Global Asymmetric Temperature Responses of Soil Respiration During Warming and Cooling Phases

IF 6.9 2区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Tao Feng, Mingming Wang, Zhongkui Luo
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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.

增温和降温阶段土壤呼吸的全球不对称温度响应
土壤呼吸对温度高度敏感,在地球系统模型中,土壤呼吸对变暖和变冷的响应通常被认为是对称的。然而,这种对称性很少得到明确的测试,特别是在不同的时间尺度上。利用跨越多个生态系统和时间尺度的两个全球数据集,我们发现土壤呼吸在变暖阶段和变冷阶段的表观温度敏感性(Q10)表现出尺度依赖的不对称性。日尺度下,Q10在降温过程中显著升高,月尺度下,不对称性减弱。在小时尺度上,不对称性也可以检测到,但在不同的生态系统类型上方向不同。机器学习分析显示,Q10的驱动因素具有很强的尺度依赖性,短期变化主要受日温度循环和土壤湿度动态影响,长期变化受气候和植被特性影响。对土壤温度和湿度的非线性响应表明,温度敏感性可能与微生物代谢需求、基质可及性及其相互作用有关。尽管存在阶段特异性Q10,但拟合阶段特异性模型并未发现升温和降温阶段之间的控制有显著差异。一致地,纳入土壤温度-水分相互作用显著提高模型性能,特别是在精细的时间尺度上。这些结果强调了测试地球系统模型的重要性,因为它们能够捕获依赖于阶段和时间尺度的表观温度敏感性,并为减少土壤碳-气候反馈预测中的不确定性提供了机会。
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来源期刊
Global Biogeochemical Cycles
Global Biogeochemical Cycles 环境科学-地球科学综合
CiteScore
8.90
自引率
7.70%
发文量
141
审稿时长
8-16 weeks
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.
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