The Coastal Carolinas FAS ecological-flow response models will be used to test the efficacy of flow thresholds or standards that have been established and used to protect the ecological integrity of streams and rivers. For example, SC has implemented a flow standard based on 7Q10 values and a NC commissioned Science Advisory Board has recommended an 80% flow-by standard for NC streams. These ecological flow standards will be entered into current and projected land-use, water-use, and climate-change scenarios. The ecological flow-response simulations will help determine how realistic these flow standards are in light of current and projected flow conditions and will provide an opportunity to examine how societal and ecological water demands compete as climate changes and human demand for water increases.
The following tasks will be conducted:
- Acquisition of fish and invertebrate data from North and South Carolina State biomonitoring programs from STORET and(or) directly from the State.
- Locate ecological monitoring sites in each basin, determine their proximity to structures known to influence streamflows and biotic assemblages, determine their proximity to each other, and summarize land-use and other pertinent basin characteristics.
- Review of biological sampling sites to determine which ones are appropriate for modeling responses in time and space and if sample collection and processing methods are compatible.
- Review of existing response models and application to the Yadkin/PeeDee/Waccamaw and Cape Fear River basins.
- Calculation of ecologically relevant streamflow statistics. Ecologically important flow statistics will be calculated using USGS Eflow Stats package for R developed by the USGS National Water Census Program.
- Incorporate modeled streamflow at all ecological monitoring sites with other pertinent variables and work with stakeholders to:
- evaluate the applicability of the current models,
- develop new models with greater applicability to the Waccamaw and Cape Fear River basins, and
- assess model uncertainty (e.g., using Bayesian analysis to better represent regional and site-specific uncertainty in the models).
- Test efficacy of various ecological flow criteria (e.g. 7Q10 and 80% flow by).