Climate change, estuaries and anadromous fish habitat in the northeastern United States: models, downscaling and uncertainty

Barbara Muhling, University of California - Santa Cruz, NOAA Southwest Fisheries Science Center, San Diego, CA, United States, Carlos F Gaitan, University of Oklahoma Norman Campus, Norman, OK, United States, Desiree Tommasi, Princeton University, Atmospheric and Oceanic Sciences, Princeton, NJ, United States, Vincent S Saba, NOAA National Marine Fisheries Service, Princeton, NJ, United States, Charles A Stock, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States and Keith W Dixon, NOAA, Princeton, NJ, United States
Abstract:
Estuaries of the northeastern United States provide essential habitat for many anadromous fishes, across a range of life stages. Climate change is likely to impact estuarine environments and habitats through multiple pathways. Increasing air temperatures will result in a warming water column, and potentially increased stratification. In addition, changes to precipitation patterns may alter freshwater inflow dynamics, leading to altered seasonal salinity regimes. However, the spatial resolution of global climate models is generally insufficient to resolve these processes at the scale of individual estuaries. Global models can be downscaled to a regional resolution using a variety of dynamical and statistical methods. In this study, we examined projections of estuarine conditions, and future habitat extent, for several anadromous fishes in the Chesapeake Bay using different statistical downscaling methods. Sources of error from physical and biological models were quantified, and key areas of uncertainty were highlighted. Results suggested that future projections of the distribution and recruitment of species most strongly linked to freshwater flow dynamics had the highest levels of uncertainty. The sensitivity of different life stages to environmental conditions, and the population-level responses of anadromous species to climate change, were identified as important areas for further research.