基于时空变异的旱地土壤有机碳含量最优预测插值方法  

Optimal interpolation method for predicting organic carbon content in upland soils based on spatial and temporal variability

作　　者：李丽兰 姚彩燕 于东升[3] 史学正[3] 邢世和[1,2] 张黎明 LI Lilan;YAO Caiyan;YU Dongsheng;SHI Xuezheng;XING Shihe;ZHANG Liming(College of Resources and Environment,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China;University Key Laboratory of Soil Ecosystem Health and Regulation in Fujian,Fuzhou,Fujian 350002,China;State Key Laboratory of Soil and Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Sciences,Nanjing,Jiangsu 210008,China)

机构地区：[1]福建农林大学资源与环境学院,福建福州350002 [2]土壤生态系统健康与调控福建省高校重点实验室,福建福州350002 [3]中国科学院南京土壤研究所土壤与农业可持续发展国家重点实验室,江苏南京210008

出　　处：《福建农林大学学报（自然科学版）》2023年第5期694-700,共7页Journal of Fujian Agriculture and Forestry University:Natural Science Edition

基　　金：国家自然科学基金项目(41971050);福建省自然科学基金项目(2019J01660)。

摘　　要：以3.93×10^(4)km^(2)江苏北部旱地为试验区,基于1980年和2008年两期土壤样点数据,采用8种确定性和4种地统计学插值方法预测不同时期土壤有机碳含量,并筛选出时空演变下适宜的插值方法。结果表明:1980—2008年试验区土壤有机碳含量呈上升趋势,而空间变异性和自相关性有所减弱;1980年试验区土壤有机碳含量的最优预测插值方法为反高次曲面函数法,其相关系数和均方根误差分别为0.57和2.08 g·kg^(-1);2008年试验区土壤有机碳含量的最优预测插值方法为普通克里金法,其相关系数和均方根误差分别为0.60和2.17 g·kg^(-1)。总体来看,试验区土壤有机碳含量的时空变异性对不同插值方法的预测精度有很大影响。Uplands in northern Jiangsu Province(referred to as northern Jiangsu),covering an area of 3.93×10^(4)km^(2),was selected as the experimental area,and soil organic carbon data from this area in 1980 and 2008 were interpolated by 8 deterministic and 4 geostatistical interpolation methods,so as to evaluate the prediction accuracies in different periods and work out the optimal interpo⁃lation method under spatial and temporal variability.The results showed that organic carbon content in upland soils in northern Jiang⁃su showed an uprising trend during 1980—2008,accompanied by weakened spatial variability and autocorrelation.The optimal inter⁃polation method for upland soil organic carbon contents in northern Jiangsu in 1980 was inverse multiquadric function,with correla⁃tion coefficient and root mean square error of 0.57 and 2.08 g·kg^(-1),respectively;while in 2008,the optimal interpolation method was changed to ordinary kriging method,with correlation coefficient and root mean square error reaching 0.60 and 2.17 g·kg^(-1).In general,the spatial and temporal variability of soil organic carbon in uplands in northern Jiangsu exerted a significant impact on the prediction accuracy of different interpolation methods.

关 键 词：土壤有机碳 时空变异 插值方法 旱地 

分 类 号：S15[农业科学—土壤学]