Big Data, AI Help Advance Ornithology
For the first time, big data and artificial intelligence are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species' full annual life cycle.
How are big data and AI used in ornithology?
Big data and AI are being utilized to model hidden patterns in nature, focusing not just on individual bird species but on entire ecological communities across continents. These models track each species’ full annual life cycle, providing insights into biodiversity and the environmental conditions that influence species interactions.
What is the significance of citizen science in this research?
The participation of over 900,000 birders in the Cornell Lab of Ornithology's eBird program has significantly enhanced data collection. This citizen science initiative helps fill data gaps and provides a large-scale observational dataset that is crucial for identifying patterns of bird biodiversity and prioritizing conservation landscapes.
What are the future plans for this technology?
The team plans to release new biodiversity data products on species richness, which will be freely available to the public. Additionally, they aim to enhance the models to estimate bird abundance and incorporate audio observations, further improving the understanding of bird populations and their ecological dynamics.
Big Data, AI Help Advance Ornithology
published by ITPro
MICHAEL ASKINS
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Results-orientated IT Professional with a proven history of 22+ years of hands-on management, budgeting, design, configuration, and implementation of hardware and software necessary to initiate and maintain business connectivity and productivity.
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A lifelong woodworker, amateur astronomer, and photographer, Michael blends his passions with spending time with his wife and two children as much as possible.
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