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ApisRAM Formal Model Description

EFSA supporting publications(2022)

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EFSA Supporting PublicationsVolume 19, Issue 2 7184E External scientific reportOpen Access ApisRAM Formal Model Description Xiaodong Duan, Corresponding Author Xiaodong Duan [email protected] Department of Ecoscience, Aarhus University, DenmarkSearch for more papers by this authorDavid Wallis, David Wallis Department of Ecoscience, Aarhus University, DenmarkSearch for more papers by this authorFani Hatjina, Fani Hatjina Dep. of Apiculture- Ellinikos Georgikos Organismos 'DIMITRA', GreeceSearch for more papers by this authorNoa Simon-Delso, Noa Simon-Delso BeeLife European Beekeeping Coordination, BelgiumSearch for more papers by this authorAnnette Bruun Jensen, Annette Bruun Jensen Department of Plant and Environmental Sciences, University of Copenhagen, DenmarkSearch for more papers by this authorChristopher John Topping, Christopher John Topping Department of Ecoscience, Aarhus University, DenmarkSearch for more papers by this author Xiaodong Duan, Corresponding Author Xiaodong Duan [email protected] Department of Ecoscience, Aarhus University, DenmarkSearch for more papers by this authorDavid Wallis, David Wallis Department of Ecoscience, Aarhus University, DenmarkSearch for more papers by this authorFani Hatjina, Fani Hatjina Dep. of Apiculture- Ellinikos Georgikos Organismos 'DIMITRA', GreeceSearch for more papers by this authorNoa Simon-Delso, Noa Simon-Delso BeeLife European Beekeeping Coordination, BelgiumSearch for more papers by this authorAnnette Bruun Jensen, Annette Bruun Jensen Department of Plant and Environmental Sciences, University of Copenhagen, DenmarkSearch for more papers by this authorChristopher John Topping, Christopher John Topping Department of Ecoscience, Aarhus University, DenmarkSearch for more papers by this author First published: 25 February 2022 https://doi.org/10.2903/sp.efsa.2022.EN-7184 Question number: EFSA-Q-2016-00558 Disclaimer: The present document has been produced and adopted by the bodies identified above as authors. This task has been carried out exclusively by the authors in the context of a contract between the European Food Safety Authority and the authors, awarded following a tender procedure. The present document is published complying with the transparency principle to which the Authority is subject. It may not be considered as an output adopted by the Authority. The European Food Safety Authority reserves its rights, view and position as regards the issues addressed and the conclusions reached in the present document, without prejudice to the rights of the authors. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract The ApisRAM model is an agent-based colony model for honey bees in which each bee is modelled as an individual agent. The behaviour of the colony emerges from the decisions and actions taken by individuals in the colony and the interactions between agents. The bees interact with, and react to, both other bees and the resources in the colony, the hive physical and chemical properties, and the environment outside the colony. A key feature of ApisRAM is the approach to representing bee health. This is a 'vitality' model which is used to integrate multiple stressors (unfavourable temperature, food shortage, infectious agents and pesticides) for each individual bee. The vitality of each model bee interacts with all the four stressors. The environment in which the colony is modelled is implemented as a dynamic landscape simulation within ALMaSS (the Animal Landscape and Man Simulation System). The ALMaSS landscape model is a spatially and temporally dynamic model which combines land use, detailed farm practices, weather, crop growth, semi-natural habitats, and flower resource models. With the combination of the colony and landscape models, the ApisRAM model provides a framework for in silico experiments, e.g., pesticides applications, designed to explore the effects of combined stressors on honey bee colonies under a variety of environmental and human (e.g. beekeeping management practices) factors. References Ai H, Kobayashi Y, Matake T, Takahashi S, Hashimoto K, Maeda S and Tsuruta N, 2017. Development of honeybee waggle dance and its differences between recruits and scouts. bioRxiv, 179408. Akyol E, Yeninar H, Sahinler N and Guler A, 2006. The effects of additive feeding and feed additives before wintering on honey bee colony performances, wintering abilities and survival rates at the East Mediterranean region. Pakistan Journal of Biological Sciences, 9(4), 589– 592. 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Supporting Information Filename Description efs37184e-sup-0001-Annex-A.pdfPDF document, 838.3 KB Supplementary Material efs37184e-sup-0002-Annex-B.pdfPDF document, 2.3 MB Supplementary Material efs37184e-sup-0003-Annex-C.pdfPDF document, 244.4 KB Supplementary Material efs37184e-sup-0004-Annex-D.xlsxExcel 2007 spreadsheet , 167.1 KB Supplementary Material efs37184e-sup-0005-Annex-E.xlsxExcel 2007 spreadsheet , 574.1 KB Supplementary Material Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume19, Issue2February 20227184E ReferencesRelatedInformation
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