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Comprehensive evaluation of soil fertility quality based on field data

机译：基于田间数据的土壤肥力质量综合评价

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采集了小清河济南样区土壤表层的104个样点数据,进行了土壤速效钾、土壤速效磷、土壤有机质、土壤碱解氮和土壤酸碱度含量等区域化变量的实验室测定,基于内梅罗指数进行了土壤肥力质量评价,综合运用统计方法,序贯高斯模拟和空间滞后模型进行了土壤肥力要素变量的空间建模和综合评判.内梅罗评判结果表明研究区田块具有中等的土壤肥力质量,土壤有机质含量与土壤肥力质量具有较强的相关性,是影响该区肥力质量的关键因子.土壤有机质、土壤速效磷和土壤酸碱度变量的空间诊断建模结果表明,变量之间基于最大似然法的空间滞后模型的估计精度优于基于最小二乘法的经典统计模型估计,序贯高斯2 000次土壤内梅罗指数模拟结果表明土壤肥力质量具有一定的梯度变化,并呈现出高值和低值明显的条带状的分布,总体上表现为由内向外肥力质量减小的趋势特点,该研究对小清河济南样区肥料的施用具有参考意义.%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：采集了小清河济南样区土壤表层的104个样点数据,进行了土壤速效钾、土壤速效磷、土壤有机质、土壤碱解氮和土壤酸碱度含量等区域化变量的实验室测定,基于内梅罗指数进行了土壤肥力质量评价,综合运用统计方法,序贯高斯模拟和空间滞后模型进行了土壤肥力要素变量的空间建模和综合评判.内梅罗评判结果表明研究区田块具有中等的土壤肥力质量,土壤有机质含量与土壤肥力质量具有较强的相关性,是影响该区肥力质量的关键因子.土壤有机质、土壤速效磷和土壤酸碱度变量的空间诊断建模结果表明,变量之间基于最大似然法的空间滞后模型的估计精度优于基于最小二乘法的经典统计模型估计,序贯高斯2 000次土壤内梅罗指数模拟结果表明土壤肥力质量具有一定的梯度变化,并呈现出高值和低值明显的条带状的分布,总体上表现为由内向外肥力质量减小的趋势特点,该研究对小清河济南样区肥料的施用具有参考意义.%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.

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