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Comprehensive evaluation of soil fertility quality based on field data

机译：基于现场数据的土壤肥力质量综合评价

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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 ia 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 seientific decision-making of soil testing recipes.
机译：基于总共104个表土（0-20cm）样品，组合与电网采样相结合，主要目的是开发土壤肥力质量的综合评价和定量模型，包括土壤可用钾，土壤可用磷，土壤有机质，土壤pH值和土壤碱水解氮。全面应用土壤肥力质量，统计方法，顺序高斯模型的确定，统计方法，阐明区域变量的空间关联。土壤肥力的结果基于Nemerow方法的质量指数（SFQI）表明，整体上存在中等土壤肥力质量，通过SOM含量IA确定土壤肥力质量，阳性相关关系在SOM含量和SFQI之间。研究还在区域变量中建立了空间滞后模型;空间滞后模型具有比古典回归模型更好的模拟精度。济南市土壤可用磷的含量在小青河，该研究具有重要的现实意义，特别是磷肥利用。本文还开发了连续高斯仿真的2000次（ SFQI的SGS地图，这通常根据土壤属性Nemerow方法提供SFQI的渐变变化，该方法中的明显高价值区域位于分区研究区域的中心，以高区域为中心，分布从内部延伸的持续值在外观上，整体上存在相对明显的分配模式，没有突然变化的SFQI分布，这促进了土壤检测食谱的信息和墓地决策。

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