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茶园土壤有机质分布有明显的空间性,如何凭借有限的采样点数据预测研究区的有机质分布,对了解茶叶种植区土壤状况、指导茶园经营管理、提高茶叶品质和产量有重要意义。本文对江浙4种名茶种植区,利用描述性统计,以及地统计学中的半方差函数模型、空间插值等方法对比分析了茶园土壤有机质的空间异质性。研究结果表明:(1)4个研究区的土壤有机质平均水平均较高,适合茶叶生长,且浙江省2个茶叶种植区的有机质平均水平高于江苏省2个茶叶种植区的有机质水平;(2)半方差函数模型拟合表明,溪龙乡种植区有机质含量表现出中等空间相关性,而其他3个种植区表现出强烈的空间相关性;(3)各种植区土壤有机质的空间分布以结构性因子(土壤理化性质、地形地貌)为基础,受人类活动、经营模式、茶园管理等随机性因子影响,整体趋势上表现出局部变异的特征。
The distribution of soil organic matter in tea plantation has obvious spatial characteristics. How to predict the distribution of organic matter in the study area by means of limited sampling points is of great significance to understand the soil condition in tea plantation area, guide the operation and management of tea plantation, and improve the quality and yield of tea. This paper compares the spatial heterogeneity of soil organic matter in tea plantation by using descriptive statistics, semi-variance function model in geostatistics, spatial interpolation and other methods. The results showed that: (1) The average soil organic matter in four study areas was high, which was suitable for the growth of tea. The average level of organic matter in two tea growing areas in Zhejiang Province was higher than that in two tea growing areas in Jiangsu Province. ( 2) The fitting of the semivariance function model shows that the organic matter content of Xilong Township showed medium spatial correlation, while the other three showed strong spatial correlation; (3) The spatial distribution of soil organic matter Structural factors (soil physical and chemical properties, topography), based on human activities, business models, management of tea plantation and other random factors, the overall trend showed the characteristics of local variation.