江浙典型茶园的土壤速效钾空间分布

发布时间：2018-06-17 19:26

本文选题：速效钾 + 茶园　；参考：《山地学报》2017年02期

【摘要】：钾是茶叶生长过程中必不可少的营养元素,研究其空间变异规律可为茶园的养分施用与经营管理提供理论指导,为切实提高茶叶质量和产量提供建议。论文以江、浙优质茶叶种植区内的速效钾含量为研究对象,运用描述统计学分析、半方差函数模型以及空间插值方法分析钾元素在不同地域条件下的空间变异特征及其影响因素。研究结果表明:(1)天目湖和溪龙乡种植区的速效钾含量平均值明显高于龙井村和东山镇种植区,其中溪龙乡最高,东山镇最低。(2)半方差函数模型拟合显示江苏两个茶叶种植区速效钾含量有中等空间相关性,浙江两个茶叶种植区速效钾含量空间相关性较弱。(3)插值结果显示江苏省两个茶叶种植区的速效钾含量高值区均在西南和东北部,浙江省两个种植区的速效钾含量高值区分布较分散。(4)四个种植区的速效钾分布均受到结构性因素和随机性因素共同作用,浙江省两个茶叶种植区受随机性因素影响更大。
[Abstract]:Potassium is an essential nutrient element in tea growing process. The study of its spatial variation law can provide theoretical guidance for nutrient application and management in tea garden, and provide suggestions for improving tea quality and yield. In this paper, the content of available potassium in high quality tea planting area of Jiangsu and Zhejiang provinces was used as the research object, and descriptive statistical analysis was used to analyze the content of available potassium. The semi-variance function model and spatial interpolation method were used to analyze the spatial variation characteristics of potassium element in different regions and its influencing factors. The results showed that the average value of available potassium in Tianmu Lake and Xilongxiang planting area was significantly higher than that in Longjing Village and Dongshan Town, among which Xilongxiang was the highest. The fitting of semi-variance function model of Dongshan Town showed that there was a moderate spatial correlation between available potassium content in two tea growing areas in Jiangsu Province. The spatial correlation of available potassium content in two tea growing areas in Zhejiang Province was weak. The results of interpolation showed that the high value areas of available potassium content in two tea growing areas of Jiangsu Province were in the southwest and northeast of China. The distribution of available potassium in the high value areas of two planting areas in Zhejiang Province was more dispersed than that in the four growing areas. The distribution of available potassium in the four planting areas was affected by both structural and random factors, and the two tea growing areas in Zhejiang Province were more affected by random factors.
【作者单位】：南京师范大学新型城镇化与土地问题研究中心;江苏省地理信息资源开发与利用协同创新中心;江苏省物质循环与污染控制重点实验室;
【基金】：国家自然科学基金项目(41271189;41671174)~~
【分类号】：S158;S571.1

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