Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches
Nowadays, halting greenhouse gasses (GHG) emission is the world's major concern to mitigate global climate change. In oil palm cultivated tropical peatland, GHG emission is primarily constituted of CO2 flux emitted from aerobic heterotrophic respiration (Rh), the natural degradation process of...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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University of Brawijaya
2022-10-01
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| Series: | Journal of Degraded and Mining Lands Management |
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| Online Access: | https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1287 |
| _version_ | 1811205953223131136 |
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| author | Heru Bagus Pulunggono Nabila Hanifah Desi Nadalia Moh Zulfajrin Lina Lathifah Nurazizah Husni Mubarok Nizam Tambusai Syaiful Anwar Supiandi Sabiham |
| author_facet | Heru Bagus Pulunggono Nabila Hanifah Desi Nadalia Moh Zulfajrin Lina Lathifah Nurazizah Husni Mubarok Nizam Tambusai Syaiful Anwar Supiandi Sabiham |
| author_sort | Heru Bagus Pulunggono |
| collection | DOAJ |
| description | Nowadays, halting greenhouse gasses (GHG) emission is the world's major concern to mitigate global climate change. In oil palm cultivated tropical peatland, GHG emission is primarily constituted of CO2 flux emitted from aerobic heterotrophic respiration (Rh), the natural degradation process of organic material in an oxidative environment. By coupling descriptive and predictive statistical approaches, this study attempt to gain an in-depth understanding of the effects of zeolite rates and incubation time on CO2 emission that came from aerobic Rh in peat, as well as their decomposition process. This study found that zeolite amelioration up to 30% of the peat at field capacity and starting from the first month of observation (month-1) significantly restricted peat Rh, denoted by a reduced amount of observed CO2 flux (0.021 and 0.019-0.012 mg m-2 sec-1, respectively). Both factors and several soil variables exhibited some non-linear relationships with Rh at different magnitudes and importance, showing the limitation of the traditional linear-based approach to interpreting their complex interrelationships, as well as predicting CO2 flux. This study highlights the vital role of a polynomial (GAM) and artificial intelligence (Cubist and GBM) -based pedotransfer models in improving our understanding regarding the dynamic of the peat decomposition process as affected by zeolite amendment. |
| first_indexed | 2024-04-12T03:39:51Z |
| format | Article |
| id | doaj.art-68a158c7b605497885b7ad1385e05085 |
| institution | Directory Open Access Journal |
| issn | 2339-076X 2502-2458 |
| language | English |
| last_indexed | 2024-04-12T03:39:51Z |
| publishDate | 2022-10-01 |
| publisher | University of Brawijaya |
| record_format | Article |
| series | Journal of Degraded and Mining Lands Management |
| spelling | doaj.art-68a158c7b605497885b7ad1385e050852022-12-22T03:49:19ZengUniversity of BrawijayaJournal of Degraded and Mining Lands Management2339-076X2502-24582022-10-011013889390410.15243/jdmlm.2022.101.3889456Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approachesHeru Bagus Pulunggono0Nabila Hanifah1Desi Nadalia2Moh Zulfajrin3Lina Lathifah Nurazizah4Husni Mubarok5Nizam Tambusai6Syaiful Anwar7Supiandi Sabiham8Department of Soil Science and Land Resource, Faculty of Agriculture, IPB UniversityGraduate Program of Soil Science and Land Resources Department, Faculty of Agriculture, IPB University, 16680, West Java, IndonesiaDepartment of Soil Science and Land Resource, Faculty of Agriculture, IPB UniversityGraduate Program of Soil Science and Land Resources Department, Faculty of Agriculture, IPB University, 16680, West Java, IndonesiaGraduate Program of Agronomy and Horticulture Department, Faculty of Agriculture, IPB University, 16680, West Java, IndonesiaAgronomy Research, Astra Agro Lestari Tbk, JakartaAgronomy Research, Astra Agro Lestari Tbk, Jakarta, IndonesiaDepartment of Soil Science and Land Resource, Faculty of Agriculture, IPB UniversityDepartment of Soil Science and Land Resource, Faculty of Agriculture, IPB UniversityNowadays, halting greenhouse gasses (GHG) emission is the world's major concern to mitigate global climate change. In oil palm cultivated tropical peatland, GHG emission is primarily constituted of CO2 flux emitted from aerobic heterotrophic respiration (Rh), the natural degradation process of organic material in an oxidative environment. By coupling descriptive and predictive statistical approaches, this study attempt to gain an in-depth understanding of the effects of zeolite rates and incubation time on CO2 emission that came from aerobic Rh in peat, as well as their decomposition process. This study found that zeolite amelioration up to 30% of the peat at field capacity and starting from the first month of observation (month-1) significantly restricted peat Rh, denoted by a reduced amount of observed CO2 flux (0.021 and 0.019-0.012 mg m-2 sec-1, respectively). Both factors and several soil variables exhibited some non-linear relationships with Rh at different magnitudes and importance, showing the limitation of the traditional linear-based approach to interpreting their complex interrelationships, as well as predicting CO2 flux. This study highlights the vital role of a polynomial (GAM) and artificial intelligence (Cubist and GBM) -based pedotransfer models in improving our understanding regarding the dynamic of the peat decomposition process as affected by zeolite amendment.https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1287artificial intelligenceco2 emissionmachine learningmultivariate analysispedotransfer modelling |
| spellingShingle | Heru Bagus Pulunggono Nabila Hanifah Desi Nadalia Moh Zulfajrin Lina Lathifah Nurazizah Husni Mubarok Nizam Tambusai Syaiful Anwar Supiandi Sabiham Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches Journal of Degraded and Mining Lands Management artificial intelligence co2 emission machine learning multivariate analysis pedotransfer modelling |
| title | Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches |
| title_full | Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches |
| title_fullStr | Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches |
| title_full_unstemmed | Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches |
| title_short | Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches |
| title_sort | declined peat heterotrophic respiration as consequences from zeolite amendment simulation coupling descriptive and predictive modelling approaches |
| topic | artificial intelligence co2 emission machine learning multivariate analysis pedotransfer modelling |
| url | https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1287 |
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