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Journal article
Carbon Sequestration Rate Estimates in Delaware Bay and Barnegat Bay Tidal Wetlands Using Interpolation Mapping
Data (Basel), v 5(1)
01 Mar 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Carbon Sequestration Rate Estimates in Delaware Bay and Barnegat Bay Tidal Wetlands Using Interpolation Mapping
- Creators
- Lena Champlin - Drexel Univ, Dept Biodivers Earth & Environm Sci, Philadelphia, PA 19103 USADavid Velinsky - Drexel UniversityKaitlin Tucker - Univ Delaware, Newark, DE 19716 USAChristopher Sommerfield - University of DelawareKari St Laurent - Delaware Natl Estuarine Res Reserve, Dover, DE 19734 USAElizabeth Watson - Drexel University
- Publication Details
- Data (Basel), v 5(1)
- Publisher
- Mdpi
- Number of pages
- 11
- Grant note
- CE98212312 / US Environmental Protection Agency; United States Environmental Protection Agency
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biodiversity, Earth, and Environmental Science (BEES); Academy of Natural Sciences of Drexel University
- Web of Science ID
- WOS:000523712300001
- Scopus ID
- 2-s2.0-85078844495
- Other Identifier
- 991019168483504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems