基于田间数据的土壤肥力质量综合评价(英文)

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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。 A total of 104 sample data were collected from the soil surface of Jinan area of ​​Xiaoqing River. The laboratory variables including regional available soil available potassium, soil available phosphorus, soil organic matter, soil available nitrogen and soil pH were determined. Index of soil fertility quality assessment, the integrated use of statistical methods, sequential Gaussian and space lag model of soil fertility variables of spatial modeling and comprehensive evaluation. Nemero evaluation results showed that the field plots in the study area have moderate soil fertility quality, soil organic matter content has a strong correlation with soil fertility quality, which is the key factor affecting the fertility quality of the area. Spatial diagnostic modeling results of soil organic matter, soil available phosphorus and soil pH variables show that the estimation accuracy of the space lag model based on maximum likelihood method between variables is superior to the classical statistical model estimation based on least square method. The sequential Gaussian 2 000 The simulation results of Merlot index in sub-soils showed that the soil fertility had some gradient changes and showed obvious bands with high and low values, which showed the trend of decrease of fertility from the inside to the outside as a whole The study of Xiaoqing River in Jinan area of ​​?? fertilizer application has reference value.
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