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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ftunivreading:oai:centaur.reading.ac.uk:92977 2024-06-23T07:55:22+00:00 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 2020 text https://centaur.reading.ac.uk/92977/ https://centaur.reading.ac.uk/92977/1/Boyd_et_al2020_MethodX_1-s2.0-S2215016120302648-main.pdf en eng Elsevier https://centaur.reading.ac.uk/92977/1/Boyd_et_al2020_MethodX_1-s2.0-S2215016120302648-main.pdf Boyd, R., Walker, N., Hyder, K., Thorpe, R., Roy, S. <https://centaur.reading.ac.uk/view/creators/90005425.html> orcid:0000-0003-2543-924X and Sibly, R. <https://centaur.reading.ac.uk/view/creators/90000168.html> orcid:0000-0001-6828-3543 (2020) SEASIM-NEAM: a spatially-explicit agent-based SIMulator of North East Atlantic mackerel population dynamics. MethodsX, 7. 101044. ISSN 2215-0161 doi: https://doi.org/10.1016/j.mex.2020.101044 <https://doi.org/10.1016/j.mex.2020.101044> cc_by_4 Article PeerReviewed 2020 ftunivreading https://doi.org/10.1016/j.mex.2020.101044 2024-06-11T15:10:14Z 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. Article in Journal/Newspaper North East Atlantic Northeast Atlantic CentAUR: Central Archive at the University of Reading MethodsX 7 101044 |
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Open Polar |
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CentAUR: Central Archive at the University of Reading |
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ftunivreading |
language |
English |
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. |
format |
Article in Journal/Newspaper |
author |
Boyd, Robin Walker, Nicola Hyder, Kieran Thorpe, Robert Roy, Shovonlal Sibly, Richard |
spellingShingle |
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 |
author_facet |
Boyd, Robin Walker, Nicola Hyder, Kieran Thorpe, Robert Roy, Shovonlal Sibly, Richard |
author_sort |
Boyd, Robin |
title |
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_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_sort |
seasim-neam: a spatially-explicit agent-based simulator of north east atlantic mackerel population dynamics |
publisher |
Elsevier |
publishDate |
2020 |
url |
https://centaur.reading.ac.uk/92977/ https://centaur.reading.ac.uk/92977/1/Boyd_et_al2020_MethodX_1-s2.0-S2215016120302648-main.pdf |
genre |
North East Atlantic Northeast Atlantic |
genre_facet |
North East Atlantic Northeast Atlantic |
op_relation |
https://centaur.reading.ac.uk/92977/1/Boyd_et_al2020_MethodX_1-s2.0-S2215016120302648-main.pdf Boyd, R., Walker, N., Hyder, K., Thorpe, R., Roy, S. <https://centaur.reading.ac.uk/view/creators/90005425.html> orcid:0000-0003-2543-924X and Sibly, R. <https://centaur.reading.ac.uk/view/creators/90000168.html> orcid:0000-0001-6828-3543 (2020) SEASIM-NEAM: a spatially-explicit agent-based SIMulator of North East Atlantic mackerel population dynamics. MethodsX, 7. 101044. ISSN 2215-0161 doi: https://doi.org/10.1016/j.mex.2020.101044 <https://doi.org/10.1016/j.mex.2020.101044> |
op_rights |
cc_by_4 |
op_doi |
https://doi.org/10.1016/j.mex.2020.101044 |
container_title |
MethodsX |
container_volume |
7 |
container_start_page |
101044 |
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1802647946517282816 |