"BATMATHS! Using bat motion modelling to find roosts"
This research presents two key advancements in bat conservation through mathematical modelling and ecological data integration. First, we developed a mathematical model to predict the movement of Greater Horseshoe bats, allowing us to estimate their location based on known roost positions. Second, we introduced a novel algorithm that combines bat movement data with sound recordings from static microphone detectors, enabling the identification of potential bat roost locations. This method significantly reduces the area to be searched, improving conservation efficiency and supporting sustainable building practices. Our approach not only enhances bat protection but also offers valuable tools for ecologists to optimise monitoring efforts in diverse environments.