Modeling

Augment existing near real-time earthquake-triggered landslide and liquefaction hazard models with products such as landslide dam likelihood, road network disturbances, and disruption to ports. Investigate methods for improving and/or rapidly updating models such as remote sensing data, historical fill maps, and social media and news reports.

Shifts in phenology provide one of the strongest indicators of an organism’s adaptive capacity to climate change, yet it is one of the most poorly known consequences of future impacts. This project seeks to improve understanding and develop adaptation strategies of the effects of phenological shifts and trophic mismatches in Atlantic coastal fish, seabird and marine mammal species.