Carbon Sequestration Rate Estimates in Delaware Bay and Barnegat Bay Tidal Wetlands Using Interpolation Mapping
by
Lena Champlin 1,*, David Velinsky 1, Kaitlin Tucker 2,3, Christopher Sommerfield 2,§, Kari St. Laurent 4 and Elizabeth Watson 1
Lena Champlin 1,*, David Velinsky 1, Kaitlin Tucker 2,3, Christopher Sommerfield 2,§, Kari St. Laurent 4 and Elizabeth Watson 1
1
Department of Biodiversity, Earth and Environmental Science, Drexel University and The Academy of Natural Science, Philadelphia, PA 19103, USA
2
University of Delaware, Newark, DE 19716, USA
3
Partnership for the Delaware Estuary, Wilmington, DE 19801, USA
4
Delaware National Estuarine Research Reserve, Dover, DE 19734, USA
*
Author to whom correspondence should be addressed.
§
Deceased
Data 2020, 5(1), 11; https://doi.org/10.3390/data5010011
Received: 19 December 2019 / Revised: 17 January 2020 / Accepted: 23 January 2020 / Published: 25 January 2020
Quantifying carbon sequestration by tidal wetlands is important for the management of carbon stocks as part of climate change mitigation. This data publication includes a spatial analysis of carbon accumulation rates in Barnegat and Delaware Bay tidal wetlands. One method calculated long-term organic carbon accumulation rates from radioisotope-dated (Cs-137) sediment cores. The second method measured organic carbon density of sediment accumulated above feldspar marker beds. Carbon accumulation rates generated by these two methods were interpolated across emergent wetland areas, using kriging, with uncertainty estimated by leave-one-out cross validation. This spatial analysis revealed greater carbon sequestration within Delaware, compared to Barnegat Bay. Sequestration rates were found to be more variable within Delaware Bay, and rates were greatest in the tidal freshwater area of the upper bay.
Keywords:
Dataset: Supplemental Data
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MDPI and ACS Style
Champlin, L.; Velinsky, D.; Tucker, K.; Sommerfield, C.; Laurent, K.S.; Watson, E. Carbon Sequestration Rate Estimates in Delaware Bay and Barnegat Bay Tidal Wetlands Using Interpolation Mapping. Data 2020, 5, 11.
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