AI reveals explosive bursts in bird evolution
University of Michigan researchers used artificial intelligence to analyze skeletal measurements of songbirds, revealing that their evolution occurred in rapid bursts linked to climate change. This study supports long-standing evolutionary theories regarding adaptive radiation and the impact of environmental shifts on biodiversity.
Why it matters
It provides empirical evidence for evolutionary theory using modern AI techniques, helping scientists better understand how climate change influences the diversification of life.
University of Michigan scientists have used artificial intelligence to uncover a striking pattern in the evolution of Passeriformes, the vast bird group that includes most songbirds. Their analysis suggests these birds did not evolve at a steady pace. Instead, major changes often arrived in rapid bursts that lined up with shifts in Earth's climate.
Evolutionary theory has long proposed that life diversifies through periods of fast change followed by slower phases. Fossils have offered clues that this pattern exists, but the new study identified it by analyzing skeletal measurements from modern bird specimens. The researchers also found that several of the most important evolutionary bursts occurred around periods of major climate change.
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