A new model for simulating growth in fish

A real dynamic population model calculates change in population sizes independent of time. The Beverton & Holt (B&H) model commonly used in fish assessment includes the von Bertalanffy growth function which has age or accumulated time as an independent variable. As a result the B&H model...

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Published in:PeerJ
Main Authors: Hamre, Johannes, Johnsen, Espen, Hamre, Kristin
Format: Text
Language:English
Published: PeerJ Inc. 2014
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912445
http://www.ncbi.nlm.nih.gov/pubmed/24498574
https://doi.org/10.7717/peerj.244
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spelling ftpubmed:oai:pubmedcentral.nih.gov:3912445 2023-05-15T15:38:46+02:00 A new model for simulating growth in fish Hamre, Johannes Johnsen, Espen Hamre, Kristin 2014-01-30 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912445 http://www.ncbi.nlm.nih.gov/pubmed/24498574 https://doi.org/10.7717/peerj.244 en eng PeerJ Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912445 http://www.ncbi.nlm.nih.gov/pubmed/24498574 http://dx.doi.org/10.7717/peerj.244 © 2014 Hamre et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Aquaculture Text 2014 ftpubmed https://doi.org/10.7717/peerj.244 2014-02-09T01:46:39Z A real dynamic population model calculates change in population sizes independent of time. The Beverton & Holt (B&H) model commonly used in fish assessment includes the von Bertalanffy growth function which has age or accumulated time as an independent variable. As a result the B&H model has to assume constant fish growth. However, growth in fish is highly variable depending on food availability and environmental conditions. We propose a new growth model where the length increment of fish living under constant conditions and unlimited food supply, decreases linearly with increasing fish length until it reaches zero at a maximal fish length. The model is independent of time and includes a term which accounts for the environmental variation. In the present study, the model was validated in zebrafish held at constant conditions. There was a good fit of the model to data on observed growth in Norwegian spring spawning herring, capelin from the Barents Sea, North Sea herring and in farmed coastal cod. Growth data from Walleye Pollock from the Eastern Bering Sea and blue whiting from the Norwegian Sea also fitted reasonably well to the model, whereas data from cod from the North Sea showed a good fit to the model only above a length of 70 cm. Cod from the Barents Sea did not grow according to the model. The last results can be explained by environmental factors and variable food availability in the time under study. The model implicates that the efficiency of energy conversion from food decreases as the individual animal approaches its maximal length and is postulated to represent a natural law of fish growth. Text Barents Sea Bering Sea Norwegian Sea PubMed Central (PMC) Barents Sea Bering Sea Norwegian Sea PeerJ 2 e244
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Aquaculture
spellingShingle Aquaculture
Hamre, Johannes
Johnsen, Espen
Hamre, Kristin
A new model for simulating growth in fish
topic_facet Aquaculture
description A real dynamic population model calculates change in population sizes independent of time. The Beverton & Holt (B&H) model commonly used in fish assessment includes the von Bertalanffy growth function which has age or accumulated time as an independent variable. As a result the B&H model has to assume constant fish growth. However, growth in fish is highly variable depending on food availability and environmental conditions. We propose a new growth model where the length increment of fish living under constant conditions and unlimited food supply, decreases linearly with increasing fish length until it reaches zero at a maximal fish length. The model is independent of time and includes a term which accounts for the environmental variation. In the present study, the model was validated in zebrafish held at constant conditions. There was a good fit of the model to data on observed growth in Norwegian spring spawning herring, capelin from the Barents Sea, North Sea herring and in farmed coastal cod. Growth data from Walleye Pollock from the Eastern Bering Sea and blue whiting from the Norwegian Sea also fitted reasonably well to the model, whereas data from cod from the North Sea showed a good fit to the model only above a length of 70 cm. Cod from the Barents Sea did not grow according to the model. The last results can be explained by environmental factors and variable food availability in the time under study. The model implicates that the efficiency of energy conversion from food decreases as the individual animal approaches its maximal length and is postulated to represent a natural law of fish growth.
format Text
author Hamre, Johannes
Johnsen, Espen
Hamre, Kristin
author_facet Hamre, Johannes
Johnsen, Espen
Hamre, Kristin
author_sort Hamre, Johannes
title A new model for simulating growth in fish
title_short A new model for simulating growth in fish
title_full A new model for simulating growth in fish
title_fullStr A new model for simulating growth in fish
title_full_unstemmed A new model for simulating growth in fish
title_sort new model for simulating growth in fish
publisher PeerJ Inc.
publishDate 2014
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912445
http://www.ncbi.nlm.nih.gov/pubmed/24498574
https://doi.org/10.7717/peerj.244
geographic Barents Sea
Bering Sea
Norwegian Sea
geographic_facet Barents Sea
Bering Sea
Norwegian Sea
genre Barents Sea
Bering Sea
Norwegian Sea
genre_facet Barents Sea
Bering Sea
Norwegian Sea
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912445
http://www.ncbi.nlm.nih.gov/pubmed/24498574
http://dx.doi.org/10.7717/peerj.244
op_rights © 2014 Hamre et al.
http://creativecommons.org/licenses/by/3.0/
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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