Effects of man-made channels on estuaries: An example, Apalachicola Bay, Florida

1988 ◽  
pp. 71-87
Author(s):  
Donald C. Raney
Keyword(s):  
Apalachicola Bay

scholarly journals Analysis Methods for Characterizing Salinity Variability from Multivariate Time Series Applied to the Apalachicola Bay Estuary

2012 ◽  
Vol 29 (4) ◽  
pp. 613-628 ◽  
Author(s):  
Steven L. Morey ◽  
Dmitry S. Dukhovskoy
Keyword(s):  
Time Series ◽  
Time Scales ◽  
River Discharge ◽  
River Flow ◽  
High Salinity ◽  
Multivariate Time Series ◽  
Salinity Range ◽  
Apalachicola Bay ◽  
Analysis Methods ◽  
Salinity Variability

Abstract Statistical analysis methods are developed to quantify the impacts of multiple forcing variables on the hydrographic variability within an estuary instrumented with an enduring observational system. The methods are applied to characterize the salinity variability within Apalachicola Bay, a shallow multiple-inlet estuary along the northeastern Gulf of Mexico coast. The 13-yr multivariate time series collected by the National Estuary Research Reserve at three locations within the bay are analyzed to determine how the estuary responds to variations in external forcing mechanisms, such as freshwater discharge, precipitation, tides, and local winds at multiple time scales. The analysis methods are used to characterize the estuarine variability under differing flow regimes of the Apalachicola River, a managed waterway, with particular focus on extreme events and scales of variability that are critical to local ecosystems. Multivariate statistical models are applied that describe the salinity response to winds from multiple directions, river flow, and precipitation at daily, weekly, and monthly time scales to understand the response of the estuary under different climate regimes. Results show that the salinity is particularly sensitive to river discharge and wind magnitude and direction, with local precipitation being largely unimportant. Applying statistical analyses with conditional sampling quantifies how the likelihoods of high-salinity and long-duration high-salinity events, conditions of critical importance to estuarine organisms, change given the state of the river flow. Intraday salinity range is shown to be negatively correlated with the salinity, and correlated with river discharge rate.

Evidence for microfloral succession on allochthonous plant litter in Apalachicola Bay, Florida, USA

1977 ◽  
Vol 41 (3) ◽  
pp. 229-240 ◽  
Author(s):  
S. J. Morrison ◽  
J. D. King ◽  
R. J. Bobbie ◽  
R. E. Bechtold ◽  
D. C. White
Keyword(s):  
Plant Litter ◽  
Apalachicola Bay

scholarly journals Observing Plumes and Overturning Cells with a New Coastal Bottom Drifter

2018 ◽  
Vol 35 (8) ◽  
pp. 1675-1686 ◽  
Author(s):  
Lena M. Schulze Chretien ◽  
Kevin Speer
Keyword(s):  
Ocean Circulation ◽  
Small Scale ◽  
Coastal Environments ◽  
Constant Depth ◽  
Physical Processes ◽  
Apalachicola Bay ◽  
Local Topography ◽  
Tracking Device ◽  
To Receive ◽  
Drifter Trajectory

AbstractA new platform, the Coastal Bottom Drifter, was designed and built to observe near-bottom environments in coastal regions. It is capable of observing properties by drifting near the bottom with a prescribed clearance or at a constant depth of up to 300 m. The platform can observe physical and biochemical parameters, such as temperature, salinity, oxygen, and velocities, and has the capacity to carry additional sensors to measure, for example, pH, turbidity, and nutrients. In addition, it can profile to the surface at chosen intervals and can be deployed for days or up to several months. The integrated Iridium communication allows the user to receive positions and data while the platform is surfaced, as well as send new missions to the instrument. The use of an acoustic bottom-tracking device allows the construction of a drifter trajectory while providing information about ocean circulation. Additionally, the ADCP provides information about suspended particles and possible sediment transport. These measurements are valuable in understanding coastal environments as well as the dominant physical processes that cause mixing and set the conditions for local biological activity. An example deployment in Apalachicola Bay shown in this study demonstrates the ability of the drifter to observe small-scale features, such as overturning cells and plumes of dense water, that are caused by local topography.

Phytoplankton Spatial Variability in the River-Dominated Estuary, Apalachicola Bay, Florida

2018 ◽  
Vol 41 (7) ◽  
pp. 2024-2038 ◽  
Author(s):  
Natalie L. Geyer ◽  
Markus Huettel ◽  
Michael S. Wetz
Keyword(s):  
Spatial Variability ◽  
Apalachicola Bay

scholarly journals Suspended sediment projections in Apalachicola Bay in response to altered river flow and sediment loads under climate change and sea level rise

2016 ◽  
Vol 4 (10) ◽  
pp. 428-439 ◽  
Author(s):  
Wenrui Huang ◽  
Scott C. Hagen ◽  
Dingbao Wang ◽  
Paige A. Hovenga ◽  
Fei Teng ◽  
...  
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Suspended Sediment ◽  
Sea Level ◽  
River Flow ◽  
Apalachicola Bay ◽  
Sediment Loads ◽  
And Sea Level

A quantitative comparison of microbial community structure of estuarine sediments from microcosms and the field

1986 ◽  
Vol 32 (4) ◽  
pp. 319-325 ◽  
Author(s):  
Thomas W. Federle ◽  
Robert J. Livingston ◽  
Loretta E. Wolfe ◽  
David C. White
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Communities ◽  
Microbial Community Structure ◽  
Ecological Factors ◽  
Estuarine Sediments ◽  
Physical Factors ◽  
Multivariate Statistical ◽  
Apalachicola Bay ◽  
Sound Experiment

Estuarine soft-bottom sediments in microcosms and the field were compared with regard to microbial community structure. Community structure was determined by analyzing the fatty acids derived from the microbial lipids in the sediments. Fatty acid profiles were compared using a multivariate statistical approach. Experiments were performed using sediments from St. George Sound and Apalachicola Bay, Florida. The community structure of St. George Sound sediments was apparently controlled by epibenthic predators. In Apalachicola Bay, the dominant influences were physical factors related to the flow of the Apalachicola River. In the St. George Sound experiment, microbial communities in the microcosms differed from those in the field after only 2 weeks, and the degree of this difference increased substantially as time progressed. In the Apalachicola Bay experiment, although microbial communities in the microcosms were detectably different from those in the field, the degree of this difference was not large nor did it increase with time. This differential behavior of sediment communities from different sites may be related to the different ecological factors regulating community composition at these sites.

scholarly journals Seasonal Trends in Surface pCO2 and Air-Sea CO2 Fluxes in Apalachicola Bay, Florida, From VIIRS Ocean Color

2018 ◽  
Vol 123 (8) ◽  
pp. 2466-2484 ◽  
Author(s):  
Ishan D. Joshi ◽  
Nicholas D. Ward ◽  
Eurico J. D'Sa ◽  
Christopher L. Osburn ◽  
Thomas S. Bianchi ◽  
...  
Keyword(s):  
Ocean Color ◽  
Co2 Fluxes ◽  
Seasonal Trends ◽  
Apalachicola Bay
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