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A Comprehensive Evaluation of Soil Fertility of Cultivated Land: A GIS-Based Soil Basic Niche-Fitness Model

机译:耕地土壤肥力综合评价:基于GIS的土壤基础利基健身模型

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This paper aimed at using the niche-fitness analysis method to assess soil fertility of cultivated land in Jianghan Plain in China. By introducing the niche-fitness theory into comprehensive analysis of soil fertility, an evaluation method was developed using geographic information systems (GIS) and the soil basic niche-fitness model (SBNFM). To begin with, 10 indicators were selected and used to assess the spatial differences of soil fertility for cultivated land, and its weight was decided using analytic hierarchy process (AHP). Soil samples were collected from topsoil (0-25cm) in 58 units and examined for pH, organic matter (OM), total nitrogen (TN), etc. After standardizing soil attribute data of each unit, the optimum niche of every indicator was obtained and the soil basic niche-fitness value of each plot was calculated by using SBNFM. Finally, the soil fertility of the cultivated land was divided into four grades based on the shortest distance cluster analysis method in this area. Results indicate that the soil fertility of the cultivated land in this area was on the medium and high side, the percentages of area in grades 1, 2, 3 and 4 accounted for 33.43%, 35.99%, 22.70% and 7.88%, respectively; thus, approximately 70% of the cultivated land was classified in the top two grades. The linear-correlated relationship between niche-fitness value and rice yield has shown that SBNFM is an important and effective tool to analyze soil fertility and evaluate the quality of cultivated land. The above results might be helpful and support fertilizer management or agricultural activity in the study area.
机译:本文旨在利用利基健康分析方法评估中国江汉平原耕地土壤肥力。通过将利基适应理论引入土壤肥力的综合分析,使用地理信息系统(GIS)和土壤基础利基健身模型(SBNFM)进行评估方法。首先,选择了10个指标并用于评估土壤肥力对耕地的空间差异,并使用分析层次方法(AHP)决定其重量。在58个单位中从甲醛(0-25cm)收集土壤样品,并在标准化每个单位的土地属性数据后,检查PH,有机物质(OM),总氮(TN)等。获得每种指标的最佳利基通过使用SBNFM计算每种曲线的土壤碱性Niche-Fitness值。最后,基于该地区的最短距离聚类分析方法,将耕地的土壤肥力分为四个等级。结果表明,该地区耕地土壤肥力在中高侧,1,2,3和4级面积的百分比分别占33.43%,35.99%,22.70%和7.88%;因此,大约70%的栽培土地被分类为前两级。利基适应值和水稻产量之间的线性相关关系表明,SBNFM是分析土壤肥力的重要且有效的工具,评价耕地的质量。上述结果可能有助于和支持研究区的肥料管理或农业活动。

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