LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome

Recently, Brazil became the biggest soybean producer and exporter in the world. The state of Pará, located in the Brazilian amazon biome, became one of the last agricultural frontiers of the country, which positively increased the soybean cultivation along it is territory. However, it is necessary t...

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Published in:Biology and Life Sciences Forum
Main Authors: Thyago Brito, Rui Fragoso, Pedro Marques, Anabela Fernandes-Silva, José Aranha
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/IECAG2021-10072
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spelling ftmdpi:oai:mdpi.com:/2673-9976/3/1/11/ 2023-08-20T04:09:51+02:00 LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome Thyago Brito Rui Fragoso Pedro Marques Anabela Fernandes-Silva José Aranha 2021-05-17 application/pdf https://doi.org/10.3390/IECAG2021-10072 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/IECAG2021-10072 https://creativecommons.org/licenses/by/4.0/ Biology and Life Sciences Forum; Volume 3; Issue 1; Pages: 11 environmental impacts grains life cycle assessment soybean production Text 2021 ftmdpi https://doi.org/10.3390/IECAG2021-10072 2023-08-01T03:33:43Z Recently, Brazil became the biggest soybean producer and exporter in the world. The state of Pará, located in the Brazilian amazon biome, became one of the last agricultural frontiers of the country, which positively increased the soybean cultivation along it is territory. However, it is necessary to know the associated environmental impacts along the supply chain. Thus, we are applying the life cycle assessment (LCA) methodology using openLCA software to two producing regions: northeast pole (Paragominas) and south pole (Redenção). Based on the cradle to grave scope, the Recipe Midpoint (H) and Intergovernmental Panel on Climate Change (IPCC) methods of the environmental impact categories were used. To calculate the land use change (LUC), we used the BRLUC regionalized model (v1.3). The obtained results showed that LUC was mainly responsible for the global warming potential (GWP) along all soybean supply chains, especially when land occupied with tropical forests was adapted for growing soybeans. Despite the largest distance between the origin and destiny (road + railway = 1306 km), the soybean produced in the south pole (Redenção) is better shipped through the TEGRAM port of São Luis–Maranhão due to the use of multimodal platforms (lorry + train), allowing for a more efficient logistical performance (greater loads of grains transported and less environmental impact). The soybean produced in northeast pole (Paragominas) is better shipped through the ports around Barcarena–Pará due to the short distance by road (average 350 km) and hence less environment impact. Text South pole MDPI Open Access Publishing South Pole Biology and Life Sciences Forum 3 1 11
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic environmental impacts
grains
life cycle assessment
soybean production
spellingShingle environmental impacts
grains
life cycle assessment
soybean production
Thyago Brito
Rui Fragoso
Pedro Marques
Anabela Fernandes-Silva
José Aranha
LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome
topic_facet environmental impacts
grains
life cycle assessment
soybean production
description Recently, Brazil became the biggest soybean producer and exporter in the world. The state of Pará, located in the Brazilian amazon biome, became one of the last agricultural frontiers of the country, which positively increased the soybean cultivation along it is territory. However, it is necessary to know the associated environmental impacts along the supply chain. Thus, we are applying the life cycle assessment (LCA) methodology using openLCA software to two producing regions: northeast pole (Paragominas) and south pole (Redenção). Based on the cradle to grave scope, the Recipe Midpoint (H) and Intergovernmental Panel on Climate Change (IPCC) methods of the environmental impact categories were used. To calculate the land use change (LUC), we used the BRLUC regionalized model (v1.3). The obtained results showed that LUC was mainly responsible for the global warming potential (GWP) along all soybean supply chains, especially when land occupied with tropical forests was adapted for growing soybeans. Despite the largest distance between the origin and destiny (road + railway = 1306 km), the soybean produced in the south pole (Redenção) is better shipped through the TEGRAM port of São Luis–Maranhão due to the use of multimodal platforms (lorry + train), allowing for a more efficient logistical performance (greater loads of grains transported and less environmental impact). The soybean produced in northeast pole (Paragominas) is better shipped through the ports around Barcarena–Pará due to the short distance by road (average 350 km) and hence less environment impact.
format Text
author Thyago Brito
Rui Fragoso
Pedro Marques
Anabela Fernandes-Silva
José Aranha
author_facet Thyago Brito
Rui Fragoso
Pedro Marques
Anabela Fernandes-Silva
José Aranha
author_sort Thyago Brito
title LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome
title_short LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome
title_full LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome
title_fullStr LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome
title_full_unstemmed LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome
title_sort lca of soybean supply chain produced in the state of pará, located in the brazilian amazon biome
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/IECAG2021-10072
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_source Biology and Life Sciences Forum; Volume 3; Issue 1; Pages: 11
op_relation https://dx.doi.org/10.3390/IECAG2021-10072
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/IECAG2021-10072
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