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作 者:吕小娜[1] 昝亚玲[1] 郭娟 LÜ Xiaon;ZAN Yaling;GUO Juan(Department of Life Science,Yuncheng University,Yuncheng,Shanxi 044000,China)
出 处:《天津农业科学》2023年第2期64-69,共6页Tianjin Agricultural Sciences
基 金:运城学院应用基础科研项目(CY-2021018);博士科研启动项目(YQ-2019013);“特色农产品发展”学科群项目(SKX-202223)。
摘 要:土壤硒能够直接影响农产品硒元素的含量,进行运城市土壤硒含量分布特征及其影响因素研究,对掌握研究区土壤硒空间分布现状,合理开发应用土壤硒资源具有重要意义。以运城市为对象,采集210个耕地表层土壤(0~20 cm),利用GS+构建的半方差变异函数模型、ArcGIS中的克里金插值法,以及SPSS相关性分析等方法对土壤硒含量空间分布特征及其影响因素进行了研究。结果表明:(1)土壤硒含量介于0.09~0.55 mg·kg^(-1)之间,平均值为0.28 mg·kg^(-1),整体处于足硒和富硒的水平,其中足硒土壤较为丰富。(2)在空间分布上,少硒土壤分布在东北区域,富硒土壤分布在南部盐湖附近,所占面积是运城市的33.49%,足硒土壤连片分布在盐湖区其余区域,所占的面积是运城市的65.10%。(3)土壤硒含量与土壤pH无相关关系,而与土壤有机质、土壤类型、成土母质和地形地貌呈显著相关关系。研究结果可为研究区富硒农业开发提供科学依据。Soil selenium can directly affect the selenium content status of agricultural products, and the study on the distribution characteristics of soil selenium content and its influencing factors in Yuncheng City is important to grasp the current situation of soil selenium spatial distribution in the study area and reasonably develop and apply soil selenium resources. The spatial distribution characteristics and influencing factors of soil selenium content were systematically studied by using the semi-variance variance function model constructed by GS +, kriging interpolation in ArcGIS and SPSS correlation analysis in 210 arable surface soils(0-20 cm) in Yuncheng City. The results indicated that the soil selenium content ranged from 0.09 to 0.55 mg·kg^(-1), with a mean value of 0.28mg·kg^(-1), and the overall was at the level of sufficient and abundant selenium, and the sufficient selenium soil was more abundant. In terms of spatial distribution, the less selenium soil was distributed in the northeast region, the selenium-rich soil was distributed in the south near the salt lake, and the area occupied was 33.49% of Yuncheng City, and the foot selenium soil was distributed contiguously in the rest of the salt lake area, and the area occupied was 65.10% of Yuncheng City. Soil selenium content was not correlated with soil p H, but significantly correlated with SOM, soil type, soil-forming parent material and topography. The results of the study can provide a scientific basis for the development of selenium-rich agriculture in the study area.
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