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<p>Maintaining soil health and nutrient balance is fundamental for sustainable agriculture, particularly in regions with complex terrain and variable climatic conditions. This study investigates the spatial variability of soil texture and macronutrient distribution in Kannur District, Kerala, India, using geospatial analysis. Twenty-four representative surface soil samples were collected and analyzed for physicochemical parameters such as pH, electrical conductivity (EC), bulk density, porosity, permeability, and macronutrients. GIS-based interpolation and thematic mapping techniques were applied to visualize the spatial distribution of these parameters. The soils were found to be slightly acidic to near-neutral (pH 5.6–7.0) and non-saline (EC 0.15–0.42 dS/m). Nitrogen, phosphorus, and potassium exhibited moderate heterogeneity, while calcium, magnesium, and chloride remained within permissible limits. Sandy loam, sandy clay, and silty clay were the predominant soil types, reflecting clear spatial heterogeneity across the district. Sandy soils showed higher permeability, whereas finer-textured soils displayed greater porosity and nutrient retention. The integration of field measurements and GIS mapping demonstrates the significance of spatial information science in identifying soil variability zones and provides a methodological framework for precision agriculture and sustainable land-use management in tropical regions.</p>

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Spatial analysis of soil texture and macronutrients using geospatial techniques in Kannur district, Kerala, India

  • 期刊论文

  • 发表日期：

    2025年12月15日

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  • Thangavelu Arumugam,
  • Sapna Kinattinkara,
  • Vinaykumar Gaddam

摘要

Maintaining soil health and nutrient balance is fundamental for sustainable agriculture, particularly in regions with complex terrain and variable climatic conditions. This study investigates the spatial variability of soil texture and macronutrient distribution in Kannur District, Kerala, India, using geospatial analysis. Twenty-four representative surface soil samples were collected and analyzed for physicochemical parameters such as pH, electrical conductivity (EC), bulk density, porosity, permeability, and macronutrients. GIS-based interpolation and thematic mapping techniques were applied to visualize the spatial distribution of these parameters. The soils were found to be slightly acidic to near-neutral (pH 5.6–7.0) and non-saline (EC 0.15–0.42 dS/m). Nitrogen, phosphorus, and potassium exhibited moderate heterogeneity, while calcium, magnesium, and chloride remained within permissible limits. Sandy loam, sandy clay, and silty clay were the predominant soil types, reflecting clear spatial heterogeneity across the district. Sandy soils showed higher permeability, whereas finer-textured soils displayed greater porosity and nutrient retention. The integration of field measurements and GIS mapping demonstrates the significance of spatial information science in identifying soil variability zones and provides a methodological framework for precision agriculture and sustainable land-use management in tropical regions.