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首页> 外文期刊>Global change biology >Soil organic carbon stocks in southeast Germany (Bavaria) as affected by land use, soil type and sampling depth
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Soil organic carbon stocks in southeast Germany (Bavaria) as affected by land use, soil type and sampling depth

机译:受土地利用,土壤类型和采样深度的影响,德国东南部(巴伐利亚)的土壤有机碳储量

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Precise estimations of soil organic carbon (SOC) stocks are of decided importance for the detection of C sequestration or emission potential induced by land use changes. For Germany, a comprehensive, land usespecific SOC data set has not yet been compiled. We evaluated a unique data set of 1460 soil profiles in southeast Germany in order to calculate representative SOC stocks to a depth of 1 similar to m for the main land use types. The results showed that grassland soils stored the highest amount of SOC, with a median value of 11.8 similar to kg similar to m-2, whereas considerably lower stocks of 9.8 and 9.0 similar to kg similar to m-2 were found for forest and cropland soils, respectively. However, the differences between extensively used land (grassland, forest) and cropland were much lower compared with results from other studies in central European countries. The depth distribution of SOC showed that despite low SOC concentrations in A horizons of cropland soils, their stocks were not considerably lower compared with other land uses. This was due to a deepening of the topsoil compared with grassland soils. Higher grassland SOC stocks were caused by an accumulation of SOC in the B horizon which was attributable to a high proportion of C-rich Gleysols within grassland soils. This demonstrates the relevance of pedogenetic SOC inventories instead of solely land usebased approaches. Our study indicated that cultivation-induced SOC depletion was probably often overestimated since most studies use fixed depth increments. Moreover, the application of modelled parameters in SOC inventories is questioned because a calculation of SOC stocks using different pedotransfer functions revealed considerably biased results. We recommend SOC stocks be determined by horizon for the entire soil profile in order to estimate the impact of land use changes precisely and to evaluate C sequestration potentials more accurately.
机译:对土壤有机碳(SOC)储量的精确估算对于检测土地利用变化引起的碳固存或排放潜力具有决定性的重要性。对于德国而言,尚未汇编出针对土地用途的全面SOC数据集。我们计算了德国东南部独特的1460个土壤剖面数据集,以便计算出代表性的SOC储量,其深度为1,与主要土地利用类型的m相似。结果表明,草地土壤中的SOC含量最高,中位数为11.8,类似于与m-2相似的千克,而森林和农田的蓄积量分别为9.8和9.0,类似于m-2相似的千克。土壤。但是,与中欧国家其他研究的结果相比,广泛使用的土地(草地,森林)和农田之间的差异要小得多。 SOC的深度分布表明,尽管农田A层中的SOC浓度较低,但与其他土地利用相比,它们的蓄积量并没有明显降低。这是由于与草地土壤相比,表层土壤的加深。草地SOC的增加是由于B层中SOC的积累造成的,这归因于草地土壤中富含C的Gleysol比例较高。这证明了土壤成因SOC清单的重要性,而不仅仅是基于土地使用的方法。我们的研究表明,由于大多数研究使用固定的深度增量,因此耕种诱导的SOC损耗可能经常被高估。此外,由于使用不同的pedotransfer函数进行的SOC存量计算显示出相当大的偏差结果,因此在SOC清单中应用建模参数受到了质疑。我们建议根据整个土壤剖面的水平确定SOC存量,以便准确估算土地利用变化的影响并更准确地评估C固存潜力。

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