Tuning and Development of an Individual-Based Model of the Herring Spawning Migration
Norwegian spring spawning herring is a migratory pelagic fish stock that seasonally navigates between distant locations in the Norwegian Sea. The spawning migration takes place between late winter and early spring. In this article, we present an individual-based model that simulated the spawning mig...
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Online Access: | https://hdl.handle.net/11250/3028366 https://doi.org/10.3389/fmars.2021.754476 |
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ftunivbergen:oai:bora.uib.no:11250/3028366 2023-05-15T17:47:03+02:00 Tuning and Development of an Individual-Based Model of the Herring Spawning Migration Kelly, Cian Michelsen, Finn Are Kolding, Jeppe Alver, Morten 2022-01-13 application/pdf https://hdl.handle.net/11250/3028366 https://doi.org/10.3389/fmars.2021.754476 eng eng Frontiers Sigma2: ns9828k Sigma2: nn9828k urn:issn:2296-7745 https://hdl.handle.net/11250/3028366 https://doi.org/10.3389/fmars.2021.754476 cristin:1983919 Frontiers in Marine Science. 2022, 8, 754476. Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2022 the authors 754476 Frontiers in Marine Science 8 Journal article Peer reviewed 2022 ftunivbergen https://doi.org/10.3389/fmars.2021.754476 2023-03-14T17:42:47Z Norwegian spring spawning herring is a migratory pelagic fish stock that seasonally navigates between distant locations in the Norwegian Sea. The spawning migration takes place between late winter and early spring. In this article, we present an individual-based model that simulated the spawning migration, which was tuned and validated against observation data. Individuals were modelled on a continuous grid coupled to a physical oceanographic model. We explore the development of individual model states in relation to local environmental conditions and predict the distribution and abundance of individuals in the Norwegian Sea for selected years (2015–2020). Individuals moved position mainly according to the prevailing coastal current. A tuning procedure was used to minimize the deviations between model and survey estimates at specific time stamps. Furthermore, 4 separate scenarios were simulated to ascertain the sensitivity of the model to initial conditions. Subsequently, one scenario was evaluated and compared with catch data in 5 day periods within the model time frame. Agreement between model and catch data varies throughout the season and between years. Regardless, emergent properties of the migration are identifiable that match observations, particularly migration trajectories that run perpendicular to deep bathymetry and counter the prevailing current. The model developed is efficient to implement and can be extended to generate multiple realizations of the migration path. This model, in combination with various sources of fisheries-dependent data, can be applied to improve real-time estimates of fish distributions. publishedVersion Article in Journal/Newspaper Norwegian Sea University of Bergen: Bergen Open Research Archive (BORA-UiB) Norwegian Sea Frontiers in Marine Science 8 |
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University of Bergen: Bergen Open Research Archive (BORA-UiB) |
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ftunivbergen |
language |
English |
description |
Norwegian spring spawning herring is a migratory pelagic fish stock that seasonally navigates between distant locations in the Norwegian Sea. The spawning migration takes place between late winter and early spring. In this article, we present an individual-based model that simulated the spawning migration, which was tuned and validated against observation data. Individuals were modelled on a continuous grid coupled to a physical oceanographic model. We explore the development of individual model states in relation to local environmental conditions and predict the distribution and abundance of individuals in the Norwegian Sea for selected years (2015–2020). Individuals moved position mainly according to the prevailing coastal current. A tuning procedure was used to minimize the deviations between model and survey estimates at specific time stamps. Furthermore, 4 separate scenarios were simulated to ascertain the sensitivity of the model to initial conditions. Subsequently, one scenario was evaluated and compared with catch data in 5 day periods within the model time frame. Agreement between model and catch data varies throughout the season and between years. Regardless, emergent properties of the migration are identifiable that match observations, particularly migration trajectories that run perpendicular to deep bathymetry and counter the prevailing current. The model developed is efficient to implement and can be extended to generate multiple realizations of the migration path. This model, in combination with various sources of fisheries-dependent data, can be applied to improve real-time estimates of fish distributions. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Kelly, Cian Michelsen, Finn Are Kolding, Jeppe Alver, Morten |
spellingShingle |
Kelly, Cian Michelsen, Finn Are Kolding, Jeppe Alver, Morten Tuning and Development of an Individual-Based Model of the Herring Spawning Migration |
author_facet |
Kelly, Cian Michelsen, Finn Are Kolding, Jeppe Alver, Morten |
author_sort |
Kelly, Cian |
title |
Tuning and Development of an Individual-Based Model of the Herring Spawning Migration |
title_short |
Tuning and Development of an Individual-Based Model of the Herring Spawning Migration |
title_full |
Tuning and Development of an Individual-Based Model of the Herring Spawning Migration |
title_fullStr |
Tuning and Development of an Individual-Based Model of the Herring Spawning Migration |
title_full_unstemmed |
Tuning and Development of an Individual-Based Model of the Herring Spawning Migration |
title_sort |
tuning and development of an individual-based model of the herring spawning migration |
publisher |
Frontiers |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/3028366 https://doi.org/10.3389/fmars.2021.754476 |
geographic |
Norwegian Sea |
geographic_facet |
Norwegian Sea |
genre |
Norwegian Sea |
genre_facet |
Norwegian Sea |
op_source |
754476 Frontiers in Marine Science 8 |
op_relation |
Sigma2: ns9828k Sigma2: nn9828k urn:issn:2296-7745 https://hdl.handle.net/11250/3028366 https://doi.org/10.3389/fmars.2021.754476 cristin:1983919 Frontiers in Marine Science. 2022, 8, 754476. |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2022 the authors |
op_doi |
https://doi.org/10.3389/fmars.2021.754476 |
container_title |
Frontiers in Marine Science |
container_volume |
8 |
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1766151295630049280 |