Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils
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 stud...
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| Format: | Article |
| Language: | English |
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Sebelas Maret University
2025-06-01
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| Series: | Sains Tanah: Journal of Soil Science and Agroclimatology |
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| Online Access: | https://jurnal.uns.ac.id/tanah/article/view/93460 |
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| author | Riris Srigayuh Tegarningtyas Tinuntun Widyatmani Sih Dewi Mujiyo Mujiyo Aktavia Herawati Ganjar Herdiansyah Sumani Sumani Angger Cahyo Bagus Guritno Widjojo Bangun Budi Prasetyo Zsolt Kotroczó |
| author_facet | Riris Srigayuh Tegarningtyas Tinuntun Widyatmani Sih Dewi Mujiyo Mujiyo Aktavia Herawati Ganjar Herdiansyah Sumani Sumani Angger Cahyo Bagus Guritno Widjojo Bangun Budi Prasetyo Zsolt Kotroczó |
| author_sort | Riris Srigayuh Tegarningtyas Tinuntun |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2afeb4b50dd34b209ed84889813a560d |
| institution | DOAJ |
| issn | 1412-3606 2356-1424 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sebelas Maret University |
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| series | Sains Tanah: Journal of Soil Science and Agroclimatology |
| spelling | doaj-art-2afeb4b50dd34b209ed84889813a560d2025-08-20T02:43:28ZengSebelas Maret UniversitySains Tanah: Journal of Soil Science and Agroclimatology1412-36062356-14242025-06-0122123124310.20961/stjssa.v22i1.9346046254Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soilsRiris Srigayuh Tegarningtyas Tinuntun0Widyatmani Sih Dewi1Mujiyo Mujiyo2Aktavia Herawati3Ganjar Herdiansyah4Sumani Sumani5Angger Cahyo6Bagus Guritno WidjojoBangun Budi Prasetyo7Zsolt Kotroczó8Graduate Program of Soil Science, Faculty of Agriculture, Universitas Sebelas Maret, SurakartaDepartment of Soil Science and Agronomy, Faculty of Agriculture, Universitas Sebelas Maret, SurakartaDepartment of Soil Science and Agronomy, Faculty of Agriculture, Universitas Sebelas Maret, SurakartaDepartment of Soil Science and Agronomy, Faculty of Agriculture, Universitas Sebelas Maret, SurakartaDepartment of Soil Science and Agronomy, Faculty of Agriculture, Universitas Sebelas Maret, SurakartaDepartment of Soil Science and Agronomy, Faculty of Agriculture, Universitas Sebelas Maret, SurakartaMusirawas Citraharpindo Company, Asem Baru, Danau Seluluk, Seruyan Regency, Central KalimantaMusirawas Citraharpindo Company, Asem Baru, Danau Seluluk, Seruyan Regency, Central KalimantaDepartment of Agro-Environmental Studies, Hungarian University of Agriculture and Life Sciences, BudapestThe 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.https://jurnal.uns.ac.id/tanah/article/view/93460cecemissionentisolsmacroporeregression |
| spellingShingle | Riris Srigayuh Tegarningtyas Tinuntun Widyatmani Sih Dewi Mujiyo Mujiyo Aktavia Herawati Ganjar Herdiansyah Sumani Sumani Angger Cahyo Bagus Guritno Widjojo Bangun Budi Prasetyo Zsolt Kotroczó 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 cec emission entisols macropore regression |
| title | Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils |
| title_full | Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils |
| title_fullStr | Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils |
| title_full_unstemmed | Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils |
| title_short | Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils |
| title_sort | pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils |
| topic | cec emission entisols macropore regression |
| url | https://jurnal.uns.ac.id/tanah/article/view/93460 |
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