This work provides a flexible and scalable framework to assess the impacts of climate change on streamflow and stream temperature within the North Atlantic Landscape Conservation Cooperative (NALCC) region. This is accomplished through use of lumped parameter, physically-based, conceptual hydrologic and stream temperature models formulated in a hierarchical Bayesian framework. This allows for model predictions of streamflow and temperature at ungaged locations and a formal accounting of model estimate uncertainty at each location, something not previously achieved in these models. These environmental models will also link seamlessly with the land use and fish models. The final products of this project will provide: 1) Estimates of monthly stream temperature and flow at user-defined locations within the NALCC, 2) A formal accounting of uncertainty of these estimates, 3) The ability for users to select different land use and climate change scenarios when determining estimates of stream temperature and flow, 4) Seamless integration with on-going landscape change and brook trout population modelling efforts within the NALCC, and 5) A robust framework for expanding this work beyond the NALCC.
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