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ORCID
https://orcid.org/0000-0003-2773-7726
Access Type
Open Access Thesis
Document Type
thesis
Degree Program
Geography
Degree Type
Master of Science (M.S.)
Year Degree Awarded
2023
Month Degree Awarded
February
Abstract
Tidal marshes serve as important “blue carbon” ecosystems that accrete large amounts of carbon with limited area. While much attention has been paid to the spatial variability of sedimentation within salt marshes, less work has been done to characterize spatial variability in marsh carbon density. Driven by tidal inundation, surface topography, and sediment supply, soil properties in marshes vary spatially with several parameters, including marsh platform elevation and proximity to the marsh edge and tidal creek network. We used lidar to extract these morphometric parameters from tidal marshes to map soil organic carbon (SOC) at the meter scale. Fixed volume soil samples were collected at four northeast U.S. tidal marshes with distinctive morphologies to aid in building our predictive models. Tidal creek networks were delineated from 1-m resolution topo-bathy lidar data using a semi-automated workflow in GIS. Sample distance to tidal creeks and flow distance to the marsh edge were then determined. Log-linear multivariate regression models were developed to predict soil organic content, bulk density, and carbon density as a function of these predictive metrics at each site and across sites. Results show that modeling salt marsh soil characteristics with morphometric inputs works best in marshes with simple, single creek morphologies. Distance from tidal creeks was the most significant model predictor. Addition of distance to the inlet and tidal range as regional metrics significantly improves cross-site modeling. Our process-based approach results in predicted total marsh carbon stocks comparable to previous studies but provides trade-offs to existing simplistic carbon mapping methods. Further, we provide motivation to continue rigorous mapping of soil carbon at fine spatial resolutions and to use these results to guide salt marsh restoration projects and aid in the development of carbon markets.
DOI
https://doi.org/10.7275/33175612
First Advisor
Qian Yu
Second Advisor
Brian Yellen
Third Advisor
Jonathan Woodruff
Surface Soil Samples
metadata_Turek_NEtidalmarsh_surfacesoilsamples.docx (19 kB)
Metadata
Recommended Citation
Turek, Bonnie, "Modeling Spatial Distributions of Tidal Marsh Blue Carbon using Morphometric Parameters from Lidar" (2023). Masters Theses. 1278.
https://doi.org/10.7275/33175612
https://scholarworks.umass.edu/masters_theses_2/1278
Included in
Environmental Health and Protection Commons, Environmental Monitoring Commons, Geographic Information Sciences Commons, Geology Commons, Geomorphology Commons, Hydrology Commons, Natural Resources and Conservation Commons, Natural Resources Management and Policy Commons, Nature and Society Relations Commons, Oceanography Commons, Other Earth Sciences Commons, Physical and Environmental Geography Commons, Sedimentology Commons, Soil Science Commons, Spatial Science Commons