Floods are one of the costliest natural disasters both in terms of damages and human livelihood losses. Urban encroachment on floodplains increases exposure and vulnerability to floods while population changes and climate change are expected to exacerbate those risks.
Human acceleration of eutrophication through continued watershed and lakeshore development, combined with changes in temperature and climate, increasingly challenges managers to meet human needs while protecting aquatic resources. While annual winter water level drawdowns (WDs) are commonly used to reduce nuisance macrophyte biomass, the future utility and impacts to ecosystems under climate change remains uncertain.
As climate change is impacting the future of aquatic flows, there is a great need for natural resource managers to assess adaptation measures in a holistic manner. The latter requires integrating multiple models with observational data, but that can be problematic due to disparities in terms of scale or fidelity of each model.
