中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new pattern expanding current temperature models: A negative correlation between soil respiration and temperature in cold environments

文献类型:期刊论文

作者Zhao, Wei1,2; Yang, Meng1,2; Wang, Qiufeng1,2; Hao, Tianxiang1,2; Zhu, Jianxing1,2; Chen, Zhi1,2; Yu, Guirui1,2
刊名CATENA
出版日期2026
卷号262页码:109653
关键词Soil respiration Mean annual temperature Negative correlation Van't Hoff Annual Rs Discrepancy across timescales
ISSN号0341-8162
DOI10.1016/j.catena.2025.109653
产权排序1
文献子类Article
英文摘要Soil respiration (Rs) is the second-largest carbon flux after gross primary productivity. Thus, assessing the relationship between Rs and temperature is essential for carbon budget assessments and climate-change predictions. A critical but unresolved question is whether current models accurately capture the Rs-temperature relationship in cold environments. We used multiscale observations from natural ecosystems across China and conducted Rs-temperature model comparisons, focusing on Rs responses under low-temperature conditions. We found that annual Rs exhibited a U-shaped relationship with mean annual temperature (MAT). Notably, unlike the positive Rs-temperature correlation in temperate regions, annual Rs was negatively correlated with temperature in cold regions (MAT < 3.75 C-degrees), primarily in the Qinghai-Tibet Plateau and Northeast Cold Temperate Zone. This unexpected inverse pattern likely stemmed from the inhibitory effect of increased soil moisture associated with rising MAT. Traditional models (Van't Hoff, Lloyd-Taylor, and Arctangent) systematically underestimated Rs in these cold regions by up to 32 %. In contrast, monthly Rs increased consistently with temperature and showed no negative correlation. This scale-dependent divergence resulted from the spatial heterogeneity in Rs responses and Jensen's inequality. Our findings enhance the understanding of Rs-temperature coupling across timescales and underscore the need for refined multiscale models to improve predictions of soil carbon fluxes under climate change.
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WOS关键词ORGANIC-CARBON ; CLIMATE-CHANGE ; SENSITIVITY ; RESPONSES ; MOISTURE ; WATER ; VEGETATION ; NITROGEN ; CHINA
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:001620204600001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/217727]  
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Yang, Meng; Wang, Qiufeng
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 Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;
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GB/T 7714
Zhao, Wei,Yang, Meng,Wang, Qiufeng,et al. A new pattern expanding current temperature models: A negative correlation between soil respiration and temperature in cold environments[J]. CATENA,2026,262:109653.
APA Zhao, Wei.,Yang, Meng.,Wang, Qiufeng.,Hao, Tianxiang.,Zhu, Jianxing.,...&Yu, Guirui.(2026).A new pattern expanding current temperature models: A negative correlation between soil respiration and temperature in cold environments.CATENA,262,109653.
MLA Zhao, Wei,et al."A new pattern expanding current temperature models: A negative correlation between soil respiration and temperature in cold environments".CATENA 262(2026):109653.

入库方式: OAI收割

来源:地理科学与资源研究所

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