Longterm effects of antibiotic treatments on honeybee colony fitness: A modelling approach. J Appl Ecol.
Horn, J., Becher, M.A., Kennedy, P.J., Osborne, J.L. & Grimm, V. (2016). Multiple stressors: using the honeybee model BEEHAVE to explore how spatial and temporal forage stress affects colony resilience. Oikos, 125, 1001-1016.
McMahon, D.P., Natsopoulou, M.E., Doublet, V., Furst, M., Wegings, S., Brown, M.J., Gogol-Doring, A., & Paxton, R.J. (2016) Elevated virulence of an emerging viral genotype as a driver of honeybee loss. Proc Biol Sci. 283, 1833.
Thorbek, P., Campbell, P.J., Sweeny, P.J., & Thompson, H.M., (2016). Using BEEHAVE to explore pesticide protection goals for European honeybee (Apis melifera L.) worker losses at different forage qualities. Environ Toxicol Chem.
EFSA. (2015). Statement on the suitability of the BEEHAVE model for its potential use in a regulatory context and for the risk assessment of multiple stressors in honeybees at the landscape level. EFSA Journal, 13, 91.
Rumkee, J.C.O., Becher, M.A., Thorbek, P., Kennedy, P.J. & Osborne, J.L. (2015). Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides. Environmental Science & Technology, 49, 12879-12887.
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