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Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach
Biomass reconstructions to pre-assessment periods for commercially important and exploitable fish species are important tools for understanding long-term processes and fluctuation on stock and ecosystem level. For some stocks only fisheries statistics and fishery dependent data are available, for pe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683571/ https://www.ncbi.nlm.nih.gov/pubmed/29131850 http://dx.doi.org/10.1371/journal.pone.0186830 |
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author | Horbowy, Jan Tomczak, Maciej T. |
author_facet | Horbowy, Jan Tomczak, Maciej T. |
author_sort | Horbowy, Jan |
collection | PubMed |
description | Biomass reconstructions to pre-assessment periods for commercially important and exploitable fish species are important tools for understanding long-term processes and fluctuation on stock and ecosystem level. For some stocks only fisheries statistics and fishery dependent data are available, for periods before surveys were conducted. The methods for the backward extension of the analytical assessment of biomass for years for which only total catch volumes are available were developed and tested in this paper. Two of the approaches developed apply the concept of the surplus production rate (SPR), which is shown to be stock density dependent if stock dynamics is governed by classical stock-production models. The other approach used a modified form of the Schaefer production model that allows for backward biomass estimation. The performance of the methods was tested on the Arctic cod and North Sea herring stocks, for which analytical biomass estimates extend back to the late 1940s. Next, the methods were applied to extend biomass estimates of the North-east Atlantic mackerel from the 1970s (analytical biomass estimates available) to the 1950s, for which only total catch volumes were available. For comparison with other methods which employs a constant SPR estimated as an average of the observed values, was also applied. The analyses showed that the performance of the methods is stock and data specific; the methods that work well for one stock may fail for the others. The constant SPR method is not recommended in those cases when the SPR is relatively high and the catch volumes in the reconstructed period are low. |
format | Online Article Text |
id | pubmed-5683571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56835712017-11-30 Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach Horbowy, Jan Tomczak, Maciej T. PLoS One Research Article Biomass reconstructions to pre-assessment periods for commercially important and exploitable fish species are important tools for understanding long-term processes and fluctuation on stock and ecosystem level. For some stocks only fisheries statistics and fishery dependent data are available, for periods before surveys were conducted. The methods for the backward extension of the analytical assessment of biomass for years for which only total catch volumes are available were developed and tested in this paper. Two of the approaches developed apply the concept of the surplus production rate (SPR), which is shown to be stock density dependent if stock dynamics is governed by classical stock-production models. The other approach used a modified form of the Schaefer production model that allows for backward biomass estimation. The performance of the methods was tested on the Arctic cod and North Sea herring stocks, for which analytical biomass estimates extend back to the late 1940s. Next, the methods were applied to extend biomass estimates of the North-east Atlantic mackerel from the 1970s (analytical biomass estimates available) to the 1950s, for which only total catch volumes were available. For comparison with other methods which employs a constant SPR estimated as an average of the observed values, was also applied. The analyses showed that the performance of the methods is stock and data specific; the methods that work well for one stock may fail for the others. The constant SPR method is not recommended in those cases when the SPR is relatively high and the catch volumes in the reconstructed period are low. Public Library of Science 2017-11-13 /pmc/articles/PMC5683571/ /pubmed/29131850 http://dx.doi.org/10.1371/journal.pone.0186830 Text en © 2017 Horbowy, Tomczak 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 Horbowy, Jan Tomczak, Maciej T. Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
title | Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
title_full | Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
title_fullStr | Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
title_full_unstemmed | Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
title_short | Extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
title_sort | extension of biomass estimates to pre-assessment periods using density dependent surplus production approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683571/ https://www.ncbi.nlm.nih.gov/pubmed/29131850 http://dx.doi.org/10.1371/journal.pone.0186830 |
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