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本文以我国热带地区海南儋州一个典型农场为样区,采用地统计学方法研究土壤质量指标的空间变异。研究选择了土壤质量评价最小数据集中的7项土壤质量指标(总有机碳,容重,粘粒含量,速效P、K,阳离子交换量,pH)进行分析,统计分析的结果表明,研究区域土壤存在酸化和养分贫瘠化现象。地统计学分析结果表明,表层土壤基底值普遍高于表下层土壤,说明表层土壤由于受随机因素影响更为强烈导致空间变异性增强。在各项土壤质量指标中,pH和土壤容重主要表现为基底效应,总有机碳、阳离子交换量,速效P、K含量以及亚表层土壤粘粒含量表现出中等空间相关性,表层粘粒含量空间变异随距离增加而增加。在GIS支持下,采用块段克立格方法(blockkriging)进行各项土壤质量指标的空间内插得到指标的等级分布图。研究结果可以为进一步的土壤质量综合评价提供方法和理论依据。
In this paper, a typical farm in Hainan Zhuozhou, a tropical region of China, was used as a sample area to study the spatial variability of soil quality indicators by geostatistics. Seven soil quality indicators (total organic carbon, bulk density, clay content, available P, K, cation exchange capacity and pH) in the minimum soil quality evaluation data set were selected for analysis. The statistical analysis showed that there was soil in the study area Acidification and nutrient depletion. Geostatistical analysis results show that the surface soil basement values are generally higher than the underlying soil, indicating that surface soil due to random factors more strongly lead to increased spatial variability. Among all the soil quality indicators, pH and soil bulk density mainly showed basal effect, total organic carbon, cation exchange capacity, available P and K content and subsoil soil clay content showed a moderate spatial correlation, surface clay content space Variation increases with distance. With the support of GIS, block kriging method was used to carry out the spatial interpolation of soil quality indexes to get the level distribution of indexes. The results can provide a method and theoretical basis for further evaluation of soil quality.