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Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches

Journal of Degraded and Mining Lands Management · Vol. 10 No. 1 (2022) · hlm. 3889–3904

DOI
10.15243/jdmlm.2022.101.3889
ISSN
2502-2458, 2339-076X
Terbit
2022-10-01
Penerbit
Brawijaya University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

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.

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  • IPB University
  • National Research and Innovation Agency
  • Diponegoro University
  • Universitas Islam Negeri Kiai Haji Achmad Siddiq Jember
  • Indonesian Oil Palm Research Institute
  • Direktorat Jenderal Imigrasi
  • Universitas Jambi
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Arief HartonoIPB University8
Happy WidiastutiIndonesian Oil Palm Research Institute7
Atang SutandiIPB University3
Untung SudadiIPB University3
Bambang H. TrisasongkoIPB University3
Budi MulyantoIPB University3
Dwi Putro Tejo BaskoroIPB University2
Nourma Al ViandariNational Research and Innovation Agency2
Anicetus WihardjakaNational Research and Innovation Agency2
Suwardi SuwardiIPB University2
Siti NurzakiahAfiliasi tidak diketahui2
Gunawan DjajakiranaIPB University2
Anas Dinurohman SusilaAfiliasi tidak diketahui2
Muliana MulianaMalikussaleh University2
Rahayu WidyastutiIPB University2
Mardella GalihDirektorat Jenderal Imigrasi1
Muhammad EritonUniversitas Jambi1
Anisa Umu ZarahDiponegoro University1
Rosyida RosyidaDiponegoro University1
Affan ChahyahusnaIPB University1
Dede SulaemanAfiliasi tidak diketahui1
Maswar MaswarAfiliasi tidak diketahui1
Mimien HariantiAndalas University1
Rasti SaraswatiAfiliasi tidak diketahui1
Kartini KramadibrataIndonesian Institute of Sciences1
Nampiah SukarnoIPB University1
Sri ListiyowatiIPB University1
Adi YulandiAtma Jaya Catholic University of Indonesia1
Nail Izzatul MaulaniIPB University1
M SubagyaAfiliasi tidak diketahui1
Haryanto HaryantoUniversitas Islam Nahdlatul Ulama Jepara1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jdmlm.ub.ac.id/index.php/jdmlm/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Declined peat heterotrophic respiration as consequences from zeolite amendment simulation: coupling descriptive and predictive modelling approaches</dc:title>
	<dc:creator>Pulunggono, Heru Bagus</dc:creator>
	<dc:creator>Hanifah, Nabila</dc:creator>
	<dc:creator>Nadalia, Desi</dc:creator>
	<dc:creator>Zulfajrin, Moh</dc:creator>
	<dc:creator>Nurazizah, Lina Lathifah</dc:creator>
	<dc:creator>Mubarok, Husni</dc:creator>
	<dc:creator>Tambusai, Nizam</dc:creator>
	<dc:creator>Anwar, Syaiful</dc:creator>
	<dc:creator>Sabiham, Supiandi</dc:creator>
	<dc:subject xml:lang="en-US">artificial intelligence</dc:subject>
	<dc:subject xml:lang="en-US">CO2 emission</dc:subject>
	<dc:subject xml:lang="en-US">machine learning</dc:subject>
	<dc:subject xml:lang="en-US">multivariate analysis</dc:subject>
	<dc:subject xml:lang="en-US">pedotransfer modelling</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
	<dc:date>2022-10-01</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/1287</dc:identifier>
	<dc:identifier>10.15243/jdmlm.2022.101.3889</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 10 No. 1 (2022); 3889-3904</dc:source>
	<dc:source>2502-2458</dc:source>
	<dc:source>2339-076X</dc:source>
	<dc:source>10.15243/jdmlm.2022.101</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1287/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 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>