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Global trade network patterns are coupled to fisheries sustainability
The rapid development of seafood trade networks alongside the decline in biomass of many marine populations raises important questions about the role of global trade in fisheries sustainability. Mounting empirical and theoretical evidence shows the importance of trade development on commercially exp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560747/ https://www.ncbi.nlm.nih.gov/pubmed/37817775 http://dx.doi.org/10.1093/pnasnexus/pgad301 |
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author | Elsler, Laura G Oostdijk, Maartje Gephart, Jessica A Free, Christopher M Zhao, Junfu Tekwa, Eden Bochniewicz, Elaine M Giron-Nava, Alfredo Johnson, Andrew F |
author_facet | Elsler, Laura G Oostdijk, Maartje Gephart, Jessica A Free, Christopher M Zhao, Junfu Tekwa, Eden Bochniewicz, Elaine M Giron-Nava, Alfredo Johnson, Andrew F |
author_sort | Elsler, Laura G |
collection | PubMed |
description | The rapid development of seafood trade networks alongside the decline in biomass of many marine populations raises important questions about the role of global trade in fisheries sustainability. Mounting empirical and theoretical evidence shows the importance of trade development on commercially exploited species. However, there is limited understanding of how the development of trade networks, such as differences in connectivity and duration, affects fisheries sustainability. In a global analysis of over 400,000 bilateral trade flows and stock status estimates for 876 exploited fish and marine invertebrates from 223 territories, we reveal patterns between seafood trade network indicators and fisheries sustainability using a dynamic panel regression analysis. We found that fragmented networks with strong connectivity within a group of countries and weaker links between those groups (modularity) are associated with higher relative biomass. From 1995 to 2015, modularity fluctuated, and the number of trade connections (degree) increased. Unlike previous studies, we found no relationship between the number or duration of trade connections and fisheries sustainability. Our results highlight the need to jointly investigate fisheries and trade. Improved coordination and partnerships between fisheries authorities and trade organizations present opportunities to foster more sustainable fisheries. |
format | Online Article Text |
id | pubmed-10560747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105607472023-10-10 Global trade network patterns are coupled to fisheries sustainability Elsler, Laura G Oostdijk, Maartje Gephart, Jessica A Free, Christopher M Zhao, Junfu Tekwa, Eden Bochniewicz, Elaine M Giron-Nava, Alfredo Johnson, Andrew F PNAS Nexus Social and Political Sciences The rapid development of seafood trade networks alongside the decline in biomass of many marine populations raises important questions about the role of global trade in fisheries sustainability. Mounting empirical and theoretical evidence shows the importance of trade development on commercially exploited species. However, there is limited understanding of how the development of trade networks, such as differences in connectivity and duration, affects fisheries sustainability. In a global analysis of over 400,000 bilateral trade flows and stock status estimates for 876 exploited fish and marine invertebrates from 223 territories, we reveal patterns between seafood trade network indicators and fisheries sustainability using a dynamic panel regression analysis. We found that fragmented networks with strong connectivity within a group of countries and weaker links between those groups (modularity) are associated with higher relative biomass. From 1995 to 2015, modularity fluctuated, and the number of trade connections (degree) increased. Unlike previous studies, we found no relationship between the number or duration of trade connections and fisheries sustainability. Our results highlight the need to jointly investigate fisheries and trade. Improved coordination and partnerships between fisheries authorities and trade organizations present opportunities to foster more sustainable fisheries. Oxford University Press 2023-09-16 /pmc/articles/PMC10560747/ /pubmed/37817775 http://dx.doi.org/10.1093/pnasnexus/pgad301 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Social and Political Sciences Elsler, Laura G Oostdijk, Maartje Gephart, Jessica A Free, Christopher M Zhao, Junfu Tekwa, Eden Bochniewicz, Elaine M Giron-Nava, Alfredo Johnson, Andrew F Global trade network patterns are coupled to fisheries sustainability |
title | Global trade network patterns are coupled to fisheries sustainability |
title_full | Global trade network patterns are coupled to fisheries sustainability |
title_fullStr | Global trade network patterns are coupled to fisheries sustainability |
title_full_unstemmed | Global trade network patterns are coupled to fisheries sustainability |
title_short | Global trade network patterns are coupled to fisheries sustainability |
title_sort | global trade network patterns are coupled to fisheries sustainability |
topic | Social and Political Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560747/ https://www.ncbi.nlm.nih.gov/pubmed/37817775 http://dx.doi.org/10.1093/pnasnexus/pgad301 |
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