Comprehensive evaluation of soil fertility quality based on field data

Based on a total of 104 topsoil (0-20cm) samples, combining with Grid sampling, the main objective is to develop the comprehensive evaluation and quantitative model of soil fertility quality, which included soil available potassium, soil available phosphorus, soil organic matter, soil pH value and soil alkali hydrolysable nitrogen. In the study, Nemerow method of soil fertility quality, the statistical method, sequential gaussian simulation and the spatial lag model were comprehensively applied to clarify the spatial association among the regional variables. The results of soil fertility quality index (SFQI) based on Nemerow method indicated that there was the medium soil fertility quality in the whole, and the soil fertility quality was determined by SOM content in the study area, the positive correlation relation is between SOM content and SFQI. The study also established the spatial lag model among the regional variables; the spatial lag model has the better simulation accuracy than classical regression model. Lack of soil available phosphorus in Jinan city located in Xiaoqinghe river, the study has important practical significance, especially phosphorus fertility utilization. The article also developed the 2000 times sequential gaussian simulation(SGS) maps of SFQI ,which generally provide the gradient changes from SFQI on basis of soil property Nemerow method, the obvious high value area located in the center in the zoning study area, centered in the high area, the continued value distributed extending from interior to exterior, there existed in relatively obvious distribution mode on the whole, no sudden changes of SFQI distribution, which promoted the information and scientific decision-making of soil testing recipes.