The primary objective of the research is to develop a rule-based decision support system to predict the relative vulnerability of nearshore species to climate change. The approach is designed to be applicable to fishes and invertebrates with limited data by predicting risk from readily avialable data, including species’ biogeographic distributions and natural history attributes. By evaluating multiple species and climate stressors, the approach allows an assessment of climate vulnerability acorss habitat types and the impact of specific climate alterations as well as their cumulative impact. A website with a rule-based application for rockfish and crabs is availalble at http://cbrat.org/.
