水土保持研究2024，Vol.31Issue(2)：101-109,121,10.DOI:10.13869/j.cnki.rswc.2024.02.021
黄淮海平原不同土地利用方式下土壤呼吸空间变异预测
Prediction of Spatial Variation of Soil Respiration Under Different Land Use Patterns in Huang-Huai-Hai Plain
摘要
Abstract
[Objective]The aims of this study are to explore the spatial variation characteristics of soil respira-tion and the accuracy of soil respiration prediction with Kriging method,so as to provide data reference for accurate prediction of soil carbon budget in different terrestrial ecosystems.[Methods]The typical farmland,grassland and forestland in the northern part of the Huang-Huai-Hai Plain were selected as sample areas,and the co-Kriging method was used to predict soil respiration based on the auxiliary indicators of soil physical and chemical properties,so as to evaluate the accuracy of prediction with the common Kriging method.[Results]Soil respiration showed moderate variation in different land use patterns,and the coefficients of variation were 33%(farmland),24%(grassland)and 31%(forest land),respectively.The correlation distances of soil respiration space in descending order were forest land(15.12 m),farmland(3.83 m)and grassland(2.47 m).Based on correlation analysis and co-Kriging simulation,the optimal auxiliary indexes of soil respiration space variation were determined,which were carbon/P ratio(C/P),nitrogen/P ratio(N/P)and p H value in farmland.In addition to soil moisture(SM)and soil temperature(ST5),p H value and temperature(TEMP)were the unique auxiliary indexes of grassland and forestland.Soil respiration spatial variation prediction showed that the interpolation accuracy of the collaborative Kriging method was higher than that of the ordinary Kriging method,and the improvement was most obvious in the grassland.The mean absolute error(MAE),mean relative error(MRE),root mean square error(RMSE)and mean stand-ard error(MSE)increased by 10.14%,9.82%,9.10% and 10.87%,respectively.The improvement of each error accuracy was between 4.78%(MAE)and 12.09%(MRE)in forestland,and the improvement of prediction accuracy was the smallest in farmland,and the prediction accuracy of collaborative Kriging method was only 3.27% higher than that of ordinary Kriging method.[Conclusion]The co-Kriging method with the influence factors of soil respiration as auxiliary variables can more accurately predict the spatial variation characteristics of soil respiration in forestland,farmland and grassland.关键词
土壤呼吸(SR)/普通克里金/协同克里金/土地利用/地统计Key words
soil respiration(SR)/ordinary Kriging/Co-Kriging/land use/geostatistics分类
农业科技引用本文复制引用
李键,薛澄,杨扬,谢梦姣,彭正萍,王洋..黄淮海平原不同土地利用方式下土壤呼吸空间变异预测[J].水土保持研究,2024,31(2):101-109,121,10.基金项目
国家重点研发计划项目"黄淮海粮田多因子障碍消减与产能提升技术模式集成及应用"(2021YFD1901005) （2021YFD1901005）
