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The origin, supply chain, and deforestation risk of Brazil’s beef exports
Though the international trade in agricultural commodities is worth more than $1.6 trillion/year, we still have a poor understanding of the supply chains connecting places of production and consumption and the socioeconomic and environmental impacts of this trade. In this study, we provide a wall-to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749302/ https://www.ncbi.nlm.nih.gov/pubmed/33262283 http://dx.doi.org/10.1073/pnas.2003270117 |
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author | zu Ermgassen, Erasmus K. H. J. Godar, Javier Lathuillière, Michael J. Löfgren, Pernilla Gardner, Toby Vasconcelos, André Meyfroidt, Patrick |
author_facet | zu Ermgassen, Erasmus K. H. J. Godar, Javier Lathuillière, Michael J. Löfgren, Pernilla Gardner, Toby Vasconcelos, André Meyfroidt, Patrick |
author_sort | zu Ermgassen, Erasmus K. H. J. |
collection | PubMed |
description | Though the international trade in agricultural commodities is worth more than $1.6 trillion/year, we still have a poor understanding of the supply chains connecting places of production and consumption and the socioeconomic and environmental impacts of this trade. In this study, we provide a wall-to-wall subnational map of the origin and supply chain of Brazilian meat, offal, and live cattle exports from 2015 to 2017, a trade worth more than $5.4 billion/year. Brazil is the world’s largest beef exporter, exporting approximately one-fifth of its production, and the sector has a notable environmental footprint, linked to one-fifth of all commodity-driven deforestation across the tropics. By combining official per-shipment trade records, slaughterhouse export licenses, subnational agricultural statistics, and data on the origin of cattle per slaughterhouse, we mapped the flow of cattle from more than 2,800 municipalities where cattle were raised to 152 exporting slaughterhouses where they were slaughtered, via the 204 exporting and 3,383 importing companies handling that trade, and finally to 152 importing countries. We find stark differences in the subnational origin of the sourcing of different actors and link this supply chain mapping to spatially explicit data on cattle-associated deforestation, to estimate the “deforestation risk” (in hectares/year) of each supply chain actor over time. Our results provide an unprecedented insight into the global trade of a deforestation-risk commodity and demonstrate the potential for improved supply chain transparency based on currently available data. |
format | Online Article Text |
id | pubmed-7749302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-77493022020-12-24 The origin, supply chain, and deforestation risk of Brazil’s beef exports zu Ermgassen, Erasmus K. H. J. Godar, Javier Lathuillière, Michael J. Löfgren, Pernilla Gardner, Toby Vasconcelos, André Meyfroidt, Patrick Proc Natl Acad Sci U S A Social Sciences Though the international trade in agricultural commodities is worth more than $1.6 trillion/year, we still have a poor understanding of the supply chains connecting places of production and consumption and the socioeconomic and environmental impacts of this trade. In this study, we provide a wall-to-wall subnational map of the origin and supply chain of Brazilian meat, offal, and live cattle exports from 2015 to 2017, a trade worth more than $5.4 billion/year. Brazil is the world’s largest beef exporter, exporting approximately one-fifth of its production, and the sector has a notable environmental footprint, linked to one-fifth of all commodity-driven deforestation across the tropics. By combining official per-shipment trade records, slaughterhouse export licenses, subnational agricultural statistics, and data on the origin of cattle per slaughterhouse, we mapped the flow of cattle from more than 2,800 municipalities where cattle were raised to 152 exporting slaughterhouses where they were slaughtered, via the 204 exporting and 3,383 importing companies handling that trade, and finally to 152 importing countries. We find stark differences in the subnational origin of the sourcing of different actors and link this supply chain mapping to spatially explicit data on cattle-associated deforestation, to estimate the “deforestation risk” (in hectares/year) of each supply chain actor over time. Our results provide an unprecedented insight into the global trade of a deforestation-risk commodity and demonstrate the potential for improved supply chain transparency based on currently available data. National Academy of Sciences 2020-12-15 2020-12-01 /pmc/articles/PMC7749302/ /pubmed/33262283 http://dx.doi.org/10.1073/pnas.2003270117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences zu Ermgassen, Erasmus K. H. J. Godar, Javier Lathuillière, Michael J. Löfgren, Pernilla Gardner, Toby Vasconcelos, André Meyfroidt, Patrick The origin, supply chain, and deforestation risk of Brazil’s beef exports |
title | The origin, supply chain, and deforestation risk of Brazil’s beef exports |
title_full | The origin, supply chain, and deforestation risk of Brazil’s beef exports |
title_fullStr | The origin, supply chain, and deforestation risk of Brazil’s beef exports |
title_full_unstemmed | The origin, supply chain, and deforestation risk of Brazil’s beef exports |
title_short | The origin, supply chain, and deforestation risk of Brazil’s beef exports |
title_sort | origin, supply chain, and deforestation risk of brazil’s beef exports |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749302/ https://www.ncbi.nlm.nih.gov/pubmed/33262283 http://dx.doi.org/10.1073/pnas.2003270117 |
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