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The inventory-based approach for prediction of SOC change following land use change

机译:基于清单的方法预测土地利用变化后的SOC变化

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This paper describes and illustrates an approach to predict soil organic carbon (SOC) change in time after land use change as derived from SOC differences in space. The approach requires the availability of a SOC inventory for spatially explicit combinations of soil and land use type, further termed landscape units (LSU). SOC of LSU with equal soil type but different land use type are compared and the observed differences in SOC are interpreted as the expected SOC change after the corresponding landuse change. From a confrontation with time series of agro-statistical data on crop and grassland areas and on animal manure production, we conclude that the approach is a low-cost alternative for more complex methods like multi-temporal assessments and modelling, provided that (i) an inventory reflecting current management and climate conditions and (ii) additional information on the extent and type of recent land use changes are available. Examples of land use and land management changes are discussed,such as grassland - cropland conversions, the conversion of permanent to temporary grassland, or changes in manure application.
机译:本文描述并说明了一种方法,该方法可根据空间SOC差异推算土地用途变化后土壤有机碳(SOC)的时间变化。该方法要求提供用于土壤和土地使用类型的空间明确组合的SOC清单,进一步称为景观单位(LSU)。比较土壤类型相同但土地利用类型不同的LSU的SOC,并将观测到的SOC差异解释为相应土地利用变化后的预期SOC变化。通过与农作物和草原地区以及动物粪便生产的农业统计数据的时间序列对立,我们得出结论,该方法是低成本的替代方法,可用于更复杂的方法,如多时相评估和建模,前提是(i)反映当前管理和气候条件的清单,以及(ii)有关近期土地用途变化的程度和类型的更多信息。讨论了土地利用和土地管理变化的例子,例如草地-农田的转换,永久性草地到临时性草地的转换或粪便施用的变化。

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