{"title":"Global Asymmetric Temperature Responses of Soil Respiration During Warming and Cooling Phases","authors":"Tao Feng, Mingming Wang, Zhongkui Luo","doi":"10.1029/2026GB009547","DOIUrl":null,"url":null,"abstract":"<p>Soil respiration is highly sensitive to temperature, and its responses to warming and cooling are commonly assumed to be symmetric in Earth system models. However, this symmetry has rarely been explicitly tested, particularly across different temporal scales. Using two global data sets spanning multiple ecosystems and temporal scales, we show that soil respiration exhibits scale-dependent asymmetry in apparent temperature sensitivity (Q<sub>10</sub>) between warming and cooling phases. Q<sub>10</sub> was markedly higher during cooling at the daily scale, with the asymmetry weakened under the monthly scale. At the hourly scale, asymmetry was also detectable but varied in direction across ecosystem types. Machine-learning analyses revealed strong scale dependence in the drivers of Q<sub>10</sub>, with short-term variability dominated by diurnal temperature cycles and soil moisture dynamics, and longer-term patterns shaped by climatic and vegetation properties. Nonlinear responses to soil temperature and moisture suggest that temperature sensitivity may be associated with microbial metabolic demand, substrate accessibility and their interactions. Despite phase-specific Q<sub>10</sub>, fitting phase-specific model did not find significant difference in controls between warming and cooling phases. Consistently, incorporating soil temperature-moisture interactions significantly improves model performance, particularly at fine temporal scales. These results highlight the importance of testing Earth system models for their ability to capture phase- and timescale-dependent apparent temperature sensitivity, and provide opportunities to reduce uncertainties in the prediction of soil carbon–climate feedback.</p>","PeriodicalId":12729,"journal":{"name":"Global Biogeochemical Cycles","volume":"40 10","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Biogeochemical Cycles","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2026GB009547","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Soil respiration is highly sensitive to temperature, and its responses to warming and cooling are commonly assumed to be symmetric in Earth system models. However, this symmetry has rarely been explicitly tested, particularly across different temporal scales. Using two global data sets spanning multiple ecosystems and temporal scales, we show that soil respiration exhibits scale-dependent asymmetry in apparent temperature sensitivity (Q10) between warming and cooling phases. Q10 was markedly higher during cooling at the daily scale, with the asymmetry weakened under the monthly scale. At the hourly scale, asymmetry was also detectable but varied in direction across ecosystem types. Machine-learning analyses revealed strong scale dependence in the drivers of Q10, with short-term variability dominated by diurnal temperature cycles and soil moisture dynamics, and longer-term patterns shaped by climatic and vegetation properties. Nonlinear responses to soil temperature and moisture suggest that temperature sensitivity may be associated with microbial metabolic demand, substrate accessibility and their interactions. Despite phase-specific Q10, fitting phase-specific model did not find significant difference in controls between warming and cooling phases. Consistently, incorporating soil temperature-moisture interactions significantly improves model performance, particularly at fine temporal scales. These results highlight the importance of testing Earth system models for their ability to capture phase- and timescale-dependent apparent temperature sensitivity, and provide opportunities to reduce uncertainties in the prediction of soil carbon–climate feedback.
期刊介绍:
Global Biogeochemical Cycles (GBC) features research on regional to global biogeochemical interactions, as well as more local studies that demonstrate fundamental implications for biogeochemical processing at regional or global scales. Published papers draw on a wide array of methods and knowledge and extend in time from the deep geologic past to recent historical and potential future interactions. This broad scope includes studies that elucidate human activities as interactive components of biogeochemical cycles and physical Earth Systems including climate. Authors are required to make their work accessible to a broad interdisciplinary range of scientists.