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Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA....
Categories: Data,
Data Release - Revised;
Tags: C-band synthetic aperture radar,
Cape Cod,
Carbon sequestration,
Chesapeake Bay,
Everglades National Park, All tags...
National greenhouse gas inventory,
Puget Sound,
San Francisco Bay,
St Mary Parish,
Terrebonne Parish,
USGS Science Data Catalog (SDC),
aboveground carbon stocks,
multispectral imagery,
plant functional type,
tidal marsh biomass,
wetlands, Fewer tags
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Understanding the rates and patterns of tidal wetland elevation changes relative to sea-level is essential for understanding the extent of potential wetland loss over the coming years. Using an enhanced and more flexible modeling framework of an ecosystem model (WARMER-2), we explored sea-level rise (SLR) impacts on wetland elevations and carbon sequestration rates through 2100 by considering plant community transitions, salinity effects on productivity, and changes in sediment availability. We incorporated local experimental results for plant productivity relative to inundation and salinity into a species transition model, as well as site-level estimates of organic matter decomposition. The revised modeling framework...
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