Abstract

It is generally thought that the intensification of farming will result in higher disease prevalences, although there is little specific modelling testing this idea. Focussing on honeybees, we build multi‐colony models to inform how “apicultural intensification” is predicted to impact honeybee pathogen epidemiology at the apiary scale.We used both agent‐based and analytical models to show that three linked aspects of apicultural intensification (increased population sizes, changes in population network structure and increased between‐colony transmission) are unlikely to greatly increase disease prevalence in apiaries. Principally this is because even low‐intensity apiculture exhibits high disease prevalence.The greatest impacts of apicultural intensification are found for diseases with relatively low R0 (basic reproduction number), however, such diseases cause little overall disease prevalence and, therefore, the impacts of intensification are minor. Furthermore, the smallest impacts of intensification are for diseases with high R0 values, which we argue are typical of important honeybee diseases. Policy Implications: Our findings contradict the idea that apicultural intensification by crowding honeybee colonies in large, dense apiaries leads to notably higher disease prevalences for established honeybee pathogens. More broadly, our work demonstrates the need for informative models of all agricultural systems and management practices in order to understand the implications of management changes on diseases.

Highlights

  • Infectious diseases have significant impacts on agricultural sustainability (Brijnath, Butler, & McMichael, 2014) and profitability (James, 1981)

  • The relationship between intensification and R0 is principally derived from the agent-based model (ABM), presented second, but is partly explored in the analytical model presented first

  • Our results present a counterintuitive picture of apicultural intensification and its consequences on disease prevalence within apiaries

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Summary

Introduction

Infectious diseases have significant impacts on agricultural sustainability (Brijnath, Butler, & McMichael, 2014) and profitability (James, 1981). A key question is how agricultural intensification and novel agricultural practices impact the emergence and epidemiology of infectious disease We build specific models of apiarylevel intensification in commercially farmed honeybees to examine the impact of industrial-scale management practices on honeybee infectious disease prevalence. There is a growing body of literature documenting the damage that emerging or re-emerging diseases (Wilfert et al, 2016) are causing in apiculture (Jacques et al., 2017; Kielmanowicz et al, 2015) and native pollinators

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