首页> 外文期刊>Geoderma: An International Journal of Soil Science >Modelling the abundance of soil calcium carbonate across Australia using geochemical survey data and environmental predictors
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Modelling the abundance of soil calcium carbonate across Australia using geochemical survey data and environmental predictors

机译:使用地球化学调查数据和环境预测因子对整个澳大利亚的土壤碳酸钙含量进行建模

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摘要

Soil calcium carbonate is a key component of the regolith, particularly in arid and semi-arid regions. It influences soil properties, is an important terrestrial carbon store, and is used in mineral exploration. Previous national overviews of soil carbonate distribution have been compiled from regional soil, regolith or geological maps with varying degrees of confidence and consistency. Here we develop a decision tree approach based on a piecewise linear regression model to map soil calcium carbonate abundance at the continental scale. The model is based on relationships established from 1311 field sites sampled across Australia at two depths (0-10 and similar to 60-80 cm) and 49 national environmental predictor datasets reflecting fundamental soil formation processes (e.g., climate, parent material, relief).
机译:土壤碳酸钙是重钙石的重要成分,特别是在干旱和半干旱地区。它影响土壤特性,是重要的陆地碳储藏库,并用于矿物勘探。以前国家对土壤碳酸盐分布的概述是从区域土壤,碎屑岩或地质图汇编而成的,其置信度和一致性各不相同。在这里,我们基于分段线性回归模型开发决策树方法,以绘制大陆规模的土壤碳酸钙丰度。该模型基于在澳大利亚的1111个野外站点建立的关系,这些站点在两个深度(0-10且类似于60-80厘米)在澳大利亚进行采样,并建立了49个反映基本土壤形成过程(例如气候,母体,地形)的国家环境预测数据集。 。

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