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Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging
Journal of Degraded and Mining Lands Management · Vol. 12 No. 3 (2025) · pp. 7723–7738
ISSN 2502-2458, 2339-076X
Published 2025-04-01
Publisher Brawijaya University
Language eng
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.
Collaboration network of the authors
13 authors ·
19 co-authorship links
· 3 across different organisations
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Universitas Halu Oleo Universitas Tompotika Luwuk IPB University Affiliation unknown
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Metadata source: OAI-PMH (metadata jurnal) http://jdmlm.ub.ac.id/index.php/jdmlm/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc)
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<dc:title xml:lang="en-US">Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging </dc:title>
<dc:creator>Katili, Hidayat Arismunandar</dc:creator>
<dc:creator>Sariani, Sariani</dc:creator>
<dc:creator>Ongky, Ongky</dc:creator>
<dc:subject xml:lang="en-US">Banggai Islands</dc:subject>
<dc:subject xml:lang="en-US">fertility status</dc:subject>
<dc:subject xml:lang="en-US">interpolation</dc:subject>
<dc:subject xml:lang="en-US">nutrients</dc:subject>
<dc:description xml:lang="en-US">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.</dc:description>
<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
<dc:date>2025-04-01</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/17057</dc:identifier>
<dc:identifier>10.15243/jdmlm.2024.120.7723</dc:identifier>
<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 12 No. 3 (2025); 7723-7738</dc:source>
<dc:source>2502-2458</dc:source>
<dc:source>2339-076X</dc:source>
<dc:source>10.15243/jdmlm.2025.123</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/17057/1415</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2025 Journal of Degraded and Mining Lands Management</dc:rights>
<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>
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Cite this article
APA 7
Katili, H. A., Sariani, S., & Ongky, O. (2025). Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging. Journal of Degraded and Mining Lands Management, 12(3), 7723–7738. https://doi.org/10.15243/jdmlm.2024.120.7723
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IEEE
H. A. Katili, S. Sariani, and O. Ongky, “Spatial distribution of nutrients to determine soil fertility in mixed farming based on geostatistical Kriging,” Journal of Degraded and Mining Lands Management, vol. 12, no. 3, pp. 7723–7738, 2025, doi: 10.15243/jdmlm.2024.120.7723.
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