This Master’s Project sought to improve the performance, data display and utility of
the Lake Erie HAB Tracker model for predicting the location and movement of harmful algal
blooms (HABs) in western Lake Erie. These improvements will benefit stakeholders by
allowing public water systems to prepare for HAB events and by allowing anglers and
boaters to avoid affected locations. Specifically, this research addressed three
topics: 1) Microcystis colony rising/sinking (buoyant) velocity, a parameter in the HAB
Tracker model, was measured using an improved method. Statistical relationships were
obtained between buoyant velocity and environmental variables, showing lower buoyancy
associated with greater light exposure, smaller colony size and deficient nutrient levels. 2)
Model skill was assessed in comparison to satellite-derived HAB distributions using a
neighborhood-based spatial smoothing method. We found that model skill was improved
after spatial smoothing using a 3-km neighborhood. 3) We conducted a series of focus
group interviews with Lake Erie fishing charter captains and recreational anglers to evaluate
perceptions of HABs and the HAB Tracker. Our results indicated that the majority of anglers
seek to avoid fishing in HABs, but that beliefs vary regarding the impact of HABs on fish and
human health. We determined that anglers may find the HAB Tracker to be useful, but we
recommend specific changes to improve the presentation of information on the HAB Tracker
web site to make it more accessible. We also recommend improved content and methods of
communication to better reflect angler concerns and interests.