浙江农业学报

• 环境科学 • 上一篇    下一篇

基于空间技术的果化示范区土壤电导率空间自相关研究

  

  1. (1 惠州学院 旅游系,广东 惠州 516007;2 广西师范大学 环境与资源学院,广西 桂林 541004;3 中国地质科学院 岩溶地质研究所,广西 桂林 541004)
  • 出版日期:2014-09-25 发布日期:2014-10-11

Spatial autocorrelation of soil electric conductivity in Guahua demonstration zone based on spatial technology

  1. (1 Tourism Department, Huizhou University, Huizhou 516007, China;2 College of Environment & Resources, Guangxi Normal University, Guilin 541004, China; 3 Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China)
  • Online:2014-09-25 Published:2014-10-11

摘要: 为指导典型岩溶区的农业生产,保障区域土壤资源的可持续利用,应用经典统计学与“3S”技术,将土壤电导率室内布点与实地监测相结合,研究果化示范区土壤电导率的空间自相关特征。结果表明,示范区土壤电导率的数值变异较大,属强度变异(CV>30%)。各深度土壤电导率的Moran指数呈正向的空间关联,其关联程度随土壤深度的增加而减小。果化示范区内土壤电导率绝大多数属于“低—低”空间集聚类型,低值区分布较为集中,且多被附近的低值区包围。5和10 cm深度土壤电导率的空间自相关尺度均为2 200 m;20和30 cm深度土壤电导率的空间自相关尺度分别为1 400和1 000 m。

关键词: 土壤, 电导率, 空间自相关

Abstract: In order to guide agricultural production, and provide references for the sustainable use of soil resources, the spatial auto\|correlated characteristics of soil electric conductivity in Guohua demonstration zone were studied using classical statistics and “3S” technology, along with the combination of indoor sampling and field monitoring. It was shown that the variation of soil electric conductivity in Guohua demonstration zone was intensive (CV>30%). The spatial distribution of soil electric conductivity was positively auto\|correlated with soil depth, which decreased with the increase of soil depth. Soil conductivity in the study zone belonged to the “low\|low” spatial agglomeration type. The spatial distribution of low\|value area was relatively concentrated, and was mostly surrounded by adjacent low\|value areas. The spatial autocorrelation distance of soil electric conductivity was 2 200 m in 5 and 10 cm soil depth, and was 1 400 and 1 000 m, respectively, in 20 and 30 cm soil depth.

Key words: soil, electric conductivity, spatial autocorrelation