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dc.contributor.authorBecher, MA
dc.contributor.authorGrimm, V
dc.contributor.authorThorbek, P
dc.contributor.authorHorn, J
dc.contributor.authorKennedy, PJ
dc.contributor.authorOsborne, JL
dc.date.accessioned2015-10-19T08:20:16Z
dc.date.issued2014-03-04
dc.description.abstractSummary: A notable increase in failure of managed European honeybee Apis mellifera L. colonies has been reported in various regions in recent years. Although the underlying causes remain unclear, it is likely that a combination of stressors act together, particularly varroa mites and other pathogens, forage availability and potentially pesticides. It is experimentally challenging to address causality at the colony scale when multiple factors interact. In silico experiments offer a fast and cost-effective way to begin to address these challenges and inform experiments. However, none of the published bee models combine colony dynamics with foraging patterns and varroa dynamics. We have developed a honeybee model, BEEHAVE, which integrates colony dynamics, population dynamics of the varroa mite, epidemiology of varroa-transmitted viruses and allows foragers in an agent-based foraging model to collect food from a representation of a spatially explicit landscape. We describe the model, which is freely available online (www.beehave-model.net). Extensive sensitivity analyses and tests illustrate the model's robustness and realism. Simulation experiments with various combinations of stressors demonstrate, in simplified landscape settings, the model's potential: predicting colony dynamics and potential losses with and without varroa mites under different foraging conditions and under pesticide application. We also show how mitigation measures can be tested. Synthesis and applications. BEEHAVE offers a valuable tool for researchers to design and focus field experiments, for regulators to explore the relative importance of stressors to devise management and policy advice and for beekeepers to understand and predict varroa dynamics and effects of management interventions. We expect that scientists and stakeholders will find a variety of applications for BEEHAVE, stimulating further model development and the possible inclusion of other stressors of potential importance to honeybee colony dynamics. © 2014 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.en_GB
dc.description.sponsorshipBiotechnology and Biological Sciences Research Council (BBSRC)en_GB
dc.identifier.citationVol. 51, pp. 470 - 482en_GB
dc.identifier.doi10.1111/1365-2664.12222
dc.identifier.grantnumberBB/H00114Xen_GB
dc.identifier.urihttp://hdl.handle.net/10871/18487
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.subjectApis melliferaen_GB
dc.subjectColony declineen_GB
dc.subjectCross-level interactionsen_GB
dc.subjectFeedbacksen_GB
dc.subjectForagingen_GB
dc.subjectModellingen_GB
dc.subjectMulti-agent simulationen_GB
dc.subjectMultiple stressorsen_GB
dc.subjectPredictive systems ecologyen_GB
dc.subjectVarroa destructoren_GB
dc.titleBEEHAVE: A systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failureen_GB
dc.typeArticleen_GB
dc.date.available2015-10-19T08:20:16Z
dc.identifier.issn0021-8901
dc.descriptionJournal Articleen_GB
dc.description© 2014 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly citeden_GB
dc.identifier.eissn1365-2664
dc.identifier.journalJournal of Applied Ecologyen_GB


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