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Spatial variability pattern as key to upscaling

机译：空间变异模式是扩大规模的关键

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摘要

In contrast to approaches by which soil organism populations are predicted from soil properties based on average organism-soil relationships, spatial approaches applying state-space analysis allow the interpolation of soil organisms at unsampled positions based on locally assessed variability patterns of populations and soil properties. With adequately designed transect studies, a prediction of soil organism populations in large unsampled regions seems to be feasible. For practical purposes, the indirect assessment of soil properties characterizing soil habitats by means of geophysical measurements will be of special importance in large-scale studies. A further challenge concerns the implementation of this kind of information about soil organism-soil relationships into GIS.
机译：与基于平均生物-土壤关系从土壤特性预测土壤生物种群的方法相比，应用状态空间分析的空间方法允许根据局部评估的种群变异性和土壤属性在未采样位置插值土壤生物。通过充分设计的样带研究，预测大的未采样区域中的土壤生物种群似乎是可行的。出于实际目的，通过地球物理测量间接评估表征土壤生境的土壤特性在大规模研究中将特别重要。另一个挑战涉及将有关土壤生物与土壤关系的这种信息实施到GIS中。

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