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A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries

Deep demersal fisheries in Indonesia yielded close to 90,000 metric tons of snapper and grouper in 2019, landed by a fleet of approximately 10,000 fishing boats. Prior to the present study, information on these multi-species, dispersed, small- to medium-scale fisheries was scarce, while reliable spe...

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Autores principales: Wibisono, Elle, Mous, Peter, Firmana, Edwison, Humphries, Austin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880757/
https://www.ncbi.nlm.nih.gov/pubmed/35213567
http://dx.doi.org/10.1371/journal.pone.0263646
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author Wibisono, Elle
Mous, Peter
Firmana, Edwison
Humphries, Austin
author_facet Wibisono, Elle
Mous, Peter
Firmana, Edwison
Humphries, Austin
author_sort Wibisono, Elle
collection PubMed
description Deep demersal fisheries in Indonesia yielded close to 90,000 metric tons of snapper and grouper in 2019, landed by a fleet of approximately 10,000 fishing boats. Prior to the present study, information on these multi-species, dispersed, small- to medium-scale fisheries was scarce, while reliable species-specific data on catch and effort were non-existent. This data-deficiency made stock assessments and design of harvest control rules impossible. We developed a new data collection method, the Crew Operated Data Recording System (CODRS), to collect verifiable species- and length-composition data from catches across all segments of the fleet. CODRS engaged crews of 579 fishing vessels to take pictures of each fish in their catch, in combination with the deployment of a tracking device on their boats. Furthermore, we also conducted a frame survey to map the fleet across the entire Indonesian archipelago. Using more than 2 million CODRS images, we aimed to understand the basic characteristics and challenges within the fishery. We updated life-history parameters for the top 50 species in the fishery based on the maximum observed length-frequency distribution of the catch (i.e., asymptotic length, size at maturity, optimum fishing length, total mortality, and spawning potential ratio). Length-based stock assessments using the updated life-history parameters showed high risks of overfishing for most of the major target species, especially for snapper species with large maximum sizes. Our results indicated that effective management and harvest strategies are urgently needed across Indonesia’s eleven Fishery Management Areas to prevent the collapse of these important fisheries.
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spelling pubmed-88807572022-02-26 A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries Wibisono, Elle Mous, Peter Firmana, Edwison Humphries, Austin PLoS One Research Article Deep demersal fisheries in Indonesia yielded close to 90,000 metric tons of snapper and grouper in 2019, landed by a fleet of approximately 10,000 fishing boats. Prior to the present study, information on these multi-species, dispersed, small- to medium-scale fisheries was scarce, while reliable species-specific data on catch and effort were non-existent. This data-deficiency made stock assessments and design of harvest control rules impossible. We developed a new data collection method, the Crew Operated Data Recording System (CODRS), to collect verifiable species- and length-composition data from catches across all segments of the fleet. CODRS engaged crews of 579 fishing vessels to take pictures of each fish in their catch, in combination with the deployment of a tracking device on their boats. Furthermore, we also conducted a frame survey to map the fleet across the entire Indonesian archipelago. Using more than 2 million CODRS images, we aimed to understand the basic characteristics and challenges within the fishery. We updated life-history parameters for the top 50 species in the fishery based on the maximum observed length-frequency distribution of the catch (i.e., asymptotic length, size at maturity, optimum fishing length, total mortality, and spawning potential ratio). Length-based stock assessments using the updated life-history parameters showed high risks of overfishing for most of the major target species, especially for snapper species with large maximum sizes. Our results indicated that effective management and harvest strategies are urgently needed across Indonesia’s eleven Fishery Management Areas to prevent the collapse of these important fisheries. Public Library of Science 2022-02-25 /pmc/articles/PMC8880757/ /pubmed/35213567 http://dx.doi.org/10.1371/journal.pone.0263646 Text en © 2022 Wibisono et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Wibisono, Elle
Mous, Peter
Firmana, Edwison
Humphries, Austin
A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries
title A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries
title_full A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries
title_fullStr A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries
title_full_unstemmed A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries
title_short A crew-operated data recording system for length-based stock assessment of Indonesia’s deep demersal fisheries
title_sort crew-operated data recording system for length-based stock assessment of indonesia’s deep demersal fisheries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880757/
https://www.ncbi.nlm.nih.gov/pubmed/35213567
http://dx.doi.org/10.1371/journal.pone.0263646
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