Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 南四湖区农田土壤有机质和微量元素空间分布特征及影响因素 DOI: 10.5846/stxb201307181906 作者: 作者单位: 山东农业大学资源与环境学院,山东农业大学资源与环境学院,山东农业大学资源与环境学院,平邑经济开发区管理委员会,诸城国土局 作者简介: 通讯作者: 中图分类号: 基金项目: 山东省自然科学基金项目(Y2008H03);山东省科技攻关项目支持(2009GG10006006) Spatial distribution and influencing factors of farmland soil organic matter and trace elements in the nansihu region Author: Affiliation: College of Resources and Environment Shandong Agricultural University,Tai’an,College of Resources and Environment Shandong Agricultural University,Tai’an,College of Resources and Environment Shandong Agricultural University,Tai’an,Administration Commission of Pinyi Economic Development Area,Pinyi,Zhucheng Land and Resources Bureau,Zhucheng Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:基于地统计学和GIS技术相结合的方法,研究了南四湖区农田土壤有机质和微量元素的空间分布特征及其影响因素。结果表明,土壤有机质和微量元素均属中等变异程度,除硼符合正态分布外,其余土壤属性均符合对数正态分布。结构分析表明,除硼为纯块金效应外,土壤有机质和其它微量元素空间自相关性较强,其中结构性因素起主导作用。克里格插值结果表明,土壤有机质分布总体趋势为由北向南逐渐降低,锰、铜、锌分布总体趋势为中部高,南北两端低。影响因素分析表明,土壤类型、耕层质地、坡度、土地利用类型和地貌类型对土壤有机质均有显著影响。土壤类型主要是由于成土母质的差异影响土壤有机质的高低与分布,随质地由砂变粘、坡度由低变高,土壤有机质含量逐步升高,田间管理水平的差异是造成不同土地利用类型下土壤有机质含量差异的主要原因。微量元素中,除硼不受影响外,铁、锰、铜和锌与土壤类型、耕层质地、坡度、土地利用类型和地貌类型密切相关。 Abstract:Soil organic matter (SOM) and trace elements are important indicators of soil quality for sustainable agriculture. The study of spatial distribution and influencing factors of soil organic matter and trace elements provided references for understanding regional soil characteristics,soil fertility and quality optimization and farmland ecological environment protection. A total of 1021 soils samples were taken in the Nansihu region, China, for SOM and trace elements analysis. The spatial distribution of SOM and these trace elements was determined using geostatistics and GIS technology such as semivariogram, ordinary Kriging interpolation, and spatial analysis methods. Factorings related with the spatial variations including soil types, soils texture, slope, land uses, and land forms were examined. Descriptive statistics showed that SOM averaged 14.66 g/kg with a coefficient of variation (CV) of 13.2%. Among the five trace elements, the average content was highest for Mn (10.66 mg/kg) and lowest for B (0.57 mg/kg). The CV was smallest for Fe(35.1%) and largest for B (96.5%). The normal distribution test showed that B was accorded with normal distribution while SOM, Fe, Mn, Cu and Zn conformed to logarithmic normal distribution. Semivariogram analyses indicated that B was of the pure nugget effect, with constant variation in the study scale. SOM, Fe, Mn, Cu and Zn displayed strong spatial autocorrelation and the structural factors played a leading role. The spatial correlation distance was 84 m for SOM, and ranged from 162 m (Fe) to 2572 m (Mn) for trace elements. The ordinary kriging interpolation results showed that the overall trend of SOM distribution was gradually decreased from north to south. The higher soil organic matter values were mainly distributed in the flat area. The values of Fe were highest in the northern mountainous area and hilly land (>14 mg/kg) and lowest in the South (3-9 mg/kg). A spatial pattern with higher concentrations in the central area than in the north and south area was observed for Mn, Cu and Zn. This was especially so for Mn ranging from <5 mg/kg on the north and south sides to >13 mg/kg in the central area. No significant spatial variation was observed with B (mostly >0.55 mg/kg).Soil type and topsoil texture were the predominant factors influencing spatial variations of SOM and trace elements except for B. SOM content was highest in the paddy soil. Fe, Mn contents were highest in the cinnamonic soil. Cu and Zn contents were highest in the mortar black soil. SOM increased with increasing clay content. Fe and Mn were highest in heavy loam. Cu was highest in slight loam and Zn was highest in sandy loam. Slope had a certain influence on some indicators, but the effect was small. The organic matter content increased with increasing slope. Land use types had significant influence on SOM, Fe and Cu, but had no effect on Mn, Zn and B. Contents of SOM, Fe and Cu was higher in paddy field. Topographic types had a greater influence on SOM, Fe, Mn and Zn, but had no impact on Cu and B, and the contents of trace elements were higher in depression. 参考文献 相似文献 引证文献

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