Automatic assimilation of biodiversity and remote sensing inputs ensures up-to-date and accurate predictions across the US
Generalized Joint Attribute Modeling (GJAM) fits all species jointly, ensuring robust community and species level predictions
Our models forecast community reorganization under climate change, with information for decision makers & scientists
Allows the public, decision makers, and scientists to explore, visualize, and download our forecast models
With tutorials and code available, you can leverage our models and workflow to incorporate and augment your own data
We seek to achieve the highest standard in our work, and make available all our code to ensure our models are accurate
Access our web maps on tablet, laptop, and desktop. All functionality is retained across platforms and browsers.
Upload your own biodiversity data, your own environmental variables, or extend our model to outside the United States!
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A warming climate is altering spring green-up. Seyednasrollah, using remote sensing and a new approach that quantifies the rate of green-up.
Earth’s climate is now changing faster than at any point in the history of modern civilization, primarily as a result of human activities.
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