Contributors | Affiliation | Role |
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Mortazavi, Behzad | National Science Foundation (NSF-DEB) | Principal Investigator, Contact |
Burnett, William C. | Florida State University EOAS (FSU - EOAS) | Co-Principal Investigator |
Ake, Hannah | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Physical environmental data from Little Lagoon, Alabama.
Little Lagoon is a shallow coastal lagoon that is tidally connected to the Gulf of Mexico but has no riverine inputs. The water in the lagoon is replenished solely from precipitation and groundwater inputs primarily on the East end (Su et al. 2012). Because of the rapid development in Baldwin County, a large amount of NO3- enters the Little Lagoon system through SGD (Murgulet & Tick 2008). In this region, there can be rapid changes in the depth to groundwater (Fig. 4.1 inset) and episodic SGD inputs to the lagoon (Su et al.2013). Within the lagoon, three sites were selected (East, Mouth, and West) to represent the gradient that exists across the lagoon from the input of groundwater. Sites were sampled on a near-monthly basis from February 2012 to February 2013.
Abiotic Parameters
At each site, point measurements of temperature, salinity, pH, and dissolved oxygen (DO) were recorded with a YSI 556 Multiparameter Meter. Triplicate sediment porewater samples were collected with a modified coring device (2.7 cm ID), sectioned at 10 mm intervals to 60 mm, and extracted in 10 mL of 1 M NaCl (Smith & Caffrey 2009) prior to filtering and freezing. The filtered (GF/F, 0.7 micron) supernatant was analyzed for DIN (NO2 -, NO3 -, NH4 +) and phosphate (PO4 3-), and represents total extractable porewater nutrients. Standard wet chemical techniques modified for the Skalar SAN+ Autoanalyzer (Pennock & Cowan 2001) were performed for all nutrient concentration analysis. Water column and sediment chlorophyll-α content were determined fluorometrically (Welschmeyer 1994) after cold extraction in 90% acetone from filters and in triplicate, respectively.
Additional methodology can be found in:
Bernard, Rebecca & Mortazavi, Behzad & A. Kleinhuizen, Alice. (2015). Dissimilatory nitrate reduction to ammonium (DNRA) seasonally dominates NO3− reduction pathways in an anthropogenically impacted sub-tropical coastal lagoon. Biogeochemistry. 125. 47-64. 10.1007/s10533-015-0111-6.
Data were flagged as below detection limits if no measurable rates were returned after calculations. See equations in methodology section of:
Bernard, Rebecca & Mortazavi, Behzad & A. Kleinhuizen, Alice. (2015). Dissimilatory nitrate reduction to ammonium (DNRA) seasonally dominates NO3− reduction pathways in an anthropogenically impacted sub-tropical coastal lagoon. Biogeochemistry. 125. 47-64. 10.1007/s10533-015-0111-6.
Statistical Analysis
To test the seasonal flux variability between sites in Little Lagoon, two-way ANOVAs with site and date as independent variables were performed. When data could not be transformed to meet ANOVA assumptions, Wilcoxon/Kruskal-Wallis nonparametric tests were used. When significant differences occurred, Tukey HSD or Steel-Dwass post hoc tests were used to determine significant interactions. A Principal component analysis (PCA) was conducted on all biogeochemical parameters to identify underlying multivariate components that may be influencing N fluxes. Spearman’s rho correlation analysis was used to examine the relationship between the principal components and fluxes. Statistical significance of the data set was determined at α=0.05 and error is reported as standard error. All statistical analyses were performed in SAS JMP 10 (SAS Institute Inc.).
BCO-DMO Data Processing Notes:
- Data reorganized into one table under one set of column names from both original files
- Units removed from column names
- Column names reformatted to meet BCO-DMO standards
- Created column Year to describe to capture the metadata in the file name
File |
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abiotic.csv (Comma Separated Values (.csv), 3.83 KB) MD5:922f79579b5c1f25ca1ddded558dbca2 Primary data file for dataset ID 723993 |
Parameter | Description | Units |
Year | Year ID that samples were taken | unitless |
Date | Month and day that samples were taken; MMM-DD | unitless |
avg_sediment_chla | Average sediment chlorophyll-a content from all sites | miligrams per m-2 |
avg_sediment_chla_SE | Standard error of average sediment chlorophyll-a content | miligrams per m-2 |
avg_waterColumn_chla | Average water column cholorphyll-a content from all sites | ug L-1 |
avg_waterColumn_chla_SE | Standard error of average water column chlorophyll-a content | ug L-1 |
avg_temperature | Average temperature across sites | Celsius |
avg_temperature_SE | Standard error of average temperatures across sites | Celsius |
avg_salinity | Average salinity across sites | PSU |
avg_salinity_SE | Standard error of average salinity across sites | PSU |
avg_waterColumn_Nox | Average water column values for nitrate plus nitrite | micromoles |
avg_waterColumn_Nox_SE | Standard error of average water column values for nitrate plus nitrite | micromoles |
avg_waterColumn_NH4 | Average water column values for ammonium | micromoles |
avg_waterColumn_NH4_SE | Standard error of average water column values for ammonium | micromoles |
avg_waterColumn_PO4 | Average water column values for PO4 3- | micromoles |
avg_waterColumn_PO4_SE | Standard error of average water column values for PO4 3- | micromoles |
Mouth_Temperature | Temperature sampled at the site Mouth; location of site is 30.243683, -87.738407 | Celsius |
East_Temperature | Temperature sampled at the site East; location of site is 30.253347, -87.724729 | Celsius |
West_Temperature | Temperature sampled at the site West; location of site is 30.247181, -87.767856 | Celsius |
Mouth_Salinity | Salinity at the site Mouth; location of site is 30.243683, -87.738407 | PSU |
East_Salinity | Salinity at the site East; location of site is 30.253347, -87.724729 | PSU |
West_Salinity | Salinity at the site West; location of site is 30.247181, -87.767856 | PSU |
Mouth_sediment_chla | Sediment chlorophyll-a content from the site Mouth; location of site is 30.243683, -87.738407 | miligrams per m-2 |
Mouth_sediment_chla_SE | Standard error of sediment chlorophyll-a content. | miligrams per m-3 |
East_sediment_chla | Sediment chlorophyll-a content from the site East location of site is 30.253347, -87.724729 | miligrams per m-2 |
East_sediment_chla_SE | Standard error of sediment chlorophyll-a content. | miligrams per m-3 |
West_sediment_chla | Sediment chlorophyll-a content from the site West location of site is 30.247181, -87.767856 | miligrams per m-2 |
West_sediment_chla_SE | Standard error of sediment chlorophyll-a content. | miligrams per m-3 |
Mouth_waterColumn_NH4 | NH4+ concentration in the water column of site Mouth; location of site is 30.243683, -87.738407 | micromoles |
Mouth_waterColumn_NH4_SE | Standard error of NH4+ concentration in the water column. | micromoles |
East_waterColumn_NH4 | NH4- concentration in the water column of site East; location of site is 30.253347, -87.724729 | micromoles |
East_waterColumn_NH4_SE | Standard error of NH4+ concentration in the water column. | micromoles |
West_waterColumn_NH4 | NH4+ concentration in the water column of site West; location of site is 30.247181, -87.767856 | micromoles |
West_waterColumn_NH4_SE | Standard error of NH4+ concentration in the water column. | micromoles |
Mouth_waterColumn_NO3 | NO3- concentration in the water column of site Mouth; location of site is 30.243683, -87.738407 | micromoles |
Mouth_waterColumn_NO3_SE | Standard error of NO3- concentration in the water column. | micromoles |
East_waterColumn_NO3 | NO3- concentration in the water column of site East; location of site is 30.253347, -87.724729 | micromoles |
East_waterColumn_NO3_SE | Standard error of NO3- concentration in the water column. | micromoles |
West_waterColumn_NO3 | NO3- concentration in the water column of site West; location of site is 30.247181, -87.767856 | micromoles |
West_waterColumn_NO3_SE | Standard error of NO3- concentration in the water column. | micromoles |
Mouth_waterColumn_PO4 | PO4 3- concentration in the water column of site Mouth; location of site is 30.243683, -87.738407 | micromoles |
Mouth_waterColumn_PO4_SE | Standard error of PO4 3- concentration in the water column. | micromoles |
East_waterColumn_PO4 | PO4 3- concentration in the water column of site East; location of site is 30.253347, -87.724729 | micromoles |
East_waterColumn_PO4_SE | Standard error of PO4 3- concentration in the water column. | micromoles |
West_waterColumn_PO4 | PO4 3- concentration in the water column of site West; location of site is 30.247181, -87.767856 | micromoles |
West_waterColumn_PO4_SE | Standard error of PO4 3- concentration in the water column. | micromoles |
Dataset-specific Instrument Name | Thermometer |
Generic Instrument Name | digital thermometer |
Dataset-specific Description | Used to collect temperature |
Generic Instrument Description | An instrument that measures temperature digitally. |
Dataset-specific Instrument Name | YSI 556 Multiparameter Meter |
Generic Instrument Name | Oxygen Sensor |
Dataset-specific Description | Used to determine DO |
Generic Instrument Description | An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed |
Dataset-specific Instrument Name | pH sensor |
Generic Instrument Name | pH Sensor |
Dataset-specific Description | Used to determine pH |
Generic Instrument Description | An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). |
Dataset-specific Instrument Name | Salinity Sensor |
Generic Instrument Name | Salinity Sensor |
Dataset-specific Description | Used to sample salinity |
Generic Instrument Description | Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data. |
Website | |
Platform | SmallBoat_FSU |
Start Date | 2010-04-05 |
End Date | 2013-08-17 |
Description | The sampling sites were all accessed from small boats, here amalgamated to one deployment called LittleLagoon. |
This project investigated the link between submarine groundwater discharge (SGD) and microalgal dynamics in Little Lagoon, Alabama. In contrast to most near-shore environments, it is fully accessible; has no riverine inputs; and is large enough to display ecological diversity (c. 14x 0.75 km) yet small enough to be comprehensively sampled on appropriate temporal and spatial scales. The PIs have previously demonstrated that the lagoon is a hot-spot for toxic blooms of the diatom Pseudo-nitzchia spp. that are correlated with discharge from the surficial aquifer. This project assessed variability in SGD, the dependence of benthic nutrient fluxes on microphytobenthos (MPB) abundance and productivity, and the response of the phytoplankton to nutrient enrichment and dilution. The work integrated multiple temporal and spatial scales and demonstrated both the relative importance of SGD vs. benthic recycling as a source of nutrients, and the role of SGD in structuring the microalgal community. (paraphrased from Award abstract)
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |