Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Gif Sur Yvette, 91191, France.
CNRS, Univ. Grenoble Alpes, Institut de Géosciences de l'Environnement (IGE), Grenoble, 38000, France.
Nat Commun. 2019 Jul 18;10(1):3172. doi: 10.1038/s41467-019-11103-1.
Permafrost warming and potential soil carbon (SOC) release after thawing may amplify climate change, yet model estimates of present-day and future permafrost extent vary widely, partly due to uncertainties in simulated soil temperature. Here, we derive thermal diffusivity, a key parameter in the soil thermal regime, from depth-specific measurements of monthly soil temperature at about 200 sites in the high latitude regions. We find that, among the tested soil properties including SOC, soil texture, bulk density, and soil moisture, SOC is the dominant factor controlling the variability of diffusivity among sites. Analysis of the CMIP5 model outputs reveals that the parameterization of thermal diffusivity drives the differences in simulated present-day permafrost extent among these models. The strong SOC-thermics coupling is crucial for projecting future permafrost dynamics, since the response of soil temperature and permafrost area to a rising air temperature would be impacted by potential changes in SOC.
多年冻土变暖以及解冻后潜在的土壤碳(SOC)释放可能会放大气候变化,但目前和未来多年冻土范围的模型估计差异很大,部分原因是土壤温度模拟存在不确定性。在这里,我们从高纬度地区约 200 个地点的每月土壤温度的深度特定测量中得出了热扩散率,这是土壤热状态的一个关键参数。我们发现,在所测试的土壤特性中,包括 SOC、土壤质地、容重和土壤水分,SOC 是控制不同地点扩散率变化的主要因素。对 CMIP5 模型输出的分析表明,热扩散率的参数化驱动了这些模型中模拟的当前多年冻土范围的差异。SOC-热耦合的强相互作用对于预测未来多年冻土动态至关重要,因为土壤温度和多年冻土面积对空气温度升高的响应将受到 SOC 潜在变化的影响。