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Estimating illegal fishing from enforcement officers
While illegal, unreported, and unregulated (IUU) fishing is a premier issue facing ocean sustainability, characterizing it is challenging due to its clandestine nature. Current approaches can be resource intensive and sometimes controversial. Using Chile as an example, we present a structured proces...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385102/ https://www.ncbi.nlm.nih.gov/pubmed/32719385 http://dx.doi.org/10.1038/s41598-020-69311-5 |
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author | Donlan, C. Josh Wilcox, Chris Luque, Gloria M. Gelcich, Stefan |
author_facet | Donlan, C. Josh Wilcox, Chris Luque, Gloria M. Gelcich, Stefan |
author_sort | Donlan, C. Josh |
collection | PubMed |
description | While illegal, unreported, and unregulated (IUU) fishing is a premier issue facing ocean sustainability, characterizing it is challenging due to its clandestine nature. Current approaches can be resource intensive and sometimes controversial. Using Chile as an example, we present a structured process leveraging existing capacity, fisheries officers, that provides a monitoring tool to produce transparent and stand-alone estimates on the level, structure, and characteristics of illegal fishing. We provide a national illegal fishing baseline for Chile, estimating illegal activity for 20 fisheries, representing ~ 70% of annual national landings. For four fisheries, we also estimate the relative importance of illegal activities across sectors, stakeholders, and infrastructure. While providing new information, our results also confirm previous evidence on the general patterns of illegality. Our approach provides an opportunity for government agencies to formalize their institutional knowledge, while accounting for potential biases and reducing fragmentation of knowledge that can prevent effective enforcement. Estimating illegal activity directly from fisheries enforcement officers is complementary to existing approaches, providing a cost-effective, rapid, and rigorous method to measure, monitor, and inform solutions to reduce IUU fishing. |
format | Online Article Text |
id | pubmed-7385102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73851022020-07-28 Estimating illegal fishing from enforcement officers Donlan, C. Josh Wilcox, Chris Luque, Gloria M. Gelcich, Stefan Sci Rep Article While illegal, unreported, and unregulated (IUU) fishing is a premier issue facing ocean sustainability, characterizing it is challenging due to its clandestine nature. Current approaches can be resource intensive and sometimes controversial. Using Chile as an example, we present a structured process leveraging existing capacity, fisheries officers, that provides a monitoring tool to produce transparent and stand-alone estimates on the level, structure, and characteristics of illegal fishing. We provide a national illegal fishing baseline for Chile, estimating illegal activity for 20 fisheries, representing ~ 70% of annual national landings. For four fisheries, we also estimate the relative importance of illegal activities across sectors, stakeholders, and infrastructure. While providing new information, our results also confirm previous evidence on the general patterns of illegality. Our approach provides an opportunity for government agencies to formalize their institutional knowledge, while accounting for potential biases and reducing fragmentation of knowledge that can prevent effective enforcement. Estimating illegal activity directly from fisheries enforcement officers is complementary to existing approaches, providing a cost-effective, rapid, and rigorous method to measure, monitor, and inform solutions to reduce IUU fishing. Nature Publishing Group UK 2020-07-27 /pmc/articles/PMC7385102/ /pubmed/32719385 http://dx.doi.org/10.1038/s41598-020-69311-5 Text en © The Author(s) 2020, corrected publication 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Donlan, C. Josh Wilcox, Chris Luque, Gloria M. Gelcich, Stefan Estimating illegal fishing from enforcement officers |
title | Estimating illegal fishing from enforcement officers |
title_full | Estimating illegal fishing from enforcement officers |
title_fullStr | Estimating illegal fishing from enforcement officers |
title_full_unstemmed | Estimating illegal fishing from enforcement officers |
title_short | Estimating illegal fishing from enforcement officers |
title_sort | estimating illegal fishing from enforcement officers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385102/ https://www.ncbi.nlm.nih.gov/pubmed/32719385 http://dx.doi.org/10.1038/s41598-020-69311-5 |
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