@article {76376,
	title = {Sea Level Affecting Marshes Model (SLAMM)},
	year = {2014},
	note = {This is a technical document discussing how to use a computer program to model the effects of sea-level rise on native seagrass. {\textquotedblleft}Because of the ecological importance of SAV [submerged aquatic vegetation] habitats, U.S. EPA, USGS, and USDA partnered with Warren Pinnacle Consulting to enhance the SLAMM modeling software to include new functionality in order to predict changes in Zostera marina distribution within Pacific Northwest estuaries in response to sea level rise.{\textquotedblright} (from the Introduction)  The Yaquina River estuary and Willapa Bay are used as examples. While the emphasis of the document is on GIS, there are some good maps of Yaquina Bay. Clearly, a sea-level rise would have an impact on native seagrass distribution, with Zostera present in fewer areas.  The latest version of the tool can be found at:  https://coast.noaa.gov/digitalcoast/tools/slamm.html . 

 },
	pages = {50 p.},
	address = {Newport, Or.},
	keywords = {aquatic vegetation, bathymetry, climate change, eelgrass = Zostera marina, geographic information system, salt marsh, sea level, topography, Willapa Bay, Yaquina Bay},
	url = {https://warrenpinnacle.com/prof/SLAMM6/SLAMM_6.3_final_release.pdf},
	author = {Lee II, Henry and Reusser, Deborah A. and Frazier, Melanie R.. and McCoy, Lee M. and Patrick J Clinton and Clough, Jonathan S. and U.S. Environmental Protection Agency.  National Health and Environmental Effects Research Laboratory. Office of Research and Development. Western Ecology Division,}
}
@article {36491,
	title = {Tidal wetlands of the Yaquina and Alsea River estuaries, Oregon: Geographic Information Systems layer development and recommendations for National Wetlands Inventory revisions},
	volume = {no.2012{\textendash}1038},
	year = {2013},
	note = {{\textquotedblleft}Geographic Information Systems (GIS) layers of current, and likely former, tidal wetlands in two Oregon estuaries were generated by enhancing the 2010 National Wetlands Inventory (NWI) data with expert local field knowledge, Light Detection and Ranging-derived elevations, and 2009 aerial orthophotographs. Data were generated for two purposes: First, to enhance the NWI by recommending revised Cowardin et al. (1979) classifications for certain NWI wetlands within the study area; and second, to generate GIS data for the 1999 Yaquina and Alsea River Basins Estuarine Wetland Site Prioritization study{\textellipsis}.  The GIS products of this project improve the accuracy and utility of the NWI data, and provide useful tools for estuarine resource management.{\textquotedblright} (from the Abstract) Color maps.  Appendix A includes excellent color photographs of wetland sites and plants.  },
	pages = {60 p.},
	institution = {U.S. Geological Survey},
	address = {Reston, Va.},
	keywords = {Alsea Bay, Alsea River, Bain Slough, Boone Slough, Depot Slough, Drift Creek, Eckman Slough, geographic information system, hydrography, Idaho Flats, Lint Slough, maps, McCaffery Slough, Nute Slough, Olalla Slough, Pooles Slough, Risley Creek, salinity, salt marsh, wetland delineation, wetland vegetation, wetlands, Yaquina Bay, Yaquina River},
	url = {https://pubs.usgs.gov/of/2012/1038/pdf/ofr2012-1038.pdf},
	author = {Brophy, Laura S. and Reusser, Deborah A. and Janousek, Christopher N. and Green Point Consulting, and U.S. Geological Survey, and U.S.Environmental Protection Agency,}
}
