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Methane emissions from soils: synthesis and analysis of a large UK dataTI Methane emissions from soils: synthesis and analysis of a large UK data set

机译:土壤甲烷排放量:英国大量数据的合成与分析TI土壤甲烷排放量:英国大型数据集的合成与分析

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Nearly 5000 chamber measurements of CH4 flux were collated from 21 sites across the United Kingdom, covering a range of soil and vegetation types, to derive a parsimonious model that explains as much of the variability as possible, with the least input requirements. Mean fluxes ranged from -0.3 to 27.4 nmol CH4 m-2 s-1, with small emissions or low rates of net uptake in mineral soils (site means of -0.3 to 0.7 nmol m-2 s-1) and much larger emissions from organic soils (site means of -0.3 to 27.4 nmol m-2 s-1). Less than half of the observed variability in instantaneous fluxes could be explained by independent variables measured. The reasons for this include measurement error, stochastic processes and, probably most importantly, poor correspondence between the independent variables measured and the actual variables influencing the processes underlying methane production, transport and oxidation. When temporal variation was accounted for, and the fluxes averaged at larger spatial scales, simple models explained up to ca. 75% of the variance in CH4 fluxes. Soil carbon, peat depth, soil moisture and pH together provided the best sub-set of explanatory variables. However, where plant species composition data were available, this provided the highest explanatory power. Linear and nonlinear models generally fitted the data equally well, with the exception that soil moisture required a power transformation. To estimate the impact of changes in peatland water table on CH4 emissions in the United Kingdom, an emission factor of +0.4 g CH4 m-2 yr-1 per cm increase in water table height was derived from the data.
机译:从英国的21个地点整理了近5000个CH4通量的测量室,覆盖了一系列土壤和植被类型,以推导简约模型,该模型可以解释尽可能多的变异性,而输入需求最少。平均通量范围为-0.3至27.4 nmol CH4 m-2 s-1,矿物土壤中的排放量很小或净吸收率较低(实地平均值为-0.3至0.7 nmol m-2 s-1),而排放量则更大有机土壤(现场平均值为-0.3至27.4 nmol m-2 s-1)。观测到的瞬时通量变化的不到一半可以通过测量的独立变量来解释。其原因包括测量误差,随机过程,以及可能最重要的是,所测量的自变量与影响甲烷生产,运输和氧化过程的实际变量之间的对应关系较差。当考虑到时间变化,并且通量在更大的空间尺度上平均时,简单的模型可以解释到大约。 CH4通量变化的75%。土壤碳,泥炭深度,土壤湿度和pH值一起提供了解释变量的最佳子集。但是,在可获得植物物种组成数据的地方,这提供了最高的解释力。线性和非线性模型一般都很好地拟合了数据,但土壤水分需要进行功率转换。为了估算英国泥炭地地下水位变化对CH4排放的影响,从数据得出每厘米水位高度增加的排放因子为+0.4 g CH4 m-2 yr-1。

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