Abstract:

This dataset includes characterization of Louisiana marsh sediments, including bulk water and total organic carbon content, that vary spatially and in terms of environmental characteristics such as natural and anthropogenic oiling history, inundation frequency, and vegetation type and coverage. The data correspond to soft sediment core sections for which total bacterial communities (16S rRNA) are characterized (R1.x139.143:0010) as part of a longitudinal study of marsh processes and health after the Deepwater Horizon oil spill. Sample collection and analyses were partially supported by NSF RAPID (DEB-1044599), the GoMRI Year-One Block Grant-Louisiana State University, and the CWC RFP-I.

Suggested Citation:

Engel, Annette S.. 2016. Sediment properties of Louisiana marshes, 2010-2011, 2013. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7Q23X55

Publications:

Engel, A. S., Liu, C., Paterson, A. T., Anderson, L. C., Turner, R. E., & Overton, E. B. (2017). Salt marsh bacterial communities before and after the Deepwater Horizon oil spill . Applied and Environmental Microbiology, AEM.00784–17. doi:10.1128/aem.00784-17

Purpose:

To determine the bulk water and total organic carbon content of Louisiana marsh sediments.

Data Parameters and Units:

Bulk water and total organic carbon contents are reported as percent (%) weight. Average content and standard deviation are additionally reported. Sampling site coordinates (Sample ID, Latitude [decimal degrees], longitude [decimal degrees]): ELM_10_027 29.17407 -90.64935 ELM-13-027 29.17407 -90.64935 ELM_10_051 29.1742 -90.64935 ELM_11_085 29.17453 -90.649417 ELM_11_086 29.18792 -90.65265 ELM_10_052 29.188 -90.652667 ELM_10_028 29.18807 -90.6528 ELM-13-028 29.18807 -90.6528 ELM_10_049 29.29018 -90.60365 ELM_11_083 29.2902 -90.6036 ELM-11-116 29.2929 -90.6049 ELM_10_050 29.30438 -90.564667 ELM-11-115 29.30444 -90.565833 ELM_11_084 29.30468 -90.565517 ELM_10_025 29.37843 -90.33653 ELM_10_044 29.454 -89.7699 ELM-11-109 29.4542 -89.769933 ELM_10_015 29.45437 -89.770083 ELM-13-015 29.45437 -89.770083 ELM_10_016 29.45497 -89.758933 ELM-13-016 29.45497 -89.758933 ELM_11_082 29.4554 -89.79735 ELM-11-110 29.45543 -89.759017 ELM_10_043 29.45545 -89.759017 ELM-11-108 29.45545 -89.79768 ELM_10_045 29.45547 -89.79765 ELM-11-107 29.46873 -89.825667 ELM-13-047 29.46873 -89.825667 ELM_11_059 29.46907 -89.82603 ELM_10_046 29.47058 -89.82745 ELM_11_058 29.47073 -89.8274 ELM-11-106 29.48057 -89.8275 ELM_10_001 29.50322 -89.641133 ELM-13-001 29.50322 -89.641133 ELM_10_042 29.50342 -89.64092 ELM-11-105 29.50403 -89.640283 ELM_11_056 29.50413 -89.64035 ELM_10_003 29.53143 -89.627417 ELM-13-003 29.53143 -89.627417 ELM_10_041 29.53175 -89.627617 ELM-11-104 29.53177 -89.627717 ELM_11_055 29.53208 -89.627917

Methods:

Subtidal soft sediment cores were collected in duplicate, 1-2 meters (m) offshore from the marsh vegetation edge, and sectioned in the field. Samples are identified by project ("ELM"), numerical site ID, and core depth ("A" for 0-1 cm depth and "B" for 1-2 cm depth). Bulk water (LOI110 Water %) and total organic carbon (LOI550 OC %) contents were determined from an optimized loss on ignition (LOI) method. This dataset provides supplemental information about sediment samples for which bacterial communities were characterized (R1.x139.143:0010).

Individual Files: