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Quality of a fished resource: Assessing spatial and temporal dynamics

Understanding spatio-temporal variability in the demography of harvested species is essential to improve sustainability, especially if there is large geographic variation in demography. Reproductive patterns commonly vary spatially, which is particularly important for management of “roe”-based fishe...

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Autores principales: Teck, Sarah J., Lorda, Julio, Shears, Nick T., Ben-Horin, Tal, Toseland, Rebecca E., Rathbone, Sarah T., Rudie, Dave, Gaines, Steven D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991392/
https://www.ncbi.nlm.nih.gov/pubmed/29874229
http://dx.doi.org/10.1371/journal.pone.0196864
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author Teck, Sarah J.
Lorda, Julio
Shears, Nick T.
Ben-Horin, Tal
Toseland, Rebecca E.
Rathbone, Sarah T.
Rudie, Dave
Gaines, Steven D.
author_facet Teck, Sarah J.
Lorda, Julio
Shears, Nick T.
Ben-Horin, Tal
Toseland, Rebecca E.
Rathbone, Sarah T.
Rudie, Dave
Gaines, Steven D.
author_sort Teck, Sarah J.
collection PubMed
description Understanding spatio-temporal variability in the demography of harvested species is essential to improve sustainability, especially if there is large geographic variation in demography. Reproductive patterns commonly vary spatially, which is particularly important for management of “roe”-based fisheries, since profits depend on both the number and reproductive condition of individuals. The red sea urchin, Mesocentrotus franciscanus, is harvested in California for its roe (gonad), which is sold to domestic and international sushi markets. The primary driver of price within this multi-million-dollar industry is gonad quality. A relatively simple measure of the fraction of the body mass that is gonad, the gonadosomatic index (GSI), provides important insight into the ecological and environmental factors associated with variability in reproductive quality, and hence value within the industry. We identified the seasonality of the reproductive cycle and determined whether it varied within a heavily fished region. We found that fishermen were predictable both temporally and spatially in collecting urchins according to the reproductive dynamics of urchins. We demonstrated the use of red sea urchin GSI as a simple, quantitative tool to predict quality, effort, landings, price, and value of the fishery. We found that current management is not effectively realizing some objectives for the southern California fishery, since the reproductive cycle does not match the cycle in northern California, where these management guidelines were originally shaped. Although regulations may not be meeting initial management goals, the scheme may in fact provide conservation benefits by curtailing effort during part of the high-quality fishing season right before spawning.
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spelling pubmed-59913922018-06-08 Quality of a fished resource: Assessing spatial and temporal dynamics Teck, Sarah J. Lorda, Julio Shears, Nick T. Ben-Horin, Tal Toseland, Rebecca E. Rathbone, Sarah T. Rudie, Dave Gaines, Steven D. PLoS One Research Article Understanding spatio-temporal variability in the demography of harvested species is essential to improve sustainability, especially if there is large geographic variation in demography. Reproductive patterns commonly vary spatially, which is particularly important for management of “roe”-based fisheries, since profits depend on both the number and reproductive condition of individuals. The red sea urchin, Mesocentrotus franciscanus, is harvested in California for its roe (gonad), which is sold to domestic and international sushi markets. The primary driver of price within this multi-million-dollar industry is gonad quality. A relatively simple measure of the fraction of the body mass that is gonad, the gonadosomatic index (GSI), provides important insight into the ecological and environmental factors associated with variability in reproductive quality, and hence value within the industry. We identified the seasonality of the reproductive cycle and determined whether it varied within a heavily fished region. We found that fishermen were predictable both temporally and spatially in collecting urchins according to the reproductive dynamics of urchins. We demonstrated the use of red sea urchin GSI as a simple, quantitative tool to predict quality, effort, landings, price, and value of the fishery. We found that current management is not effectively realizing some objectives for the southern California fishery, since the reproductive cycle does not match the cycle in northern California, where these management guidelines were originally shaped. Although regulations may not be meeting initial management goals, the scheme may in fact provide conservation benefits by curtailing effort during part of the high-quality fishing season right before spawning. Public Library of Science 2018-06-06 /pmc/articles/PMC5991392/ /pubmed/29874229 http://dx.doi.org/10.1371/journal.pone.0196864 Text en © 2018 Teck 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
Teck, Sarah J.
Lorda, Julio
Shears, Nick T.
Ben-Horin, Tal
Toseland, Rebecca E.
Rathbone, Sarah T.
Rudie, Dave
Gaines, Steven D.
Quality of a fished resource: Assessing spatial and temporal dynamics
title Quality of a fished resource: Assessing spatial and temporal dynamics
title_full Quality of a fished resource: Assessing spatial and temporal dynamics
title_fullStr Quality of a fished resource: Assessing spatial and temporal dynamics
title_full_unstemmed Quality of a fished resource: Assessing spatial and temporal dynamics
title_short Quality of a fished resource: Assessing spatial and temporal dynamics
title_sort quality of a fished resource: assessing spatial and temporal dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991392/
https://www.ncbi.nlm.nih.gov/pubmed/29874229
http://dx.doi.org/10.1371/journal.pone.0196864
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