In Progress

Spatially explicit models to predict collisions or electrocutions 

We are developing predictRISK, a user-friendly application that predicts the risk of wildlife collisions and electrocutions by combining species traits with recorded mortality rates.

By integrating species distribution with transport and energy infrastructure networks, the predictRISK will help identify mortality hotspots and guide more effective mitigation efforts.

SCRAM

Risk of avian collisions with offshore wind energy turbines

The collision risk estimation process includes four main components:

(1) movement modeling to determine monthly occupancy rates over the Northeast Shelf,

(2) linking of monthly population estimates to occupancy rates to estimate species density across the Northeast Shelf,

(3) flight height estimation from Motus and GPS telemetry data to further refine the proportion of the population at risk of collision, and

(4) a collision risk model that uses density estimates at specific flight heights (along with a suite of other species- and location-specific parameters) to estimate collision for a specified turbine array.

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