Results of international standardised beekeeper surveys of colony losses for winter 2012-2013 : analysis of winter loss rates and mixed effects modelling of risk factors for winter loss.

van der Zee, Romee and Brodschneider, Robert and Brusbardis, Valters and Charriere, Jean-Daniel and Chlebo, Robert and Coffey, Mary F and Dahle, BjØrn and Drazic, Marica M and Kauko, Lassi and Kretavicius, Justinas and Kristiansen, Preben and Mutinelli, Franco and Otten, Christoph and Peterson, Magnus and Raudmets, Aivar and Santrac, Violeta and Seppala, Ari and Soroker, Victoria and Topolska, Grazyna and Vejsnaes, Flemming and Gray, Alison (2014) Results of international standardised beekeeper surveys of colony losses for winter 2012-2013 : analysis of winter loss rates and mixed effects modelling of risk factors for winter loss. Journal of Apicultural Research and Bee World, 53 (1). pp. 19-34. ISSN 1751-2891 (https://doi.org/10.3896/IBRA.1.53.1.02)

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Abstract

This article presents results of an analysis of winter losses of honey bee colonies from 19 mainly European countries, most of which implemented the standardised 2013 COLOSS questionnaire. Generalised linear mixed effects models (GLMMs) were used to investigate the effects of several factors on the risk of colony loss, including different treatments for Varroa destructor, allowing for random effects of beekeeper and region. Both winter and summer treatments were considered, and the most common combinations of treatment and timing were used to define treatment factor levels. Overall and within country colony loss rates are presented. Significant factors in the model were found to be: percentage of young queens in the colonies before winter, extent of queen problems in summer, treatment of the varroa mite, and access by foraging honey bees to oilseed rape and maize. Spatial variation at the beekeeper level is shown across geographical regions using random effects from the fitted models, both before and after allowing for the effect of the significant terms in the model. This spatial variation is considerable.