浙江农业学报

• 环境科学 • 上一篇    下一篇

北京市大兴区南部土壤有机质空间变异及其影响因素

  

  1. (1. 福建农林大学 资源与环境学院,福建 福州 350002;2. 国家农业信息化工程技术研究中心,北京 100097;3. 农业部农业信息技术重点实验室,北京 100097;4. 北京市农业物联网工程技术研究中心,北京 100097)
  • 出版日期:2016-03-25 发布日期:2016-04-07

Spatial variability of soil organic matter and its influencing factors in southern area of Daxing District in Beijing

  1. (1. College of Resource and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China; 2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; 3. Key Laboratory of AgriInformatics, Ministry of Agriculture, Beijing 100097, China; 4. Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
  • Online:2016-03-25 Published:2016-04-07

摘要: 以北京市大兴区南部平原为研究区,基于2 272个农用地土壤样点,采用地统计方法揭示表层土壤有机质空间分布特征,并利用方差分析法和缓冲区分析法探讨其影响因素。结果表明:研究区土壤有机质含量为(11.25±3.68) g·kg-1,变异系数为32.71%;基于指数模型的空间变异拟合效果最佳,变程为7.1 km,块金效应为7.02,存在中等强度的空间相关性,由结构因素引起的变异程度略强于随机因素。土壤有机质空间分布总体呈斑块状,高值区主要分布在中轻壤质上,低值区主要分布在砂质土。除居民点外,土壤质地、土壤类型、土地利用方式、设施农业用地和畜禽养殖等因子对研究区土壤有机质空间分布均具有显著影响,黏质、耕作强度大、蔬菜用地、距设施农业用地1 km以内和距畜禽养殖地1.4 km以内的土壤易于积累有机质。上述结果可为相似区域土壤有机质空间变异特征及其影响因子研究提供参考。

关键词: 土壤有机质, 空间变异, 地统计学, 方差分析, 城郊区

Abstract: With the southern plain in Daxing District, Beijing as the study area, a total of 2 272 soil sample sites were selected in agricultural land. Spatial distribution characteristics of soil organic mather (SOM) in the surface layer were analyzed using Geostatistical method, and its influencing factors were revealed by variance analysis and buffer analysis. It was shown that SOM content varied in the range of (11.25±3.68) g·kg-1 with a coefficient of variation being 32.71%. The spatial variability distance of SOM was 7.1 km, and the SOM content was moderately spatial dependent with the nugget effect of 7.02, which suggested that the structural factors exhibited stronger effect than random factors. On the whole, the spatial distribution of SOM content were plaque shape, and its high spot was located in medium loam and light loam soil, and low spot was mainly located in sandy soil. Except residential area, soil texture, soil type, land use type, facility agricultural land and livestock and poultry industry had a significant impact on the spatial distribution of SOM. The argillaceous, high tillage intensity soil was inclined to accumulate SOM. And so was the soil which was within 1 km away from agricultural facilities land and 1.4 km away from livestock and poultry industry. These results could provide references for studies regarding spatial variability of soil organic matter and its influence factors in homogeneous regions.

Key words: soil organic matter, spatial variability, Geostatistics, variance analysis, suburban area