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Estimates of methane and nitrous oxide emission from a rice field in Central Java, Indonesia, based on the DeNitrification DeComposition model

SAINS TANAH - Journal of Soil Science and Agroclimatology · Vol. 19 No. 1 (2022) · hlm. 1–11

DOI
10.20961/stjssa.v19i1.56928
ISSN
2356-1424, 1412-3606
Terbit
2022-01-28
Penerbit
Universitas Sebelas Maret
Bahasa
en

Abstrak

Indonesia is the world’s third largest rice producer, with most rice being cultivated (estimated 3.1 million ha) in Central Java. However, one of the environmental challenges in producing rice is greenhouse gas (GHG) emissions from rice fields. Therefore, understanding the GHG emissions (methane and nitrous oxide) from the rice farming system is important for better management practices. The objective of this study is to estimate the GHG emissions supported by a satellite database, namely, the DeNitrification DeComposition (DNDC) model, at three regencies at Central Java, Indonesia, Cilacap, Karanganyar, and Pati, as well as the factors determining the emissions. The DNDC model was obtained from https://www.dndc.sr.unh.edu, which consists of three main submodels that worked together in simulating N2O and N2 emissions: (1) the soil-climate/thermal-hydraulic flux submodel, (2) the decomposition submodel, and (3) the denitrification submodel. The results showed that the N2O emissions from rice farming in Karanganyar, Cilacap, and Pati were 19.0, 18.8, and 12.8 kg N ha−1 yr−1, respectively, while they were 213.7, 270.6, and 360.6 kg C ha−1 yr−1 for CH4 emissions, respectively. Consecutive dry or high precipitation, which resulted in cumulative depleted or elevated soil moisture, respectively, along with warmer temperature likely promoted higher methane and nitrous oxide. Experimental fields for validating the model in accordance with various agricultural practices are suggested for further study. Overall, the DNDC model has successfully estimated the CH4 and N2O emissions in Central Java when incorporated with various secondary climatic and land management big data resources.

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  • Sebelas Maret University
  • Gifu University
  • National Research and Innovation Agency
  • Tanjungpura University
  • Lambung Mangkurat University
  • Mercu Buana University
  • Meteorological, Climatological, And Geophysical Agency
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Rekan penulisOrganisasiArtikel bersama
Sumani SumaniSebelas Maret University10
Jauhari SyamsiyahSebelas Maret University9
Mujiyo MujiyoSebelas Maret University4
Muchammad Bima Gegana SaktiSebelas Maret University4
Widyatmani Sih DewiSebelas Maret University3
Aktavia HerawatiSebelas Maret University3
Adhia Azhar FauzanGifu University3
Taufiq Perak SanjayaSebelas Maret University2
Sri HartatiSebelas Maret University2
Rahayu RahayuSebelas Maret University2
Setiawan Khoirul HimmiNational Research and Innovation Agency2
Didi TarmadiNational Research and Innovation Agency2
Ongko CahyonoSebelas Maret University2
Bramantyo WikantyosoNational Research and Innovation Agency2
Sri Rezeki FebrianiSebelas Maret University2
Tuban WiyosoMeteorological, Climatological, And Geophysical Agency2
Ilham SetiawanSebelas Maret University2
Luthfan Nur HabibiSebelas Maret University2
Takashi Sonam Tashi TanakaGifu University2
Abdul AzizJenderal Soedirman University2
Magarsa AbaraWollega University2
Maria Theresia Sri BudiastutiSebelas Maret University1
T WidodoSebelas Maret University1
Vita Ratri CahyaniSebelas Maret University1
Henokh Christian PrasgiSebelas Maret University1
Audi Soekma LestariSebelas Maret University1
Tiara HardianSebelas Maret University1
Viviana IrmawatiSebelas Maret University1
Muhammad Rizky RomadhonLambung Mangkurat University1
Nanda Mei IstiqomahMercu Buana University1
Bambang WidiarsoTanjungpura University1
Slamet MinardiSebelas Maret University1
Masateru SengeGifu University1
Tino Orciny ChandraTanjungpura University1
Mohamed Abdesalam ElmahdiSebha 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">Estimates of methane and nitrous oxide emission from a rice field in Central Java, Indonesia, based on the DeNitrification DeComposition model</dc:title>
	<dc:creator xml:lang="en">Munawaroh, Umi</dc:creator>
	<dc:creator xml:lang="en">Komariah, Komariah</dc:creator>
	<dc:creator xml:lang="en">Ariyanto, Dwi Priyo</dc:creator>
	<dc:creator xml:lang="en">Zaki, Muhamad Khoiru</dc:creator>
	<dc:creator xml:lang="en">Noda, Keigo</dc:creator>
	<dc:subject xml:lang="en">DNDC model</dc:subject>
	<dc:subject xml:lang="en">Methane</dc:subject>
	<dc:subject xml:lang="en">Nitrous oxide</dc:subject>
	<dc:subject xml:lang="en">Rice fields</dc:subject>
	<dc:description xml:lang="en">Indonesia is the world’s third largest rice producer, with most rice being cultivated (estimated 3.1 million ha) in Central Java. However, one of the environmental challenges in producing rice is greenhouse gas (GHG) emissions from rice fields. Therefore, understanding the GHG emissions (methane and nitrous oxide) from the rice farming system is important for better management practices. The objective of this study is to estimate the GHG emissions supported by a satellite database, namely, the DeNitrification DeComposition (DNDC) model, at three regencies at Central Java, Indonesia, Cilacap, Karanganyar, and Pati, as well as the factors determining the emissions. The DNDC model was obtained from https://www.dndc.sr.unh.edu, which consists of three main submodels that worked together in simulating N2O and N2 emissions: (1) the soil-climate/thermal-hydraulic flux submodel, (2) the decomposition submodel, and (3) the denitrification submodel. The results showed that the N2O emissions from rice farming in Karanganyar, Cilacap, and Pati were 19.0, 18.8, and 12.8 kg N ha−1 yr−1, respectively, while they were 213.7, 270.6, and 360.6 kg C ha−1 yr−1 for CH4 emissions, respectively. Consecutive dry or high precipitation, which resulted in cumulative depleted or elevated soil moisture, respectively, along with warmer temperature likely promoted higher methane and nitrous oxide. Experimental fields for validating the model in accordance with various agricultural practices are suggested for further study. Overall, the DNDC model has successfully estimated the CH4 and N2O emissions in Central Java when incorporated with various secondary climatic and land management big data resources.</dc:description>
	<dc:publisher xml:lang="en">Universitas Sebelas Maret</dc:publisher>
	<dc:date>2022-01-28</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/56928</dc:identifier>
	<dc:identifier>10.20961/stjssa.v19i1.56928</dc:identifier>
	<dc:source xml:lang="en">SAINS TANAH - Journal of Soil Science and Agroclimatology; Vol. 19 No. 1 (2022): June; 1-11</dc:source>
	<dc:source>2356-1424</dc:source>
	<dc:source>1412-3606</dc:source>
	<dc:source>10.20961/stjssa.v19i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.uns.ac.id/tanah/article/view/56928/34421</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 Umi Munawaroh, Komariah Komariah, Dwi Priyo Ariyanto, Muhamad Khoiru Zaki, Keigo Noda</dc:rights>
</oai_dc:dc>