贵州省土壤锰的空间异质性及其影响因子

王烨; 刘方; 朱健; 陈祖拥; 刘元生

文章摘要

贵州省土壤锰的空间异质性及其影响因子

Spatial differentiation and influencing factors of soil manganese in Guizhou Province, China

Received:July 14, 2022 Revised:September 05, 2022

DOI：10.13254/j.jare.2022.0463

中文关键词: 土壤锰，空间分布，GIS，地理探测器，影响因素

英文关键词: soil manganese, spatial distribution, GIS, Geodetector, influencing factor

基金项目:国家自然科学基金委员会-贵州省人民政府喀斯特科学研究中心项目（U1612442）；贵州省科技计划项目（黔科合平台人才〔2017〕5788号）

Author Name	Affiliation	E-mail
WANG Ye	College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China Key Laboratory of Karst Geological Resources and Environment, Ministry of Education, Guiyang 550025, China
LIU Fang	College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China Key Laboratory of Karst Geological Resources and Environment, Ministry of Education, Guiyang 550025, China	lfang6435@163.com
ZHU Jian	College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China Key Laboratory of Karst Geological Resources and Environment, Ministry of Education, Guiyang 550025, China
CHEN Zuyong	Institute of Environment and Resources, Guizhou University, Guiyang 550025, China
LIU Yuansheng	Institute of Environment and Resources, Guizhou University, Guiyang 550025, China

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中文摘要:

为探究贵州省土壤锰（Mn）的空间分布特点，本研究对贵州省376个采样点土壤锰含量进行空间插值，再与贵州省不同类型环境因子分布矢量数据进行叠加分析，利用地理探测器探明土壤锰空间异质的主要影响因子。结果表明，贵州省不同类型土壤锰含量具有明显的差异性，平均含量依次为石灰土>棕壤>红壤>黄棕壤>黄壤>紫色土，表层土壤锰含量范围为2.57~5 203.98 mg·kg^-1，平均值为876.92 mg·kg^-1，变异系数为0.89，具有较强变异性。贵州省依据土壤锰含量水平可划分为低锰区（0~500 mg·kg^-1）、中锰区（>500~700 mg·kg^-1）、富锰区（>700~1 200 mg·kg^-1）、高锰区（>1 200 mg·kg^-1），全省土壤以富锰水平为主，面积占比达54.05%。空间块金系数达0.51，表明土壤锰分布具有空间中等自相关性。利用地理探测器模型定量评估发现，与锰含量显著相关（P<0.05）的影响因子解释力大小依次为年代地层（0.20）、地质岩性（0.17）、海拔（0.09）、土地利用类型（0.03）；年代地层与地质岩性的组合变化是影响土壤锰空间异质性最主要的因素，在此基础上，海拔和土地利用类型进一步影响土壤锰空间异质性。可见，贵州省土壤锰的空间分布是多种因素共同作用的结果，对区域土壤锰含量水平进行分区有助于指导土地资源的区域生态管理与安全利用。

英文摘要:

To explore the spatial distribution characteristics of soil manganese(Mn) in Guizhou Province, the spatial interpolation of soil Mn content at 376 sampling points in Guizhou Province was performed. The data were spatially superimposed with vector data of different types of environmental factors, and the main effects on the spatial heterogeneity of soil Mn were analyzed using Geodetector. The results indicated clear differences in the Mn content of different types of soils in Guizhou Province. The order of the average content was lime soil>brown soil>red soil>yellow-brown soil>yellow soil>purple soil. The Mn content of the topsoil was 2.57-5 203.98 mg·kg^-1, with an average value of 876.92 mg·kg^-1. The variable coefficient was 0.89 with substantial variation. Soil Mn content can be divided into four zones in Guizhou Province:the low Mn zone(0-500 mg·kg^-1), middle Mn zone(>500-700 mg·kg^-1), rich Mn zone(>700-1 200 mg·kg^-1), and high Mn zone(>1 200 mg·kg^-1); 54.05% of the soil in Guizhou Province could be classified as Mn-rich soil. The nugget coefficient of soil Mn in Guizhou Province was 0.51, indicating that the distribution of soil Zn had moderate spatial autocorrelation. The quantitative evaluation by Geodetector found that the explanatory power of the influencing factors significantly correlated with Mn content(P<0.05), in the order of chronostratigraphy(0.20), lithology(0.17), elevation(0.09), and land use type(0.03). The combination of chronostratigraphy and lithology is the most important factor affecting the spatial heterogeneity of soil Mn, and based on their combination, elevation and land use type further affect the spatial heterogeneity of soil Mn. The spatial distribution of soil Mn is the result of the combined effect of many factors. The zoning of regional soil Mn content can help guide regional ecological management and safe utilization of land resources.

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