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中国农学通报

中国农学通报 ›› 2020, Vol. 36 ›› Issue (1): 89-97.doi: 10.11924/j.issn.1000-6850.casb20190800577

所属专题： 耕地保护

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

晋中盆地典型耕地厚度、土壤养分空间变异

乔磊1, 黄明镜2, 张吴平1(), 王国芳1, 任健1   

  1. 1 山西农业大学资源环境学院,山西太谷 030800;
    2 山西省农业科学院旱地农业研究中心,太原 030031
  • 收稿日期:2019-08-27 修回日期:2019-10-21 出版日期:2020-01-05 发布日期:2020-01-07
  • 通讯作者: 张吴平
  • 作者简介:乔磊,男,1995年出生,山西忻州人,在读硕士,研究方向为土地信息技术。通信地址：030800 山西省晋中市太谷县铭贤南路1号 山西农业大学,E-mail：qiaolei1995@126.com。
  • 基金资助:
    山西省重点研发计划重点项目“旱作农田降水资源高效利用技术研究”(201703D211002-2);山西省科技攻关项目“水肥高效利用——山西省作物种植系统的生命周期水肥评价及其应用”(20130311008-5)

Thickness and Soil Nutrients of Typical Cultivated Land in Jinzhong Basin: Spatial Variation

Qiao Lei1, Huang Mingjing2, Zhang Wuping1(), Wang Guofang1, Ren Jian1   

  1. 1 College of Resources and Environment, Shanxi Agricultural University, Taigu Shanxi 030800;
    2 Dryland Agriculture Research Center, Shanxi Academy of Agricultural Sciences, Taiyuan 030031
  • Received:2019-08-27 Revised:2019-10-21 Online:2020-01-05 Published:2020-01-07
  • Contact: Zhang Wuping

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摘要：

旨在探究旱作区耕地土壤耕层厚度及土壤养分空间格局与变异规律。以晋中盆地典型耕地土壤为研究对象,运用地统计学方法对耕地耕层厚度及土壤养分的空间变异进行分析,土壤养分选取有机质、pH、有效磷、缓效钾4个指标。结果表明：（1）各个指标的空间自相关性都是随着距离的增加而减小;（2）有效磷的半变异函数最优模型为高斯模型,其他指标的最优模型均为指数模型。各指标的块金系数由大到小依次为：有机质>有效磷>pH>耕层厚度>缓效钾;（3）耕层厚度、有效磷均为西北高东南低的空间格局,缓效钾为东北高西南低,有机质为西南高东北低,pH除北洸乡偏低外均偏高。地统计方法能良好地描述土壤性质的空间分布和变异特征,各土壤性质的空间变异过程中随机性与结构性并存,并且随机性均小于50%。

关键词: 农田土壤, 地统计学, 莫兰指数, 耕层厚度, 土壤养分

Abstract:

The paper aims to explore the spatial pattern and spatial variation rule of thickness and soil nutrients of the cultivated land in dry farming region. Taking typical cultivated land in Jinzhong basin as the research object, we analyzed the spatial variation of thickness of cultivated layer (TCL) and soil nutrients by geostatistics method, with soil organic matter (SOM), pH value, available phosphorus (AP) and slow-effect potassium (SK) as the soil nutrients indexes. The results showed that: (1) the spatial autocorrelation of each index decreased with the increase of distance; (2) the optimum semivariance model of AP was Gaussian model, and the optimum semivariance model of other indexes was exponential model; the ratio of Nugget to Sill of each index was: SOM>AP>pH>TCL>SK; (3) the spatial pattern of TCL and AP had the tendency of higher in northwest and lower in southeast, SK had the spatial pattern of higher in northeast and lower in southwest, SOM had the spatial pattern of higher in southwest and lower in northeast, the pH value was high in the whole study area except Beiguang. In conclusion, geostatistical method can describe the spatial pattern and variation characteristics of soil properties well; in the spatial variation process of soil properties, the randomness and structure coexist, and the randomness is less than 50%.

Key words: cultivated soil, geostatistics, Moran's I, thickness of cultivated layer, soil nutrients

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