Comparative Study on Spatial Interpolation Methods of Cultivated Soil Nutrients in Minhe County Based on GIS

LI Youwei; ZHANG Junda; CAI Liqun

doi:10.11923/j.issn.2095-4050.cjas2024-0130

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Journal of Agriculture ›› 2025, Vol. 15 ›› Issue (11) : 41-48. DOI: 10.11923/j.issn.2095-4050.cjas2024-0130

Comparative Study on Spatial Interpolation Methods of Cultivated Soil Nutrients in Minhe County Based on GIS

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Abstract

This study investigated the spatial variability of soil nutrients and evaluated various spatial interpolation methods in Minhe County, Qinghai Province. This study employed GIS spatial analysis and geostatistical methods to analyze the spatial variability of soil organic matter (SOM), total nitrogen (TN), available phosphorus (AP) and available potassium (AK). The research aimed to determine the most suitable spatial interpolation method for each nutrient. The results showed that moderate spatial variability for all nutrients, with AK exhibiting the highest variation at 55.5%, while other nutrients ranged from 34.5% to 54.8%. Spatial distribution patterns revealed higher concentrations of soil organic matter and TN in the northwest decreasing towards the southwest. AP displayed a more uniform distribution, whereas AK was highest in the central region, gradually declining northward. Interpolation accuracy assessments indicated that the common Kriging method was optimal for SOM, AP, and AK, while the radial basis function method proved most accurate for TN. These findings provided valuable insights into the spatial distribution of soil nutrients in Minhe County and offer guidance for selecting appropriate interpolation methods in similar regions.

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GIS spatial analysis / soil nutrients / spatial interpolation / semi-variance function / geostatistics / cross verification / interpolation method

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LI Youwei , ZHANG Junda , CAI Liqun. Comparative Study on Spatial Interpolation Methods of Cultivated Soil Nutrients in Minhe County Based on GIS[J]. Journal of Agriculture. 2025, 15(11): 41-48 https://doi.org/10.11923/j.issn.2095-4050.cjas2024-0130

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Cited in this article [1] Abstract

对青海省都兰县耕地土壤pH和6种养分指标（有机质、有效磷、速效钾、全氮、全磷、全钾）进行空间自相关分析，并进一步分析其空间聚集和孤立情况。以此研究结果为理论依据，以期提高都兰县农田土壤肥料利用率，实现精准农业奠定基础。经野外采样后依据NY/T 1121等现行有效标准开展土壤样品检测工作。将全域型空间自相关和局域型空间自相关相结合，分析研究区耕地土壤各指标的空间分布格局，及空间聚集情况。结果表明：研究区耕地土壤pH、有机质、有效磷、速效钾、全氮、全磷、全钾的平均值分别为8.12、17.90 g/kg、19.00 mg/kg、123.00 mg/kg、0.80 g/kg、0.80 g/kg、17.85 g/kg。全域型空间自相关在Inverse_Distance权重下，pH、有机质、全磷、全钾为空间正自相关；速效磷、速效钾和全氮为空间负自相关。Contiguity_Edges_Only和Contiguity_Edges_Coeners权重下的分析结果相同，pH、有机质、速效钾、全氮、全磷、全钾呈空间正自相关；速效磷呈空间负自相关。局域型空间自相关通过LISA聚集图，直观地得到研究区耕地土壤不同指标含量分布的聚集区和孤立区的具体位置。海拔高度与速效磷、速效钾、全氮、全磷和全钾呈负相关；坡度与速效磷、全氮和全磷呈负相关；坡向对研究区耕地土壤养分空间格局影响相对较小。全域型空间自相关分析选择不同的空间权重，对分析结果的影响较大。经局域型空间自相关分析，全氮、全磷和全钾的低含量区分布在都兰县东部的察乌苏镇和夏日哈镇，即出现了“低—低”聚集区，“高—高”聚集区出现在都兰县中部的巴隆乡和香日德镇；有机质在都兰县东部的察乌苏镇和夏日哈镇的含量较高，出现了“高—高”聚集区，“低—低”聚集区出现在宗加镇。不同地形因子与土壤养分之间的相关性存在明显的差异。

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