Montpellier researchers say AI can predict multiple fish communities, with clear limits

Researchers trained a model on large reef surveys to write and assemble whole fish communities, not just single species. The tool produces several plausible compositions under the same environmental context, reflecting how species interact and co-occur. This challenges older methods that treated each species in isolation and emphasizes the value of examining multiple configurations.

In about one third of cases, the generated communities split into distinct groups with recurring species associations. While these findings illuminate possible ecological patterns, the model does not prove that such configurations exist in nature; instead, it provides a new framework for testing hypotheses against ecological data.

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