Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging

Soil fertility maps are vital tools in agriculture and land management, offering essential information for decision-makers. The availability of soil nutrients significantly impacts crop production. This study aimed to assess soil nutrient content and develop a soil fertility map for mixed farmland in the Banggai Islands region of Central Sulawesi, Indonesia. The research involved soil sampling at a depth of 0-20 cm from 60 random points, followed by laboratory analysis and geostatistical interpolation using the Kriging Semivariogram (Spherical) method in ArcGIS to create the soil fertility status map. Validation was conducted using absolute mean error (AME) and absolute error of variation (AVE). Results indicated that soil pH in the area ranged from slightly acidic to neutral, while organic C, nitrogen, and cation exchange capacity were evenly distributed but classified as low to medium fertility. Potassium levels were consistently low across the study area. Additionally, available phosphorus varied from low to very high, and base saturation was predominantly high to very high. By overlaying the nutrient distribution maps, three soil fertility categories, very low, low, and medium, were identified. These findings offer valuable insights into nutrient management and sustainable agricultural practices in the Banggai Islands, Central Sulawesi.

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Publication Details

Journal
Journal of Degraded and Mining Lands Management
Published
2025-03-31
DOI
https://doi.org/10.15243/jdmlm.2024.120.7723
Citations
2
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
4.84
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article

Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging

Sariani Sariani, Hidayat Arismunandar Katili, Ongky Ongky
2 citations
Journal of Degraded and Mining Lands Management
Soil and Land Suitability Analysis
4.84
article

Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging

Sariani Sariani, Hidayat Arismunandar Katili, Ongky Ongky
article en
2 citations

Abstract

Soil fertility maps are vital tools in agriculture and land management, offering essential information for decision-makers. The availability of soil nutrients significantly impacts crop production. This study aimed to assess soil nutrient content and develop a soil fertility map for mixed farmland in the Banggai Islands region of Central Sulawesi, Indonesia. The research involved soil sampling at a depth of 0-20 cm from 60 random points, followed by laboratory analysis and geostatistical interpolation using the Kriging Semivariogram (Spherical) method in ArcGIS to create the soil fertility status map. Validation was conducted using absolute mean error (AME) and absolute error of variation (AVE). Results indicated that soil pH in the area ranged from slightly acidic to neutral, while organic C, nitrogen, and cation exchange capacity were evenly distributed but classified as low to medium fertility. Potassium levels were consistently low across the study area. Additionally, available phosphorus varied from low to very high, and base saturation was predominantly high to very high. By overlaying the nutrient distribution maps, three soil fertility categories, very low, low, and medium, were identified. These findings offer valuable insights into nutrient management and sustainable agricultural practices in the Banggai Islands, Central Sulawesi.

Journal of Degraded and Mining Lands ManagementVol. 12(3)
Tadulako University (ID), Universitas Tompotika Luwuk (ID)
Openalex Percentile: Top 7%
Soil and Land Suitability Analysis
4.84
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Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging — Sariani Sariani, Hidayat Arismunandar Katili, et al. · Journal of Degraded and Mining Lands Management (2025) | TGRS Research Map | TGRS