摘要
为了解影响土壤碳、氮的主导因素及影响因素间的交互作用,以新疆维吾尔自治区博乐市为研究区,选取土地利用类型、土壤类型、高程、坡度、坡向、年均降水量和年均气温等7种影响因子,利用地理探测器模型探究各因子对研究区内土壤有机碳(SOC)、全氮(TN)空间变异的影响。结果表明:研究区SOC、TN含量达到中等水平,在空间上呈现中等变异;山地森林区的SOC、TN平均含量都高于荒漠区与绿洲区。因子探测结果表明地形因子和土地利用是决定博乐市SOC、TN含量空间格局的主导因素。交互探测与风险探测结果显示,影响因子与SOC、TN之间主要作用方式为非线性增强和双因子增强,地形因子与其他因子交互之后的解释力明显增强。博乐市SOC、TN平均最大值出现的区域高程1446~2941m,坡度15~35°,坡向为半阳坡,年均降水量为533.3~685.6mm,年均气温-0.8~3.0℃,土地利用类型为林地,土壤类型为黑钙土。通过对比地理探测模型中因子探测和Pearson相关性分析的结果,发现因子探测分析解释力与相关系数呈现较为一致,表明地理探测器在SOC、TN研究中具有较好适用性。
In order to understand the dominant factors affecting soil carbon and nitrogen and the interaction between the influencing factors,seven influencing factors,including land use type,soil type,elevation,slope,slope direction,average annual precipitation and average annual temperature,were selected in Bole City as the study area,and the influence of each factor on the spatial variation of soil organic carbon(SOC)and total nitrogen(TN)in the study area was investigated using a geodetector,model.The results showed that the SOC and TN contents in the study area reached moderate levels and showed moderate spatial variability,the average SOC and TN contents in the mountainous forest area were higher than those in the desert and oasis areas.The results of factor detection indicate that topographic factors and land use are the dominant factors in determining the spatial pattern of soil SOC and TN content in Bole.The interaction and risk detection results show that the main mode of action between the influencing factors and SOC and TN is non-linear enhancement and two-factor enhancement,and the explanatory power of topographic factors is significantly enhanced after interaction with other factors.The areas where the maximum values of TN and SOC contents of the soil appear are on the condition of DEM in 1446~2941m,slope in 15~35°,aspect in semi-positive,the average annual precipitation is 533.3~685.6 mm,the average annual temperature ranges between-0.8~3.0℃,the land use type is woodland,and the soil type is black calcium soil.By comparing the results of factor detection and Pearson correlation analysis in the geodetection model,it is found that the explanatory power of factor detection analysis is more consistent with the correlation coefficient,indicating that the geodetector has better applicability in the study of SOC and TN.The results showed that the explanatory power of the factor detection analysis and the correlation coefficient were in good agreement,indicating that the geodetector has good applicability in SOC and TN studies.
作者
李淑璇
王勇辉
刘涛涛
LI Shu-xuan;WANG Yong-hui;LIU Tao-tao(School of Geography and Tourism,Xinjiang Normal University,Urumqi,Xinjiang,830054,China;Laboratory of Lake Environment and Resources in Arid Zone,Urumqi,Xinjiang,830054,China)
出处
《新疆师范大学学报（自然科学版）》
2023年第1期42-50,共9页
Journal of Xinjiang Normal University(Natural Sciences Edition)
基金
新疆师范大学校级科研资助项目(XJNUSYS2019A16)。
关键词
土壤有机碳
全氮
影响因子
地理探测器
博乐市
Soil organic carbon
Total nitrogen
Impact factors
Geodetic detector
Bole city
