Using crowd-sourced data from eBird, researchers developed a tool that forecasts individual birds’ movements based on their past locations. This opens up new avenues for research and promises to be a useful tool for birdwatchers, researchers say.
, a computer science researcher at the University of Massachusetts Amherst who led the research, told The Daily Beast. “In some ways, this is like extracting it in a quantitative way.”
In contrast, BirdFlow bases its data off of the more than 200 million individually reported bird sightings that are collected and used by eBird. While the site can currently map the abundance of a bird species in a given region over time, it doesn’t predict where one bird or a whole flock will go next. BirdFlow generates simulated routes for a bird, forecasting where it will go based on where it’s been.
“We think the fact that we can have a model that has good predictive performance without having to collect any tracking data would be a major advance for scientists and conservation efforts,” he said.
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