Wind-Driven Dissolved Organic Matter Dynamics in a Chesapeake Bay Tidal Marsh-Estuary System
Controls on organic matter cycling across the tidal wetland-estuary interface have proved elusive, but high-resolution observations coupled with process-based modeling can be a powerful methodology to address shortcomings in either methodology alone. In this study, detailed observations and three-dimensional hydrodynamic modeling are used to examine biogeochemical exchanges in the marsh-estuary system of the Rhode River, MD, USA. Analysis of observations near the marsh in 2015 reveals a strong relationship between marsh creek salinity and dissolved organic matter fluorescence (fDOM), with wind velocity indirectly driving large amplitude variation of both salinity and fDOM at certain times of the year. Three-dimensional model results from the Finite Volume Community Ocean Model implemented for the wetland system with a new marsh grass drag module are consistent with observations, simulating sub-tidal variability of marsh creek salinity. The model results exhibit an interaction between wind-driven variation in surface elevation and flow velocity at the marsh creek, with northerly winds driving increased freshwater signal and discharge out of the modeled wetland during precipitation events. Wind setup of a water surface elevation gradient axially along the estuary drives the modeled local sub-tidal flow and thus salinity variability. On sub-tidal time scales (>36 h, <1 week), wind is important in mediating dissolved organic matter releases from the Kirkpatrick Marsh into the Rhode River.
KeywordsTidal wetlands Chesapeake Bay Hydrology Dissolved organic matter FVCOM
We would like to thank Andrew Peresta for deploying and maintaining the EXO2 sonde at the Kirkpatrick Marsh Creek, the Smithsonian Institution and Smithsonian Environmental Research Center for support, and the entire MARSHCYCLE team for many thoughtful discussions. We would also like to thank two anonymous reviewers for comments that helped greatly improve this manuscript. This research was supported by National Aeronautics and Space Administration grant NNH13ZDA001N-CARBON. Contact the corresponding author for model forcing and output and post processing scripts. This is University of Maryland Center for Environmental Science contribution # 5392 and Smithsonian MarineGEO network contribution # 21.
- Breitburg, D. L., A. H. Hines, T. E. Jordan, M. K. McCormick, D. E. Weller, and D. F. Whigham. 2008. Landscape patterns, nutrient discharges, and biota of the Rhode River estuary and its watershed: Contribution of the Smithsonian Environmental Research Center to the Pilot Integrated Ecosystem Assessment. Smithsonian Environmental Research Center, Edgewater, Maryland.Google Scholar
- Chen, Changsheng, Jianhua Qi, Chunyan Li, Robert C. Beardsley, Huichan Lin, Randy Walker, and Keith Gates. 2008. Complexity of the flooding/drying process in an estuarine tidal-creek salt-marsh system: An application of FVCOM. Journal of Geophysical Research: Oceans 113.C7.Google Scholar
- Chen, C., Beardsley, R.C., Cowles, G., Qi, J., Lai, Z., Gao, G., Stuebe, D., Liu, H., Xu, Q., Xue, P. and Ge, J., 2013. An unstructured-grid, finite-volume community ocean model FVCOM User Manual. SMAST-UMASSD Technical Report-13-0701, University of Massachusetts-Dartmouth. 37–44.Google Scholar
- Chmura, Gail L., Shimon C. Anisfeld, Donald R. Cahoon, and James C. Lynch. 2003. Global carbon sequestration in tidal, saline wetland soils. Global biogeochemical cycles 17.4.Google Scholar
- Dame, R.F., J.D. Spurrier, T.M. Williams, B. Kjerfve, R.G. Zingmark, R.G. Wolaver, R.G. Chrzanowski, R.G. McKellar, R.G. Vernberg. 1991. Annual material processing by a salt marsh-estuarine basin in South Carolina, USA. Marine Ecology Progress Series 72:153–166.Google Scholar
- Downing, Bryan D., Brian A. Pellerin, Brian A. Bergamaschi, John Franco Saraceno, and Tamara E.C. Kraus. 2012. Seeing the light: The effects of particles, dissolved materials, and temperature on in situ measurements of DOM fluorescence in rivers and streams. Limnology and Oceanography: Methods 10.10: 767–775.Google Scholar
- Fagherazzi, Sergio, Patricia L. Wiberg, Stijn Temmerman, Eric Struyf, Yong Zhao, and Peter A. Raymond. 2013. Fluxes of water, sediments, and biogeochemical compounds in salt marshes. Ecological Processes 2.1: 1–16.Google Scholar
- Fairall, Chris W., Edward F. Bradley, David P. Rogers, James Bearer Edson, and George S. Young. 1996. Bulk parameterization of air-sea fluxes for tropical ocean-global atmosphere coupled-ocean atmosphere response experiment. Journal of Geophysical Research: Oceans 101.C2: 3747–3764.CrossRefGoogle Scholar
- Geyer, W.R. 1996. Influence of wind on dynamics and flushing of shallow estuaries. Estuarine, Coastal and Shelf Science 44.6: 713–722.Google Scholar
- Herrmann, Maria, Raymond G. Najjar, W. Michael Kemp, Richard B. Alexander, Elizabeth W. Boyer, Wei-Jun Cai, Peter C. Griffith, Kevin D. Kroeger, S. Leigh McCallister, and Richard A. Smith. 2015. Net ecosystem production and organic carbon balance of US East Coast estuaries: a synthesis approach. Global Biogeochemical Cycles 29.1: 96–111.CrossRefGoogle Scholar
- Ikegami, M., D. F. Whigham, and M. J. A. Werger. 2006. Scirpus olneyi (Cyperaceae) shows phenotypical differentiation in a salt marsh on the east coast of the USA. Polish Botanical Studies.Google Scholar
- Kumar, Sanjiv, and Venkatesh Merwade. 2011. Evaluation of NARR and CLM3. 5 outputs for surface water and energy budgets in the Mississippi River Basin. Journal of Geophysical Research: Atmospheres 116: D8.Google Scholar
- Lu, Yuehan, James E. Bauer, Elizabeth A. Canuel, Yamashita Youhei, R.M. Chambers, and Rudolf Jaffé. 2013. Photochemical and microbial alteration of dissolved organic matter in temperate headwater streams associated with different land use. Journal of Geophysical Research: Biogeosciences 118.2: 566–580.Google Scholar
- MATLAB. n.d. Statistics Toolbox and Signal Processing Toolbox, Release R2014B, The MathWorks, Inc., Natick, Massachusetts, United States.Google Scholar
- Nixon, Scott W. 1980. Between coastal marshes and coastal waters—a review of twenty years of speculation and research on the role of salt marshes in estuarine productivity and water chemistry. Springer US.Google Scholar
- NOAA Tides and Currents. n.d. https://tidesandcurrents.noaa.gov/. Accessed 6 April, 2016.
- R Core Team 2015. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
- Sherwood, Chris. 1989 Revised by P. Wiberg, 2003. MATLAB function lpfilt. The MathWorks Inc., Natick, Massachusetts, United States.Google Scholar
- Stow, Craig A., Jason Jolliff, Dennis J. McGillicuddy, Scott C. Doney, J. Icarus Allen, Marjorie A.M. Friedrichs, Kenneth A. Rose, Philip Wallhead. 2009. Skill assessment for coupled biological/physical models of marine systems. Journal of Marine Systems 76(1–2):4–15.Google Scholar
- Trapletti, Adrian and Kurt Hornik 2015. tseries: time series analysis and computational finance. R package version 0.10–34.Google Scholar
- Tzortziou, Maria, Patrick J. Neale, Christopher L. Osburn, J. Patrick Megonigal, Nagamitsu Maie, and Rudolf Jaffé. 2008. Tidal marshes as a source of optically and chemically distinctive colored dissolved organic matter in the Chesapeake Bay. Limnology and Oceanography 53.1: 148–159.CrossRefGoogle Scholar
- Vinnikov, Konstantin. 2015. Baltimore – Washington Airport Wjind Climatology. http://www.atmos.umd.edu/~kostya/NIST/WIND/SURFACE/KBWI_2010_10or13_WIND_2.pdf. Accessed March 8, 2017.
- Wang, Zhaohui Aleck, and Wei-Jun Cai. 2004. Carbon dioxide degassing and inorganic carbon export from a marsh-dominated estuary (the Duplin River): A marsh CO2 pump. Limnology and Oceanography 49.2: 341–354.Google Scholar
- Weather Underground. n.d. https://www.wunderground.com/us/md/annapolis. Accessed 6 April 2016.