Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data
The aims of this study were to calculate greenhouse gas (GHG) emissions and to identify the trends of GHG emission intensity, based on meat production from the livestock sector in Indonesia, which had not been done before. The total emissions from the livestock sector from 2000 to 2015 in Indonesia...
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doaj-0e61d557fc05434785566af9d0d573732020-11-25T02:26:56ZengMDPI AGSustainability2071-10502018-06-01106191210.3390/su10061912su10061912Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific DataEska Nugrahaeningtyas0Chun-Youl Baek1Jung-Hwan Jeon2Hyun-Jung Jo3Kyu-Hyun Park4College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, KoreaCenter for Resources Information & Management, Korea Institute of Industrial Technology, Seoul 06211, KoreaAnimal Environment Division, National Institute of Animal Science, RDA, Wanju 55365, KoreaCenter for Resources Information & Management, Korea Institute of Industrial Technology, Seoul 06211, KoreaCollege of Animal Life Sciences, Kangwon National University, Chuncheon 24341, KoreaThe aims of this study were to calculate greenhouse gas (GHG) emissions and to identify the trends of GHG emission intensity, based on meat production from the livestock sector in Indonesia, which had not been done before. The total emissions from the livestock sector from 2000 to 2015 in Indonesia were calculated using the 2006 Intergovernmental Panel on Climate Change Guideline (2006 IPCC GL) using Tier 1 and Tier 2, with its default values and some of the country specific data that were found in the grey literature. During 2000 to 2015, the change from the Tier 1 to Tier 2 methods resulted in an approximately 7.39% emission decrease from enteric fermentation and a 4.24% increase from manure management, which resulted in a 4.98% decrease in the total emissions. The shared emission from manure management increased by about 9% and 6% using Tier 1 and Tier 2, respectively. In contrast with the total emissions, the overall emission intensity in Indonesia decreased (up to 60.77% for swine), showing that the livestock productivity in Indonesia has become more efficient. In order to meet the meat demand with less GHG emissions, chicken farming is one option to be developed. The increased emission and share from manure management indicated that manure management system needs to be of concern, especially for beef cattle and swine.http://www.mdpi.com/2071-1050/10/6/1912greenhouse gasIndonesian livestockTier 2intensity indicator |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eska Nugrahaeningtyas Chun-Youl Baek Jung-Hwan Jeon Hyun-Jung Jo Kyu-Hyun Park |
spellingShingle |
Eska Nugrahaeningtyas Chun-Youl Baek Jung-Hwan Jeon Hyun-Jung Jo Kyu-Hyun Park Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data Sustainability greenhouse gas Indonesian livestock Tier 2 intensity indicator |
author_facet |
Eska Nugrahaeningtyas Chun-Youl Baek Jung-Hwan Jeon Hyun-Jung Jo Kyu-Hyun Park |
author_sort |
Eska Nugrahaeningtyas |
title |
Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data |
title_short |
Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data |
title_full |
Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data |
title_fullStr |
Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data |
title_full_unstemmed |
Greenhouse Gas Emission Intensities for the Livestock Sector in Indonesia, Based on the National Specific Data |
title_sort |
greenhouse gas emission intensities for the livestock sector in indonesia, based on the national specific data |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-06-01 |
description |
The aims of this study were to calculate greenhouse gas (GHG) emissions and to identify the trends of GHG emission intensity, based on meat production from the livestock sector in Indonesia, which had not been done before. The total emissions from the livestock sector from 2000 to 2015 in Indonesia were calculated using the 2006 Intergovernmental Panel on Climate Change Guideline (2006 IPCC GL) using Tier 1 and Tier 2, with its default values and some of the country specific data that were found in the grey literature. During 2000 to 2015, the change from the Tier 1 to Tier 2 methods resulted in an approximately 7.39% emission decrease from enteric fermentation and a 4.24% increase from manure management, which resulted in a 4.98% decrease in the total emissions. The shared emission from manure management increased by about 9% and 6% using Tier 1 and Tier 2, respectively. In contrast with the total emissions, the overall emission intensity in Indonesia decreased (up to 60.77% for swine), showing that the livestock productivity in Indonesia has become more efficient. In order to meet the meat demand with less GHG emissions, chicken farming is one option to be developed. The increased emission and share from manure management indicated that manure management system needs to be of concern, especially for beef cattle and swine. |
topic |
greenhouse gas Indonesian livestock Tier 2 intensity indicator |
url |
http://www.mdpi.com/2071-1050/10/6/1912 |
work_keys_str_mv |
AT eskanugrahaeningtyas greenhousegasemissionintensitiesforthelivestocksectorinindonesiabasedonthenationalspecificdata AT chunyoulbaek greenhousegasemissionintensitiesforthelivestocksectorinindonesiabasedonthenationalspecificdata AT junghwanjeon greenhousegasemissionintensitiesforthelivestocksectorinindonesiabasedonthenationalspecificdata AT hyunjungjo greenhousegasemissionintensitiesforthelivestocksectorinindonesiabasedonthenationalspecificdata AT kyuhyunpark greenhousegasemissionintensitiesforthelivestocksectorinindonesiabasedonthenationalspecificdata |
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