Yan Ping, Peng Hua, Yan Luobin, Zhang Shaoyun, Chen Aimin, Lin Kairong
School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
School of Geographical Sciences, Southwest University, Chongqing, Chongqing Province, China.
PeerJ. 2019 Jan 30;7:e6342. doi: 10.7717/peerj.6342. eCollection 2019.
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.
土壤pH值是影响土壤养分有效性和土壤中化学物质的主要因素。研究土壤pH值的空间变异性对于土壤养分管理和土壤污染预测具有重要意义。为了探究红层地区土壤pH值空间变异的成因,以南雄盆地为例,采用嵌套采样法(0-20厘米深度)测定了表层土壤的pH值。运用地统计学和经典统计方法分析了土壤pH值的空间变异特征,并探讨了影响土壤pH值空间变异的主要因素。南雄盆地红层地区的变异系数为17.18%,表明变异程度中等。地统计学分析表明,球状模型是解释土壤pH值变异的最优理论模型,土壤pH值受结构因素和随机因素共同影响。空间分布和格局分析表明,土壤pH值在东北和西南部相对较高,在西北部较低。这些结果表明,土地利用模式和地形因素分别是主要和次要影响因素。