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Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils

SAINS TANAH - Journal of Soil Science and Agroclimatology · Vol. 22 No. 1 (2025) · hlm. 231–243

DOI
10.20961/stjssa.v22i1.93460
ISSN
2356-1424, 1412-3606
Terbit
2025-06-30
Penerbit
Universitas Sebelas Maret
Bahasa
en

Abstrak

The accurate estimation of soil organic carbon stocks (SOCs) is crucial in sustainable oil palm plantation management. Pedotransfer functions (PTFs) serve as an essential predictive tool for enhancing the interpretation and estimation of soil organic carbon stocks (SOCs) and soil porosity. This study aims to improve the precision of SOCs and soil porosity predictions across diverse soil types within oil palm plantations through the application of PTFs. The study was conducted using a survey approach and descriptive exploration in an oil palm plantation in Seruyan District, Central Kalimantan. The study area encompassed four distinct soil types (Alfisols, Inceptisols, Ultisols, and Entisols), with six replicates for each soil type. Soil samples were collected from a depth of 0–60 cm. Statistical analyses included ANOVA, Tukey’s pairwise comparisons, correlation, and stepwise regression. The results indicated that soil types within oil palm plantations did not significantly affect SOCs but significantly impacted soil porosity. SOCs and porosity estimated using PTFs were lower than those estimated without PTFs. Specifically, SOCs analysis with PTFs ranged from 3.4 to 7.1 kg m-²; without PTFs, the range was higher, between 8.1 and 10.9 kg m-². Among the soil types, Entisols exhibited higher porosity with PTFs (51.3%), while Ultisols had the lowest porosity (37.9%). The PTFs provide better predictions for SOCs and porosity, and predictor variables that contribute the most are sand, silt, bulk density (BD), and cation exchange capacity (CEC). PTFs provide an advanced, data-driven approach to assessing SOCs and soil porosity in oil palm plantations, supporting the development of smarter, sustainable, and highly efficient management strategies.

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  • Sebelas Maret University
  • Universitas Gadjah Mada
  • Lambung Mangkurat University
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Rekan penulisOrganisasiArtikel bersama
Jauhari SyamsiyahSebelas Maret University12
Komariah KomariahSebelas Maret University9
Hery WidijantoSebelas Maret University6
Suntoro SuntoroSebelas Maret University6
Purwanto PurwantoSebelas Maret University4
Tiara HardianSebelas Maret University4
Muhammad Rizky RomadhonLambung Mangkurat University4
Dwi Priyo AriyantoAfiliasi tidak diketahui4
Bambang Hendro SunarmintoUniversitas Gadjah Mada3
Slamet MinardiSebelas Maret University3
Sudadi SudadiSebelas Maret University2
Sutarno SutarnoSebelas Maret University2
Sumarno SumarnoSebelas Maret University2
Sumani SumaniSebelas Maret University2
Arif Rijal AnshoriAfiliasi tidak diketahui2
Sri HartatiSebelas Maret University2
Ongko CahyonoSebelas Maret University2
Rahayu RahayuSebelas Maret University2
Erlyna Wida RiptantiSebelas Maret University1
Heru IriantoSebelas Maret University1
Hardian NingsihSebelas Maret University1
Raden Rara Aulia QonitaSebelas Maret University1
Jihad KhadaffiSebelas Maret University1
Okta LoveanaSebelas Maret University1
Rani RahmawatiSebelas Maret University1
Purwanto PurwantoSebelas Maret University1
Srie Juli RachmawatieSebelas Maret University1
Vita Ratri CahyaniSebelas Maret University1
Suryanti SuryantiAfiliasi tidak diketahui1
Sari Mukti RohmawatiSebelas Maret University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.uns.ac.id/tanah/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils</dc:title>
	<dc:creator xml:lang="en">Tinuntun, Riris Srigayuh Tegarningtyas</dc:creator>
	<dc:creator xml:lang="en">Dewi, Widyatmani Sih</dc:creator>
	<dc:creator xml:lang="en">Mujiyo, Mujiyo</dc:creator>
	<dc:creator xml:lang="en">Herawati, Aktavia</dc:creator>
	<dc:creator xml:lang="en">Herdiansyah, Ganjar</dc:creator>
	<dc:creator xml:lang="en">Sumani, Sumani</dc:creator>
	<dc:creator xml:lang="en">Cahyo, Angger</dc:creator>
	<dc:creator xml:lang="en">Widjojo, Bagus Guritno</dc:creator>
	<dc:creator xml:lang="en">Prasetyo, Bangun Budi</dc:creator>
	<dc:creator xml:lang="en">Kotroczó, Zsolt</dc:creator>
	<dc:subject xml:lang="en">CEC</dc:subject>
	<dc:subject xml:lang="en">Emission</dc:subject>
	<dc:subject xml:lang="en">Entisols</dc:subject>
	<dc:subject xml:lang="en">Macropore</dc:subject>
	<dc:subject xml:lang="en">Regression</dc:subject>
	<dc:description xml:lang="en">The accurate estimation of soil organic carbon stocks (SOCs) is crucial in sustainable oil palm plantation management. Pedotransfer functions (PTFs) serve as an essential predictive tool for enhancing the interpretation and estimation of soil organic carbon stocks (SOCs) and soil porosity. This study aims to improve the precision of SOCs and soil porosity predictions across diverse soil types within oil palm plantations through the application of PTFs. The study was conducted using a survey approach and descriptive exploration in an oil palm plantation in Seruyan District, Central Kalimantan. The study area encompassed four distinct soil types (Alfisols, Inceptisols, Ultisols, and Entisols), with six replicates for each soil type. Soil samples were collected from a depth of 0–60 cm. Statistical analyses included ANOVA, Tukey’s pairwise comparisons, correlation, and stepwise regression. The results indicated that soil types within oil palm plantations did not significantly affect SOCs but significantly impacted soil porosity. SOCs and porosity estimated using PTFs were lower than those estimated without PTFs. Specifically, SOCs analysis with PTFs ranged from 3.4 to 7.1 kg m-²; without PTFs, the range was higher, between 8.1 and 10.9 kg m-². Among the soil types, Entisols exhibited higher porosity with PTFs (51.3%), while Ultisols had the lowest porosity (37.9%). The PTFs provide better predictions for SOCs and porosity, and predictor variables that contribute the most are sand, silt, bulk density (BD), and cation exchange capacity (CEC). PTFs provide an advanced, data-driven approach to assessing SOCs and soil porosity in oil palm plantations, supporting the development of smarter, sustainable, and highly efficient management strategies.</dc:description>
	<dc:publisher xml:lang="en">Universitas Sebelas Maret</dc:publisher>
	<dc:date>2025-06-30</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://jurnal.uns.ac.id/tanah/article/view/93460</dc:identifier>
	<dc:identifier>10.20961/stjssa.v22i1.93460</dc:identifier>
	<dc:source xml:lang="en">SAINS TANAH - Journal of Soil Science and Agroclimatology; Vol. 22 No. 1 (2025): June; 231-243</dc:source>
	<dc:source>2356-1424</dc:source>
	<dc:source>1412-3606</dc:source>
	<dc:source>10.20961/stjssa.v22i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.uns.ac.id/tanah/article/view/93460/50695</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Riris Srigayuh Tegarningtyas Tinuntun, Widyatmani Sih Dewi, Mujiyo Mujiyo, Aktavia Herawati, Angger Cahyo, Bagus Guritno Widjojo, Bangun Budi Prasetyo, Kotroczó Zsolt</dc:rights>
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