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A spatial method to calculate small-scale fisheries effort in data poor scenarios

To gauge the collateral impacts of fishing we must know where fishing boats operate and how much they fish. Although small-scale fisheries land approximately the same amount of fish for human consumption as industrial fleets globally, methods of estimating their fishing effort are comparatively poor...

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Autores principales: Johnson, Andrew Frederick, Moreno-Báez, Marcia, Giron-Nava, Alfredo, Corominas, Julia, Erisman, Brad, Ezcurra, Exequiel, Aburto-Oropeza, Octavio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390979/
https://www.ncbi.nlm.nih.gov/pubmed/28406918
http://dx.doi.org/10.1371/journal.pone.0174064
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author Johnson, Andrew Frederick
Moreno-Báez, Marcia
Giron-Nava, Alfredo
Corominas, Julia
Erisman, Brad
Ezcurra, Exequiel
Aburto-Oropeza, Octavio
author_facet Johnson, Andrew Frederick
Moreno-Báez, Marcia
Giron-Nava, Alfredo
Corominas, Julia
Erisman, Brad
Ezcurra, Exequiel
Aburto-Oropeza, Octavio
author_sort Johnson, Andrew Frederick
collection PubMed
description To gauge the collateral impacts of fishing we must know where fishing boats operate and how much they fish. Although small-scale fisheries land approximately the same amount of fish for human consumption as industrial fleets globally, methods of estimating their fishing effort are comparatively poor. We present an accessible, spatial method of calculating the effort of small-scale fisheries based on two simple measures that are available, or at least easily estimated, in even the most data-poor fisheries: the number of boats and the local coastal human population. We illustrate the method using a small-scale fisheries case study from the Gulf of California, Mexico, and show that our measure of Predicted Fishing Effort (PFE), measured as the number of boats operating in a given area per day adjusted by the number of people in local coastal populations, can accurately predict fisheries landings in the Gulf. Comparing our values of PFE to commercial fishery landings throughout the Gulf also indicates that the current number of small-scale fishing boats in the Gulf is approximately double what is required to land theoretical maximum fish biomass. Our method is fishery-type independent and can be used to quantitatively evaluate the efficacy of growth in small-scale fisheries. This new method provides an important first step towards estimating the fishing effort of small-scale fleets globally.
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spelling pubmed-53909792017-05-03 A spatial method to calculate small-scale fisheries effort in data poor scenarios Johnson, Andrew Frederick Moreno-Báez, Marcia Giron-Nava, Alfredo Corominas, Julia Erisman, Brad Ezcurra, Exequiel Aburto-Oropeza, Octavio PLoS One Research Article To gauge the collateral impacts of fishing we must know where fishing boats operate and how much they fish. Although small-scale fisheries land approximately the same amount of fish for human consumption as industrial fleets globally, methods of estimating their fishing effort are comparatively poor. We present an accessible, spatial method of calculating the effort of small-scale fisheries based on two simple measures that are available, or at least easily estimated, in even the most data-poor fisheries: the number of boats and the local coastal human population. We illustrate the method using a small-scale fisheries case study from the Gulf of California, Mexico, and show that our measure of Predicted Fishing Effort (PFE), measured as the number of boats operating in a given area per day adjusted by the number of people in local coastal populations, can accurately predict fisheries landings in the Gulf. Comparing our values of PFE to commercial fishery landings throughout the Gulf also indicates that the current number of small-scale fishing boats in the Gulf is approximately double what is required to land theoretical maximum fish biomass. Our method is fishery-type independent and can be used to quantitatively evaluate the efficacy of growth in small-scale fisheries. This new method provides an important first step towards estimating the fishing effort of small-scale fleets globally. Public Library of Science 2017-04-13 /pmc/articles/PMC5390979/ /pubmed/28406918 http://dx.doi.org/10.1371/journal.pone.0174064 Text en © 2017 Johnson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Johnson, Andrew Frederick
Moreno-Báez, Marcia
Giron-Nava, Alfredo
Corominas, Julia
Erisman, Brad
Ezcurra, Exequiel
Aburto-Oropeza, Octavio
A spatial method to calculate small-scale fisheries effort in data poor scenarios
title A spatial method to calculate small-scale fisheries effort in data poor scenarios
title_full A spatial method to calculate small-scale fisheries effort in data poor scenarios
title_fullStr A spatial method to calculate small-scale fisheries effort in data poor scenarios
title_full_unstemmed A spatial method to calculate small-scale fisheries effort in data poor scenarios
title_short A spatial method to calculate small-scale fisheries effort in data poor scenarios
title_sort spatial method to calculate small-scale fisheries effort in data poor scenarios
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390979/
https://www.ncbi.nlm.nih.gov/pubmed/28406918
http://dx.doi.org/10.1371/journal.pone.0174064
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