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SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics

In 2018 we published a spatially-explicit individual-based model (IBM) that uses satellite-derived maps of food availability and temperature to predict Northeast Atlantic mackerel (Scomber scombrus, NEAM) population dynamics. Since then, to address various ecological questions, we have extended the...

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Detalles Bibliográficos
Autores principales: Boyd, Robin, Walker, Nicola, Hyder, Kieran, Thorpe, Robert, Roy, Shovonlal, Sibly, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490848/
https://www.ncbi.nlm.nih.gov/pubmed/32963971
http://dx.doi.org/10.1016/j.mex.2020.101044
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author Boyd, Robin
Walker, Nicola
Hyder, Kieran
Thorpe, Robert
Roy, Shovonlal
Sibly, Richard
author_facet Boyd, Robin
Walker, Nicola
Hyder, Kieran
Thorpe, Robert
Roy, Shovonlal
Sibly, Richard
author_sort Boyd, Robin
collection PubMed
description In 2018 we published a spatially-explicit individual-based model (IBM) that uses satellite-derived maps of food availability and temperature to predict Northeast Atlantic mackerel (Scomber scombrus, NEAM) population dynamics. Since then, to address various ecological questions, we have extended the IBM to include additional processes and data. Throughout its development, technical documents have been provided in the form of e.g. supplementary information to published articles. However, we acknowledge that it would be difficult for potential users to collate information from separate supplementary documents and gain a full understanding of the current state of the IBM. Here, we provide a full technical specification of the latest version of our IBM. The technical specification is provided in the standard ODD (Overview, Design concepts and Details) format, and supplemented by a TRACE (TRAnsparent and Comprehensive model Evaludation) document. For the first time, we give our model the acronym SEASIM-NEAM: a Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics. This article supersedes previous documentation. Going forward we hope that this article will stimulate development of similar models. • This article collates improvements that have been made to SEASIM-NEAM over time.
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spelling pubmed-74908482020-09-21 SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics Boyd, Robin Walker, Nicola Hyder, Kieran Thorpe, Robert Roy, Shovonlal Sibly, Richard MethodsX Method Article In 2018 we published a spatially-explicit individual-based model (IBM) that uses satellite-derived maps of food availability and temperature to predict Northeast Atlantic mackerel (Scomber scombrus, NEAM) population dynamics. Since then, to address various ecological questions, we have extended the IBM to include additional processes and data. Throughout its development, technical documents have been provided in the form of e.g. supplementary information to published articles. However, we acknowledge that it would be difficult for potential users to collate information from separate supplementary documents and gain a full understanding of the current state of the IBM. Here, we provide a full technical specification of the latest version of our IBM. The technical specification is provided in the standard ODD (Overview, Design concepts and Details) format, and supplemented by a TRACE (TRAnsparent and Comprehensive model Evaludation) document. For the first time, we give our model the acronym SEASIM-NEAM: a Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics. This article supersedes previous documentation. Going forward we hope that this article will stimulate development of similar models. • This article collates improvements that have been made to SEASIM-NEAM over time. Elsevier 2020-08-29 /pmc/articles/PMC7490848/ /pubmed/32963971 http://dx.doi.org/10.1016/j.mex.2020.101044 Text en Crown Copyright © 2020 Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Boyd, Robin
Walker, Nicola
Hyder, Kieran
Thorpe, Robert
Roy, Shovonlal
Sibly, Richard
SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics
title SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics
title_full SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics
title_fullStr SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics
title_full_unstemmed SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics
title_short SEASIM-NEAM: A Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics
title_sort seasim-neam: a spatially-explicit agent-based simulator of north east atlantic mackerel population dynamics
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490848/
https://www.ncbi.nlm.nih.gov/pubmed/32963971
http://dx.doi.org/10.1016/j.mex.2020.101044
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