Catchment sensitivity and resilience to contaminants

Using a combination of real-time sensors and a suite of process-based models (INtegrated CAtchment models (INCA) and PERSiST) the Crossman lab is working to further our understanding of spatial and temporal variability in interactions between driving variables and environmental responses (Sensitivity). The goal is to facilitate identification of areas at greatest risk from future land use and climate change, and to assist with the development of adaptive and resilient management strategies. This bottom-up climate and landuse impacts approach supports the development of economically robust management solutions.

%d bloggers like this: