Abstract
These data were derived as part of a soil characterization study of the Davis Pond freshwater diversion wetland located 18 km upstream of New Orleans in Southeast Louisiana. The sampling was performed in 2018 after 11 years of river loading from diverted Mississippi River water. The top 20 cm of soil was sampled from 140 stations with push cores and divided into two 10 cm sections. Bulk core sections were analyzed for physiochemical properties, soil nutrients, and some metals.
Keywords: soil carbon, bulk density, coastal wetlands, Louisiana, phosphorus
Authors
*indicates corresponding author
Associated Publication
Spera, A. C., White, J. R., & Corstanje, R. (2020). Spatial and temporal changes to a hydrologically-reconnected coastal wetland: Implications for restoration. Estuarine, Coastal and Shelf Science, 238, 106728. doi.org/10.1016/j.ecss.2020.106728
Funding
Soil sampling was funded by The Water Institute of the Gulf under project award number 2000249131. This project was paid for with federal funding from the Department of the Treasury through the Louisiana Coastal Protection and Restoration Authority’s Center of Excellence Research Grants Program under the Resources and Ecosystems Sustainability, Tourist Opportunities, and Revived Economies of the Gulf Coast States Act of 2012 (RESTORE Act). The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the Department of the Treasury, CPRA or The Water Institute of the Gulf. Additional support was provided by a research grant from the Society of Wetland Scientists.
Data Publication
This data publication was assembled and published by the Coastal Carbon Network through the Smithsonian Figshare repository. Please direct any related comments or inquiries to CoastalCarbon@si.edu.
Start Date: 2018
End Date: 2018
No core-associated taxonomic data included.
Physical: White_and_Spera_2024_materials_and_methods.csv
Physical: White_and_Spera_2024_cores.csv
Physical: White_and_Spera_2024_depthseries.csv
Intellectual Rights
This dataset is listed under a Creative Commons BY 4.0 and can be used with attribution.