Evaluation of National Arable Land Soil Quality and Influencing Factors by Combining Minimum Dataset and Improved Gray TOPSIS
In order to explore the spatial distribution and influencing factors of arable soil quality and provide a theoretical basis for guiding farmers'behaviour and promoting sustainable agroecological development.Based on the China Soil Dataset(HWSD V2.1),the minimum dataset for the evaluation of arable soil quality was constructed using principal component analysis,and combined with the grey-TOPSIS multi-objective evaluation model,the soil quality of arable land in the whole country(except Hong Kong,Macao and Taiwan)was evaluated.Geo-detectors were used to explore the degree of influence of external factors(mean annual precipitation,mean annual temperature,population density and GDP)on the soil quality of arable land.The results showed that:(1)the minimum data set could effectively reduce the correlation between indicator systems,and the improvement of the grey-TOPSIS method improved the accuracy of the arable land soil quality assessment to a certain extent.(2)According to the results of arable land soil quality as-sessment,the quality of arable land was classified into five grades,and from a national perspective,the quality of arable land soil was better in the middle and lower reaches of the Yangtze River and in South China,while the quality of arable land soil was worse in the Loess Plateau Zone,the Qinghai-Tibet Plateau Zone,and the Inner Mongolia Plateau Zone.(3)From the results of the geodetector,the average annual temperature and average annual precipitation together explained the quality of arable soil to a greater extent in 20 provinces,which was much greater than that explained by the other two factors together,and the interaction effect of the two factors was greater than that of a single factor on the quality of arable soil.In conclusion,average annual precipitation and average annual temperature were the main factors affecting the comprehensive quality of arable soils.
minimum data setgray-TOPSISsoil quality assessmentgeoprobe
万方数据
维普
