湖北农业科学 ›› 2021, Vol. 60 ›› Issue (17): 31-35.doi: 10.14088/j.cnki.issn0439-8114.2021.17.007

• 资源·环境 • 上一篇    下一篇

基于GIS和RDA的丘陵区土壤养分空间变异及其与地形因子的关系

宋发军   

  1. 奉节县水利局,重庆 404600
  • 收稿日期:2021-06-29 出版日期:2021-09-10 发布日期:2021-09-30
  • 作者简介:宋发军(1969-),男,重庆奉节人,高级工程师,主要从事城市河道整治效益评价研究,(电话)15830954801(电子信箱)137477424@qq.com。

Spatial variability and topography factors affecting soil nutrients in hilly area based on GIS and RDA

SONG Fa-jun   

  1. Fengjie County Water Resources Bureau,Chongqing 404600,China
  • Received:2021-06-29 Online:2021-09-10 Published:2021-09-30

摘要: 应用统计学和RDA分析法,研究大别山丘陵区土壤养分空间变异性,探讨其地形因子的分布特征。结果表明,研究区6种土壤养分均呈中等程度变异,其中速效磷、速效氮、速效钾的变异性高于全氮、全磷、有机质。土壤速效磷的最适模型为指数模型,块基比为59.05%,全磷和速效钾以球面模型拟合为佳,块基比为20.25%、44.81%,有机质、全氮、速效氮的最适模型是高斯模型,块基比为43.10%、20.41%、48.57%;其中全氮和全磷具有强烈空间自相关性,其他养分呈中等程度空间自相关。定量分析表明,11个地形因子共解释了土壤养分54.7%的变异信息,一级、二级地形因子的解释能力分别为44.6%、10.1%,其中高程、坡向、坡位对养分的综合解释能力达15.2%、14.1%、7.1%,并在0.05水平呈显著性,是区域土壤养分空间变异的主要地形因子。

关键词: 土壤养分, 空间变异, RDA, 地形因子

Abstract: Using statistics and RDA analysis, the spatial variability of soil nutrients in the hilly area of the Dabie Mountains was studied, and the distribution characteristics of its topographical factors were discussed. The results showed that moderate level of spatial variability occurred in 6 nutrients contents in the research region, and the variability of available phosphorus, available potassium and available nitrogen were stronger than total nitrogen, total phosphorus and organic matter. The nugget/still ratios were 59.05% for available and which could be modeled with the Exponential model. The nugget/still ratios were 20.25% ,44.81% for total phosphorus, available potassium respectively, which could be modeled with the spherical model. While nugget/still ratios were 43.10%,20.41% and 48.57% for organic matter, total nitrogen and available nitrogen respectively, which could be modeled with the Gaussian model. Total nitrogen and total phosphorus showed strong spatial autocorrelation, while other nutrients showed moderate spatial autocorrelation. Quantitative analysis showed that 11 factors could explain 54.7% of spatial variability in this nutrient, 44.6% of which was explained by level I terrain factors, 10.1% by level II terrain factors. Among of all topography factors, elevation, slope aspect and slope position could explain15.2%,14.1% and 7.1% of soil nutrients variability, respectively. The factors were significantly correlated with soil available potassium at P<0.05 level, which were the main factors affecting the spatial distribution of soil nutrients in the in hilly area.

Key words: soil nutrient, spatial variability, RDA, topography factors

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