摘要
以南水北调中线工程丹江源地区作为研究对象,采用地统计学、相关分析、回归分析和GIS等方法技术,揭示了不同地质建造单元土壤有效态微量元素的空间变异特征及其影响因素.结果表明:研究区土壤有效铁、有效锰、有效铜、有效锌和有效硼平均含量分别为45.51、42.39、1.26、3.34和0.39 mg·kg-1,其中有效铁、有效锰和有效锌含量达丰富及以上水平,有效铜含量适中,有效硼含量处于较缺乏水平;不同地质建造上土壤有效锌含量具有强的空间变异性(CV=130.4％),受结构性因素影响明显,土壤有效锰、有效硼、有效铁和有效铜具有中等强度变异(CV=52.8％～94.2％),变异程度受结构性因素和随机性因素共同影响;土壤碱解氮、速效磷、速效钾和有机质均与土壤有效态微量元素含量呈显著正相关,土壤pH与有效锰、有效铁含量呈显著负相关,与有效硼、有效铜和有效锌含量相关性不明显.总体来看,地质建造对土壤微量元素的空间变异作用具有强的解释性,为区内基于地质建造分区开展土地利用与管理提供了科学依据.
Abstract
Geostatistics,correction analysis,regression analysis and GIS technology were used to clarify the spatial variations of soil available microelements(Fe,Mn,Cu,Zn and B)and to explore their influencing factors in dif-ferent geological formation units in the source region of the Danjiang River of the Middle Route of China's South-to-North Water Transfer Project.The results showed that the average contents of soil available Fe,Mn,Cu,Zn and B were 45.51,42.39,1.26,3.34 and 0.39 mg·kg-1,respectively.Among them,the contents of available Fe,Mn and Zn were above the rich levels,available Cu reached the medium level,while available B was at the poor level.According to the results of semi-variance analysis,soil available Zn exhibited strong spatial variability(CV=130.4％)in different geological formations,influenced by structural factors.Soil available Mn,B,Fe and Cu all showed moderate spatial variabilities(CV=52.8％-94.2％),which were mainly affected by both structural and random factors.Soil available N,P,K and organic matter contents were positively correlated with soil available mi-croelements,while soil pH was negatively correlated with available Mn and Fe,but not significantly correlated with available B,Cu and Zn.Generally,the geological formation has a strong explanatory power on the spatial variation of soil available microelements,which provides a reliable reference for the utilization and management of land resources in different regions based on geological formations.
基金项目
陕西省自然科学基础研究计划项目(2022JQ-292)
陕西省重点研发计划项目(2021SF2-03)
陕西省公益性地质调查项目(202002)
陕西省公益性地质调查项目(202003)
维普
万方数据