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After two decades struggling with varroa, I realized that I needed to
deeply understand varroa population dynamics, relative to climate,
colony strength and amount of brood, mite influx from drift, and the ability of bees to affect
varroa reproductive success. To that end I reviewed nearly every published study on varroa, and spent a year creating
an accurate predictive model of varroa buildup in a colony, and the effects of treatments, swarming and other
management techniques - confirmed by alcohol wash data from my own commercial operation, as well as feedback from beekeepers
worldwide.
I created this model to be user-friendly to the beekeeper, yet of use to bee biologists.
This simple model makes roughly 1500 calculations each time you enter a value,
and is fully customizable. I continually revise and update this model, so always
use the latest version.
Basic assumptions, adjustments, and calculations for r values
Since it is nearly impossible to accurately predict the precise effects of varroa
and virus buildup upon colony population dynamics, the model assumes that mites will be managed to never
exceed a level that affects the colony. I made no attempt to reflect the effect of mite buildup upon
colony health, other than the eventual crash of the colony. My own
field data indicate that a proportion of colonies will exhibit mite buildup rates far outside the mean
(either way) - thus please assume that the simulations reflect median values.
The basic assumption of the model is that the rate of cell invasion by foundress mites is a matter of chance,
dependent upon the ratio of 5-day larvae to adult bees. I used Willem Boot's data to arrive at a basic regression
equation, then drew most of my other variables from the excellent model proposed by Stephen Martin (to whom I'm
immensely appreciative), and added mite immigration and exodus. The root assumption is that foundress mites invade cells at the rate of y = -5*ln(x) + 5, with
x being the brood:adult bee ratio, and y being the number of days of phoresy. I further used data from Lloyd Harris and Katie Lee to
come up with additional values, and the tested the model against my own field data, as well as data from
Jeff Harris, Bob Danka (and all) from the Baton Rouge lab, Eva Frey, and a number of other researches to whom I owe
a great debt of gratitude.
I offer this model to the beekeeping and scientific community, and invite suggestions for improvement.
Randy Oliver.