveals seasonal variations in the sensitivity of carbon and water fluxes to hydroclimate factors across globally distributed flux sites. GPP and NEP are most sensitive to air temperature (TA) in spring, but to radiation (RAD) in summer, autumn and winter. RE consistently exhibits positive sensitivity to TA across all seasons, while ET shows the highest sensitivity to RAD throughout the year. Although energy-related factors like TA and RAD dominate the influence on carbon and water fluxes at sub-seasonal scales, soil water content (SWC) and vapor pressure deficit (VPD) become increasingly important during summer, particularly in drylands. At sites with long-term measurements, we identified a significant upward trend in the sensitivity of summer GPP to SWC with 0.005 +/- 0.002 per year, suggesting that terrestrial ecosystems are becoming more constrained by water stress during summer. Compared to observations, ESMs generally overestimate the sensitivity of GPP to SWC and VPD, while underestimate the sensitivity to RAD and TA during summer. Our findings enhanced the understanding of the seasonal response of ecosystem carbon and water cycles to hydroclimate factors, offering insights into ecosystem function under future climate change. |
| URL标识 | 查看原文 |
| WOS关键词 | COMMUNITY LAND MODEL ; SOIL-MOISTURE ; RESPIRATION ; IMPACT |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001616050400002 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219778]  |
| 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 | Fu, Zheng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 2.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China 3.Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden; 4.Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 60511 USA; 5.Univ Paris Saclay, Unit Appl Math & Comp Sci UMR MIA PS, INRAE AgroParisTech, F-91120 Palaiseau, France; 6.Liaocheng Univ, Coll Agr & Biol, Liaocheng 252000, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Ting,Fu, Zheng,Makowski, David,et al. Seasonal divergence in the sensitivity of carbon and water fluxes to climate variability in terrestrial ecosystems[J]. AGRICULTURAL AND FOREST METEOROLOGY,2026,376:110916. |
| APA | Wang, Ting,Fu, Zheng,Makowski, David,Liang, Guopeng,Jin, Hongxiao,&Zhang, Fangyue.(2026).Seasonal divergence in the sensitivity of carbon and water fluxes to climate variability in terrestrial ecosystems.AGRICULTURAL AND FOREST METEOROLOGY,376,110916. |
| MLA | Wang, Ting,et al."Seasonal divergence in the sensitivity of carbon and water fluxes to climate variability in terrestrial ecosystems".AGRICULTURAL AND FOREST METEOROLOGY 376(2026):110916. |
入库方式： OAI收割
来源：地理科学与资源研究所
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