Citation:

Kuan, C., B. Curry, G. DeGrandi-Hoffman, K. Garber, A. Kanarek, AND Tom Purucker. Parameter sensitivity analysis for pesticide impacts on honeybee colonies. Association of Southeastern Biologists, Concord, NC, March 31 - April 03, 2016.

Impact/Purpose:

Poster to be presented at Association of Southeastern Biologists, Concord, NC, Mar 31-Apr 3, 2016

Description:

We employ Monte Carlo simulation and linear sensitivity analysis techniques to describe the dynamics of a bee exposure model, VarroaPop. Daily simulations are performed that simulate hive population trajectories, taking into account queen strength, foraging success, weather, colony resources, population structure, and other important variables. This allow us to test the effects of defined pesticide exposure scenarios versus controlled simulations that lack pesticide exposure. The daily resolution of the model also allows us to conditionally identify sensitivity metrics.

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