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Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China

机译:土壤pH的空间变异和土地利用作为中国南雄盆地红床主要影响因素

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摘要

Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for the management of soil nutrients and the prediction of soil pollution. In order to explore the causes of spatial variability in soil pH in red-bed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of soil pH were analyzed by geostatistics and classical statistical methods, and the main factors influencing spatial variability in soil pH are discussed. The coefficient of variation in the red-bed areas of Nanxiong Basin was 17.18%, indicating moderate variability. Geostatistical analysis showed that the spherical model is the optimal theoretical model for explaining variability in soil pH, which is influenced by both structural and random factors. Analysis of the spatial distribution and pattern showed that soil pH is relatively high in the northeast and southwest, and is lower in the northwest. These results indicate that land use patterns and topographic factors are the main and secondary influencing factors, respectively.
机译:土壤pH是影响土壤中土壤养分可用性和化学物质的主要因素。研究土壤pH值的空间变异性具有重要意义,为土壤养分管理及土壤污染预测。为了探讨在红床区土壤pH中的空间变异性的原因,选择南方南部盆地作为一个例子,通过嵌套取样(0-20cm深度)在甲状腺下测量土壤pH。通过地统计学和经典统计方法分析了土壤pH的空间可变性特征,并讨论了影响土壤pH下空间变异性的主要因素。南兴盆地红床区的变异系数为17.18%,表明中等变异性。地质统计分析表明,球面模型是解释土壤pH中可变性的最佳理论模型,其受结构和随机因素的影响。空间分布和模式的分析表明,东北和西南土壤pH相对较高,西北部较低。这些结果表明,土地利用模式和地形因素分别是主要和二次影响因素。

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