This project uses bottom-up modeling at a parcel scale to measure the effects of sea-level rise (SLR) on coastal ecosystems and tidal salt marshes. At selected tidal marshes, the project team will measure several parameters that will be incorporated into ArcGIS models creating comparable datasets across the Pacific coast tidal gradient with a focus on 2-4 sites in the California LCC (e.g. San Diego, San Francisco Bay Refuges). The ultimate goal is to provide science support tools for local adaptation planning from the bottom-up that may be implemented under a structured decision-making framework.
Science Delivery Phase (2013): The objectives are to: (1) Disseminate site-specific baseline data and modeling results, reveal coast-wide trends, and identify data gaps; (2) Identify how local climate science results may be incorporated into habitat conservation, planning, and adaptation strategies; and (3) Recruit stakeholder involvement in developing a decision-making tool (Envision). Workshops will be held in each of the 3-6 areas to present study results and solicit visits with managers over 2-3 days. In addition, stakeholder involvement will be recruited at 1-3 areas to develop a decision-making tool that incorporates climate change projections in management alternatives.
