Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection
To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species are located and then be able to predict what habitats will be available to them in the future. To help them in these tasks, the scientists use species distribution models tha...
Image: Phys.org
To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species are located and then be able to predict what habitats will be available to them in the future. To help them in these tasks, the scientists use species distribution models that identify species' habitats from observational data and climate scenarios.
Originally published at Phys.org
