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Soil distribution relationships as revealed by a global soil database

机译:全球土壤数据库揭示的土壤分布关系

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Broad quantitative relationships between the environmental factors of climate, parent material and topography and a range of important soil properties and World Reference Base (WRB) soil types were developed using the ISRIC WISE Global soil database Three different analytical approaches were used in the analysis, involving (i) multiple linear regressions, (ii) fitted decision trees and (iii) categorical analysis with median values. Despite the relatively low to moderate strengths of the derived relationships, they can provide useful first approximations of soil character under different environmental conditions and could be applied in broad quantitative soil modelling and mapping programs. They have the potential for widespread application as they should be universally applicable, are based on readily available data and do not require sophisticated quantitative modelling techniques. Most relationships are in accord with accepted pedological thinking and support the state factor model of soil formation, but some anomalies are observed and deserve further examination. The results reveal the dominant influence of climate and parent material in controlling the distribution of many soil properties, with the influence of topography being less evident, at least at the global scale. The WRB soil classification scheme is shown to be least partly guided by genetic factors.
机译:使用Isric Wise全球土壤数据库开发了气候,母体材料和地形环境因素与一系列重要土壤性能和世界参考底座(WRB)土壤类型之间的宽量定量关系。分析中使用了三种不同的分析方法,涉及(i)多元线性回归,(ii)拟合决策树和(iii)与中值值的分类分析。尽管衍生关系的中等优点相对较低,但它们可以在不同的环境条件下提供土壤特性的有用的第一近似,并且可以应用于广泛的定量土壤建模和映射计划。它们具有广泛应用的潜力,因为它们应该是普遍适用的,基于易于获得的数据,不需要复杂的定量建模技术。大多数关系均符合公认的教学思想,并支持土壤形成的状态因素模型,但观察到一些异常,值得进一步检查。结果揭示了气候和母体材料在控制许多土壤性质分布方面的主导影响,其形貌的影响不太明显,至少在全球范围内。 WRB土壤分类方案被证明是由遗传因素部分引导的。

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