Boyd Robin, Walker Nicola, Hyder Kieran, Thorpe Robert, Roy Shovonlal, Sibly Richard
Centre for Ecology and Hydrology, Wallingford, United Kingdom.
Centre for Environment, Fisheries and Aquaculture, Science, Lowestoft, United Kingdom.
MethodsX. 2020 Aug 29;7:101044. doi: 10.1016/j.mex.2020.101044. eCollection 2020.
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.
2018年，我们发表了一个基于个体的空间明确模型（IBM），该模型利用卫星获取的食物可获得性和温度地图来预测东北大西洋鲭鱼（Scomber scombrus，NEAM）的种群动态。从那时起，为了解决各种生态问题，我们对IBM进行了扩展，纳入了更多的过程和数据。在其整个开发过程中，技术文档是以例如已发表文章的补充信息的形式提供的。然而，我们承认，潜在用户很难从单独的补充文档中整理信息并全面了解IBM的当前状态。在此，我们提供我们IBM最新版本的完整技术规范。技术规范以标准的ODD（概述、设计概念和细节）格式提供，并辅以TRACE（透明和全面的模型评估）文档。我们首次为我们的模型赋予了首字母缩写SEASIM-NEAM：东北大西洋鲭鱼种群动态的基于空间明确主体的模拟器。本文取代了以前的文档。展望未来，我们希望本文将促进类似模型的开发。•本文整理了随着时间推移对SEASIM-NEAM所做的改进。
