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首页> 外文期刊>Climate research >The MILLENNIA peat cohort model: predicting past, present and future soil carbon budgets and fluxes under changing climates in peatlands
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The MILLENNIA peat cohort model: predicting past, present and future soil carbon budgets and fluxes under changing climates in peatlands

机译:MILLENNIA泥炭队列模型:预测泥炭地气候变化下过去,现在和将来的土壤碳收支和通量

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Globally, considerable carbon (C) is stored in soils, particularly in peatlands. These stores play a potentially significant role in atmospheric C-cycle feedbacks, and thus need to be accounted for in global models. However, present global soil models do not accurately represent peat C-stocks and -dynamics; thus, their climate–soil C feedback predictions are questionable. A major shortcoming of current models that are based on the decomposition of soil C pools is the lack of representation of long-term (non-equilibrium) soil organic carbon (SOC) accumulation, as peat cohorts, with cohort age information. Whereas C-pool models are commonly ‘spun up’ to equilibrium over several hundred years using an average climate, in nature, soils actually evolve over many thousands of years with associated changes in litter amounts and quality, which affect SOC accumulation, and hence peat formation. Secondly, peat soils have a unique hydrology, and changes in the water table depth (WTD) of peat are important in regulating SOC turnover, yet current non-cohort C pool models fail to include such dynamic hydrological processes. We have developed an improved peat agecohort model called MILLENNIA, with a variable WTD driving C-dynamics during Holocene peat accumulation, allowing validation with peat age data and the testing of a realistic WTD-driven peat SOC stock response to climate-change scenarios. Model C-dynamics showed particular sensitivity to water table dynamics through precipitation and runoff, as well as to litter quality and decomposition rates.We show that predicted SOC accumulation and peat ages compare well with observations from a UK peatland site, which is currently (on average) a weak net C source with strong climate sensitivity.
机译:在全球范围内,大量的碳(C)存储在土壤中,尤其是在泥炭地中。这些存储在大气C周期反馈中可能起重要作用,因此需要在全局模型中加以考虑。但是,目前的全球土壤模型不能准确地表示泥炭的碳储量和动力学。因此,他们对气候-土壤C的反馈预测值得怀疑。当前基于土壤碳库分解的模型的一个主要缺点是缺乏用群体年龄信息表示长期(非平衡)土壤有机碳(SOC)作为泥炭队列的代表。通常,在自然条件下,碳池模型通常在数百年内使用平均气候“加速”达到平衡,而土壤实际上在数千年间演化,伴随着凋落物数量和质量的变化,这会影响SOC的积累,从而影响泥炭。编队。其次,泥炭土具有独特的水文特征,泥炭的地下水位深度(WTD)的变化对于调节SOC转换很重要,但是当前的非队列C池模型未能包括这种动态水文过程。我们开发了一种改进的泥炭年龄队列模型,称为MILLENNIA,在全新世泥炭累积过程中使用可变的WTD驱动C动力学,从而可以利用泥炭年龄数据进行验证,并测试实际的WTD驱动的泥炭SOC储量对气候变化情景的响应。模型C动力学显示了对降水和径流以及地下水质量和分解速率对地下水位动力学的特别敏感性。我们表明,预测的SOC积累和泥炭年龄与英国泥炭地站点的观测结果相当好。平均)净碳源较弱,且对气候敏感。

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