Biomass limit reference points are sensitive to estimation method, time‐series length and stock development
Abstract Biomass limit reference points are widely used in fisheries management and define the biomass threshold (BT) below which stock productivity (i.e. recruitment) is likely to be impaired. Scientifically sound and transparent methods for estimating BTs are therefore needed together with ways of...
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crwiley:10.1111/faf.12503 2024-06-02T08:11:55+00:00 Biomass limit reference points are sensitive to estimation method, time‐series length and stock development van Deurs, Mikael Brooks, Mollie E. Lindegren, Martin Henriksen, Ole Rindorf, Anna 2020 http://dx.doi.org/10.1111/faf.12503 https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12503 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/faf.12503 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Fish and Fisheries volume 22, issue 1, page 18-30 ISSN 1467-2960 1467-2979 journal-article 2020 crwiley https://doi.org/10.1111/faf.12503 2024-05-03T12:00:09Z Abstract Biomass limit reference points are widely used in fisheries management and define the biomass threshold (BT) below which stock productivity (i.e. recruitment) is likely to be impaired. Scientifically sound and transparent methods for estimating BTs are therefore needed together with ways of quantifying uncertainties. The main focus of the study was placed on two methods currently applied to several small‐bodied pelagic species in the Northeast Atlantic. These methods have not formerly been described in the scientific literature and are in the present study being compared with some already described methods, of which one is broadly applied outside the Northeast Atlantic. Using a combination of data simulations and data from 51 small‐bodied pelagic fish stocks, we analysed the sensitivity of estimated BTs to (a) the choice of method, (b) time‐series length and (c) stock development (e.g. rebuilding or declining). It was demonstrated that estimated BTs are associated with considerable uncertainty not previously quantified. Furthermore, the level of the estimated threshold and the amount of uncertainty depended on choice of method, time‐series length and stock development trends. Hence, this study contributes to improving the quality of future biomass limit reference points by providing guidance regarding choice of method and how to demonstrate stock‐specific uncertainties. Article in Journal/Newspaper Northeast Atlantic Wiley Online Library Fish and Fisheries 22 1 18 30 |
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English |
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Abstract Biomass limit reference points are widely used in fisheries management and define the biomass threshold (BT) below which stock productivity (i.e. recruitment) is likely to be impaired. Scientifically sound and transparent methods for estimating BTs are therefore needed together with ways of quantifying uncertainties. The main focus of the study was placed on two methods currently applied to several small‐bodied pelagic species in the Northeast Atlantic. These methods have not formerly been described in the scientific literature and are in the present study being compared with some already described methods, of which one is broadly applied outside the Northeast Atlantic. Using a combination of data simulations and data from 51 small‐bodied pelagic fish stocks, we analysed the sensitivity of estimated BTs to (a) the choice of method, (b) time‐series length and (c) stock development (e.g. rebuilding or declining). It was demonstrated that estimated BTs are associated with considerable uncertainty not previously quantified. Furthermore, the level of the estimated threshold and the amount of uncertainty depended on choice of method, time‐series length and stock development trends. Hence, this study contributes to improving the quality of future biomass limit reference points by providing guidance regarding choice of method and how to demonstrate stock‐specific uncertainties. |
format |
Article in Journal/Newspaper |
author |
van Deurs, Mikael Brooks, Mollie E. Lindegren, Martin Henriksen, Ole Rindorf, Anna |
spellingShingle |
van Deurs, Mikael Brooks, Mollie E. Lindegren, Martin Henriksen, Ole Rindorf, Anna Biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
author_facet |
van Deurs, Mikael Brooks, Mollie E. Lindegren, Martin Henriksen, Ole Rindorf, Anna |
author_sort |
van Deurs, Mikael |
title |
Biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
title_short |
Biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
title_full |
Biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
title_fullStr |
Biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
title_full_unstemmed |
Biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
title_sort |
biomass limit reference points are sensitive to estimation method, time‐series length and stock development |
publisher |
Wiley |
publishDate |
2020 |
url |
http://dx.doi.org/10.1111/faf.12503 https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12503 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/faf.12503 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Fish and Fisheries volume 22, issue 1, page 18-30 ISSN 1467-2960 1467-2979 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/faf.12503 |
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Fish and Fisheries |
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22 |
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1 |
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18 |
op_container_end_page |
30 |
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