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

Boyd, Robin ORCID: https://orcid.org/0000-0002-7973-9865; Walker, Nicola; Hyder, Kieran; Thorpe, Robert; Roy, Shovonlal; Sibly, Richard. 2020 SEASIM-NEAM: a Spatially-Explicit Agent-based SIMulator of North East Atlantic Mackerel population dynamics. MethodsX, 7, 101044. 21, pp. 10.1016/j.mex.2020.101044

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Official URL: http://dx.doi.org/10.1016/j.mex.2020.101044

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.mex.2020.101044
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	2215-0161
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	Atlantic mackerel, individual-based model, bioenergetics, spatially-explicit, approximate bayesian computation
NORA Subject Terms:	Ecology and Environment
Date made live:	14 Sep 2020 15:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/528470

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.mex.2020.101044

UKCEH and CEH Sections/Science Areas:

Biodiversity (Science Area 2017-)

ISSN:

2215-0161

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

Atlantic mackerel, individual-based model, bioenergetics, spatially-explicit, approximate bayesian computation