Greenhouse gas emission intensity from Indonesian livestock sector
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Animal Behaviour and Biometeorology |
Texto Completo: | https://malque.pub/ojs/index.php/jabb/article/view/2806 |
Resumo: | The objectives of this study were to examine the trends of greenhouse gas (GHG) emission intensity (EI) from livestock sector in Indonesia, and also to suggest mitigation measures for the emissions. GHG emissions were calculated by using 2006 Intergovernmental Panel on Climate Change Guideline (2006 IPCC GL) Tier 1 method based on carbon dioxide equivalent (CO2eq) with default values except for Indonesian livestock population. GHG EI (emissions intensity) of livestock sector in Indonesia was calculated by dividing total GHG emissions by Indonesian meat production from livestock commodities. In 2015, beef cattle contributed 66.99% from total GHG emissions from livestock sector, followed by goat (8.38%), sheep (7.40%), buffalo (6.89%), swine (5.03%), broiler chicken (3.80%), and horse (0.72%). However, in 2015, buffalo showed the highest EI (kgCO2eq/kg meat) by 6.44, followed by beef cattle (5.88), sheep (4.69), goat (4.07), swine (3.50), horse (3.09), and broiler chicken (0.38). EIs from swine, goat, sheep, broiler chicken, horse, beef cattle, and buffalo decreased by 60.77%, 58.59%, 46.68%, 21.30%, 18.15%, 19.94%, and 13.13% from 2000 to 2015, respectively. Results of GHG emissions and GHG EIs from each livestock category in Indonesia shown the improvement direction in order to mitigate GHG emission. Therefore, Indonesian government should focus on the beef cattle and buffalo that are a high contribution on GHG emissions and high EI by increasing the efficiency of livestock rearing management such as livestock health, genetic, diets, and environment. |
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Journal of Animal Behaviour and Biometeorology |
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Greenhouse gas emission intensity from Indonesian livestock sectorclimate changeIPCCmeat productionmitigationnational inventory reportThe objectives of this study were to examine the trends of greenhouse gas (GHG) emission intensity (EI) from livestock sector in Indonesia, and also to suggest mitigation measures for the emissions. GHG emissions were calculated by using 2006 Intergovernmental Panel on Climate Change Guideline (2006 IPCC GL) Tier 1 method based on carbon dioxide equivalent (CO2eq) with default values except for Indonesian livestock population. GHG EI (emissions intensity) of livestock sector in Indonesia was calculated by dividing total GHG emissions by Indonesian meat production from livestock commodities. In 2015, beef cattle contributed 66.99% from total GHG emissions from livestock sector, followed by goat (8.38%), sheep (7.40%), buffalo (6.89%), swine (5.03%), broiler chicken (3.80%), and horse (0.72%). However, in 2015, buffalo showed the highest EI (kgCO2eq/kg meat) by 6.44, followed by beef cattle (5.88), sheep (4.69), goat (4.07), swine (3.50), horse (3.09), and broiler chicken (0.38). EIs from swine, goat, sheep, broiler chicken, horse, beef cattle, and buffalo decreased by 60.77%, 58.59%, 46.68%, 21.30%, 18.15%, 19.94%, and 13.13% from 2000 to 2015, respectively. Results of GHG emissions and GHG EIs from each livestock category in Indonesia shown the improvement direction in order to mitigate GHG emission. Therefore, Indonesian government should focus on the beef cattle and buffalo that are a high contribution on GHG emissions and high EI by increasing the efficiency of livestock rearing management such as livestock health, genetic, diets, and environment.Malque Publishing2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch Articlesapplication/pdfhttps://malque.pub/ojs/index.php/jabb/article/view/280610.31893/2318-1265jabb.v6n4p109-115Journal of Animal Behaviour and Biometeorology; Vol. 6 No. 4 (2018): October; 109-1152318-12652318-1265reponame:Journal of Animal Behaviour and Biometeorologyinstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://malque.pub/ojs/index.php/jabb/article/view/2806/1211Copyright (c) 2018 Malque Publishinghttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessNugrahaeningtyas, EskaBaek, Chun-YoulJeon, Jung-HwanSong, Jun-IkPark, Kyu-Hyun2024-02-27T00:41:49Zoai:ojs2.malque.pub:article/2806Revistahttps://periodicos.ufersa.edu.br/index.php/jabbPUBhttp://periodicos.ufersa.edu.br/revistas/index.php/jabb/oai||souza.jr@ufersa.edu.br2318-12652318-1265opendoar:2024-02-27T00:41:49Journal of Animal Behaviour and Biometeorology - Universidade Federal Rural do Semi-Árido (UFERSA)false |
dc.title.none.fl_str_mv |
Greenhouse gas emission intensity from Indonesian livestock sector |
title |
Greenhouse gas emission intensity from Indonesian livestock sector |
spellingShingle |
Greenhouse gas emission intensity from Indonesian livestock sector Nugrahaeningtyas, Eska climate change IPCC meat production mitigation national inventory report |
title_short |
Greenhouse gas emission intensity from Indonesian livestock sector |
title_full |
Greenhouse gas emission intensity from Indonesian livestock sector |
title_fullStr |
Greenhouse gas emission intensity from Indonesian livestock sector |
title_full_unstemmed |
Greenhouse gas emission intensity from Indonesian livestock sector |
title_sort |
Greenhouse gas emission intensity from Indonesian livestock sector |
author |
Nugrahaeningtyas, Eska |
author_facet |
Nugrahaeningtyas, Eska Baek, Chun-Youl Jeon, Jung-Hwan Song, Jun-Ik Park, Kyu-Hyun |
author_role |
author |
author2 |
Baek, Chun-Youl Jeon, Jung-Hwan Song, Jun-Ik Park, Kyu-Hyun |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Nugrahaeningtyas, Eska Baek, Chun-Youl Jeon, Jung-Hwan Song, Jun-Ik Park, Kyu-Hyun |
dc.subject.por.fl_str_mv |
climate change IPCC meat production mitigation national inventory report |
topic |
climate change IPCC meat production mitigation national inventory report |
description |
The objectives of this study were to examine the trends of greenhouse gas (GHG) emission intensity (EI) from livestock sector in Indonesia, and also to suggest mitigation measures for the emissions. GHG emissions were calculated by using 2006 Intergovernmental Panel on Climate Change Guideline (2006 IPCC GL) Tier 1 method based on carbon dioxide equivalent (CO2eq) with default values except for Indonesian livestock population. GHG EI (emissions intensity) of livestock sector in Indonesia was calculated by dividing total GHG emissions by Indonesian meat production from livestock commodities. In 2015, beef cattle contributed 66.99% from total GHG emissions from livestock sector, followed by goat (8.38%), sheep (7.40%), buffalo (6.89%), swine (5.03%), broiler chicken (3.80%), and horse (0.72%). However, in 2015, buffalo showed the highest EI (kgCO2eq/kg meat) by 6.44, followed by beef cattle (5.88), sheep (4.69), goat (4.07), swine (3.50), horse (3.09), and broiler chicken (0.38). EIs from swine, goat, sheep, broiler chicken, horse, beef cattle, and buffalo decreased by 60.77%, 58.59%, 46.68%, 21.30%, 18.15%, 19.94%, and 13.13% from 2000 to 2015, respectively. Results of GHG emissions and GHG EIs from each livestock category in Indonesia shown the improvement direction in order to mitigate GHG emission. Therefore, Indonesian government should focus on the beef cattle and buffalo that are a high contribution on GHG emissions and high EI by increasing the efficiency of livestock rearing management such as livestock health, genetic, diets, and environment. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Research Articles |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://malque.pub/ojs/index.php/jabb/article/view/2806 10.31893/2318-1265jabb.v6n4p109-115 |
url |
https://malque.pub/ojs/index.php/jabb/article/view/2806 |
identifier_str_mv |
10.31893/2318-1265jabb.v6n4p109-115 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://malque.pub/ojs/index.php/jabb/article/view/2806/1211 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Malque Publishing https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Malque Publishing https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Malque Publishing |
publisher.none.fl_str_mv |
Malque Publishing |
dc.source.none.fl_str_mv |
Journal of Animal Behaviour and Biometeorology; Vol. 6 No. 4 (2018): October; 109-115 2318-1265 2318-1265 reponame:Journal of Animal Behaviour and Biometeorology instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Journal of Animal Behaviour and Biometeorology |
collection |
Journal of Animal Behaviour and Biometeorology |
repository.name.fl_str_mv |
Journal of Animal Behaviour and Biometeorology - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
||souza.jr@ufersa.edu.br |
_version_ |
1799319802078035968 |