The Cascadia bioregion is a busy, data-rich place. 

 

Our coalition partners have lots going on, with their own initiatives, including some inter-organizational efforts.  But these are too often siloed. And the pace and complexity of change at different scales is increasing beyond their capacity. 

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Our partners and collaborators say they want an integrated biodiversity early warning system to enable fast, reliable responses based on systems analysis, model learning and other multiscale, up-to-task interoperability tools.

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This system will link real-world needs and cutting-edge methods, citizen science volunteerism, remotely sensed data, machine- and model-learning and predictive tools for significantly better policy, planning, management and rapid action.

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Cascadia Biodiversity Evidence also offers important system-learning opportunities with paired networks in Polynesia (Berkeley Institute of Data Science/Gump Research Station, Tahiti), the Sierra Nevadas (Eric Berlow), and elsewhere.

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Geospatial data, interoperability and model-training are essential, to extrapolate and understand biodiversity vulnerability.