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Kew scientists use AI to predict extinction risk for all the world's plants

- BY MOLLY BLAIR

Scientists from the Royal Botanic Gardens, Kew have used AI to predict the extinction risk for every known

owering plant on earth.

For the Krst time, scientists from the Royal Botanic Gardens, Kew have used artikcial intelligen­ce (AI) to predict the extinction risk for every known #owering plant.

In earlier iterations of this research, scientists had predicted that 45 per cent of all #owering plants were threatened with extinction. Now, this data is publicly available with a full set of prediction­s for individual species.

This allows everyone, from garden designers choosing plants for RHS Chelsea Flower Show to beginners buying their Krst houseplant, to look up a species online and immediatel­y see whether it is threatened with extinction in the wild and the threat level.

To Knd out a plant's risk of extinction status, people can head to Kew's Plants of the World website and type in a species. Once on the page, clicking through to General Informatio­n and opening up the Angiosperm Extinction Risk Prediction box will bring up the newly available informatio­n.

Dr Steven Bachman, Research Leader in RBG Kew’s Conservati­on Assessment and Analysis team and author of the study, says: “We hope that these prediction­s can be used for people to apply to their own local biodiversi­ty to Knd out if they’ve got a threatened species in their house, garden or local park that needs protecting. At a larger scale, our Kndings can be used by scientists to prioritise and accelerate extinction assessment­s for the plants we’ve identiked as probably threatened but haven’t been o*cially assessed."

To come up with the prediction­s for all 328,565 known species of #owering plants in the world, scientists used the Bayesian Additive Regression Trees (BART) model trained on a dataset of more than 53,000 plants that had already been assessed on the Internatio­nal Union for Conservati­on of Nature (IUCN) Red List to determine the likely status of un-assessed species.

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