Birders and AI push bird conservation to the next level

The development and application of this revolutionary computational tool is the result of a collaboration between the Cornell Lab of Ornithology and the Cornell Institute for Computational Sustainability. This work is now published in the journal Ecology.

"This method uniquely tells us which species occur where, when, with what other species, and under what environmental conditions," said lead author Courtney Davis, a researcher at the Cornell Lab. "With that type of information, we can identify and prioritize landscapes of high conservation value -- vital information in this era of ongoing biodiversity loss."

"This model is very general and is suitable for various tasks, provided there's enough data," Gomes said. "This work on joint bird species distribution modeling is about predicting the presence and absence of species, but we are also developing models to estimate bird abundance -- the number of individual birds per species. We're also aiming to enhance the model by incorporating bird calls alongside visual observations."

Cross-disciplinary collaborations like this are necessary for the future of biodiversity conservation, according to Daniel Fink, researcher at the Cornell Lab and senior author of the study.

"The task at hand is too big for ecologists to do on their own-we need the expertise of our colleagues in computer science and computational sustainability to develop targeted plans for landscape-scale conservation, restoration, and management around the world."

This work was funded by the National Science Foundation, The Leon Levy Foundation, The Wolf Creek Foundation, the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship -- a Schmidt Future program, the Air Force Office of Scientific Research, and the U.S. Department of Agriculture's National Institute of Food and Agriculture.