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Complex relationships between soybean trade destination and tropical deforestation
Over the last few years, understanding of the effects of increasingly interconnected global flows of agricultural commodities on coupled human and natural systems has significantly improved. However, many important factors in environmental change that are influenced by these commodity flows are stil...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338464/ https://www.ncbi.nlm.nih.gov/pubmed/37438427 http://dx.doi.org/10.1038/s41598-023-38405-1 |
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author | da Silva, Ramon Felipe Bicudo Moran, Emilio F. Millington, James D. A. Viña, Andrés Liu, Jianguo |
author_facet | da Silva, Ramon Felipe Bicudo Moran, Emilio F. Millington, James D. A. Viña, Andrés Liu, Jianguo |
author_sort | da Silva, Ramon Felipe Bicudo |
collection | PubMed |
description | Over the last few years, understanding of the effects of increasingly interconnected global flows of agricultural commodities on coupled human and natural systems has significantly improved. However, many important factors in environmental change that are influenced by these commodity flows are still not well understood. Here, we present an empirical spatial modelling approach to assess how changes in forest cover are influenced by trade destination. Using data for soybean-producing municipalities in the state of Mato Grosso, Brazil, between 2004 and 2017, we evaluated the relationships between forest cover change and the annual soybean trade destination. Results show that although most of the soybean produced in Mato Grosso during the study period (60%) was destined for international markets, municipalities with greater and more consistent soybean production not destined for international markets during the study period were more strongly associated with deforestation. In these municipalities, soybean production was also significantly correlated with cattle and pasture expansion. These results have important implications for the sustainable management of natural resources in the face of an increasingly interconnected world, while also helping to identify the most suitable locations for implementing policies to reduce deforestation risks. |
format | Online Article Text |
id | pubmed-10338464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103384642023-07-14 Complex relationships between soybean trade destination and tropical deforestation da Silva, Ramon Felipe Bicudo Moran, Emilio F. Millington, James D. A. Viña, Andrés Liu, Jianguo Sci Rep Article Over the last few years, understanding of the effects of increasingly interconnected global flows of agricultural commodities on coupled human and natural systems has significantly improved. However, many important factors in environmental change that are influenced by these commodity flows are still not well understood. Here, we present an empirical spatial modelling approach to assess how changes in forest cover are influenced by trade destination. Using data for soybean-producing municipalities in the state of Mato Grosso, Brazil, between 2004 and 2017, we evaluated the relationships between forest cover change and the annual soybean trade destination. Results show that although most of the soybean produced in Mato Grosso during the study period (60%) was destined for international markets, municipalities with greater and more consistent soybean production not destined for international markets during the study period were more strongly associated with deforestation. In these municipalities, soybean production was also significantly correlated with cattle and pasture expansion. These results have important implications for the sustainable management of natural resources in the face of an increasingly interconnected world, while also helping to identify the most suitable locations for implementing policies to reduce deforestation risks. Nature Publishing Group UK 2023-07-12 /pmc/articles/PMC10338464/ /pubmed/37438427 http://dx.doi.org/10.1038/s41598-023-38405-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article da Silva, Ramon Felipe Bicudo Moran, Emilio F. Millington, James D. A. Viña, Andrés Liu, Jianguo Complex relationships between soybean trade destination and tropical deforestation |
title | Complex relationships between soybean trade destination and tropical deforestation |
title_full | Complex relationships between soybean trade destination and tropical deforestation |
title_fullStr | Complex relationships between soybean trade destination and tropical deforestation |
title_full_unstemmed | Complex relationships between soybean trade destination and tropical deforestation |
title_short | Complex relationships between soybean trade destination and tropical deforestation |
title_sort | complex relationships between soybean trade destination and tropical deforestation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338464/ https://www.ncbi.nlm.nih.gov/pubmed/37438427 http://dx.doi.org/10.1038/s41598-023-38405-1 |
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