Oceanography The Official Magazine of
The Oceanography Society
Volume 26 Issue 03

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Volume 26, No. 3
Pages 88 - 97

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Landscape Estimates of Habitat Types, Plant Biomass, and Invertebrate Densities in a Georgia Salt Marsh

By John F. Schalles , Christine M. Hladik , Alana A. Lynes , and Steven C. Pennings  
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Article Abstract

Salt marshes often contain remarkable spatial heterogeneity at multiple scales across the landscape. A combination of advanced remote-sensing approaches (hyperspectral imagery and lidar) and conventional field survey methods was used to produce detailed quantifications and maps of marsh platform geomorphology, vegetation composition and biomass, and invertebrate patterns in a Georgia (USA) salt marsh. Community structure was largely related to hydrology, elevation, and soil properties. Both abiotic drivers and community patterns varied among subwatersheds and across the landscape at larger spatial scales. The authors conclude that measurements of marsh ecosystem structure and processes are spatially contextual and not scalable without detailed geospatial analysis. Efforts to protect and restore coastal marshes must strive to document, understand, and conserve this inherent spatial complexity.

Citation

Schalles, J.F., C.M. Hladik, A.A. Lynes, and S.C. Pennings. 2013. Landscape estimates of habitat types, plant biomass, and invertebrate densities in a Georgia salt marsh. Oceanography 26(3):88–97, https://doi.org/​10.5670/oceanog.2013.50.

References

Adam, E., O. Mutanga, and D. Rugege. 2010. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review. Wetlands Ecology and Management 18:281–296, https://doi.org/​10.1007/s11273-009-9169-z.

Alber, M. 2013. GCE-LTER Project 2012 NSF Annual Progress Report: Research Findings. Georgia Coastal Ecosystems LTER File Archive, University of Georgia, Athens, Georgia. Available online at: http://gce-lter.marsci.uga.edu/public/app/resource_details.asp?id=522 (accessed June 26, 2013).

Alexander, C. 2008. Wrack Assessment Using Aerial Photography in Coastal Georgia. Final Report, Skidaway Institute of Oceanography, Savannah, GA, 20 pp. Available online at: http://www.skio.usg.edu (accessed July 8, 2013).

Altieri, A.H., M.D. Bertness, T.C. Coverdale, N.C. Herrmann, and C. Angelini. 2012. A trophic cascade triggers collapse of a salt-marsh ecosystem with intensive recreational fishing. Ecology 93:1,402–1,410, https://doi.org/​10.1890/11-1314.1.

Antlfinger, A.E., and E.L. Dunn. 1979. Seasonal patterns of CO2 and water vapor exchange of three salt marsh succulents. Oecologia 43:249–260, https://doi.org/​10.1007/BF00344952.

Blanton, J., F. Andrade, M. Adelaide Ferreira, and J. Amft. 2007. A Digital Elevation Model of the Duplin Intertidal Area. Final Report Submitted to the Georgia Coastal Ecosystems LTER Program, Skidaway Institute of Oceanography, Savannah, GA, 9 pp. 

Craft, C., J. Clough, J. Ehman, S. Joye, R. Park, S. Pennings, H. Guo, and M. Machmuller. 2009. Forecasting the effects of accelerated sea-level rise on tidal marsh ecosystem services. Frontiers in Ecology and the Environment 7:73–78, https://doi.org/10.1890/070219.

Gitelson, A.A., Y.J. Kaufman, R. Stark, and D.C. Rundquist. 2002. Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment 80:76–87, https://doi.org/10.1016/S0034-4257(01)00289-9.

Gitelson, A.A., A. Vina, T.J. Arkbauer, D.C. Rundquist, G. Keydan, and B. Leavitt. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters 30, 1248, https://doi.org/10.1029/2002GL016450.

Hardisky, M.A., M.F. Gross, and V. Klemas. 1986. Remote sensing of coastal wetlands. Bioscience 36:453–460.

Higinbotham, C.B., M. Alber, and A.G. Chalmers. 2004. Analysis of tidal marsh vegetation patterns in two Georgia estuaries using aerial photography and GIS. Estuaries 27:670–683, https://doi.org/10.1007/BF02907652.

Hladik, C.M. 2012. Use of remote sensing data for evaluating elevation and plant distribution in a Southeastern salt marsh. PhD Dissertation, University of Georgia, Athens, GA. 

Hladik, C., and M. Alber. 2012. Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model. Remote Sensing of Environment 121:224–235, https://doi.org/​10.1016/j.rse.2012.01.018

Hughes, Z.J., D.M. FitzGerald, C.A. Wilson, S.C. Pennings, K. Więski, and A. Mahadevan. 2009. Rapid headward erosion of marsh creeks in response to relative sea level rise. Geophysical Research Letters 36, L03602, https://doi.org/​10.1029/2008GL036000.

Klemas, V. 2013. Airborne remote sensing of coastal features and processes: An overview. Journal of Coastal Research 29:239–255, https://doi.org/10.2112/JCOASTRES-D-12-00107.1.

Kneib, R.T. 1987. Predation risk and use of intertidal habitats by young fishes and shrimp. Ecology 68:379–386, https://doi.org/​10.2307/1939269.

Lee, S., and B.R. Silliman. 2006. Competitive displacement of a marsh detritivore. Journal of Experimental Marine Biology and Ecology 339:75–85, https://doi.org/10.1016/​j.jembe.2006.07.012.

Lin, J. 1989. Influence of location in a salt marsh on survivorship of ribbed mussels. Marine Ecology Progress Series 56:105–110.

Lynes, A.-R.A. 2008. Centrifugal organization in a Georgia salt marsh plant community. MS Thesis, University of Houston, TX.

McKay, P., and D. Di Iorio. 2010. Cycle of vertical and horizontal mixing in a shallow tidal creek. Journal of Geophysical Research 115, C01004, https://doi.org/10.1029/2008JC005204.

Mendelssohn, I.A., and J.T. Morris. 2000. Eco-physiological controls on the productivity of Spartina alterniflora Loisel. Pp. 59–80 in Concepts and Controversies in Tidal Marsh Ecology. M.O. Weinstein and D.A. Kreeger, eds, Kluwer Academic, Dordrecht, The Netherlands.

Morris, J.T., D. Porter, M. Neet, P.A. Noble, L. Schmidt, L.A. Lapine, and J.R. Jensen. 2005. Integrating LIDAR elevation data, multi-spectral imagery and neural network modeling for marsh characterization. International Journal of Remote Sensing 26:5,221–5,234, https://doi.org/10.1080/01431160500219018.

Nomann, B.E., and S.C. Pennings. 1998. Fiddler crab-vegetation interactions in hypersaline habitats. Journal of Experimental Marine Biology 255:53–68, https://doi.org/10.1016/S0022-0981(97)00209-8.

Ogburn, M.B., and M. Alber. 2006. An investigation of salt marsh dieback in Georgia using coastal transplants. Estuaries and Coasts 29:54–62, https://doi.org/10.1007/BF02784698.

Pennings, S.C., M. Alber, C.R. Alexander, M. Booth, A. Burd, W.-J. Cai, C. Craft, C.B. DePratter, D. Di Iorio, C. Hopkinson, and others. 2012. South Atlantic tidal wetlands. Pp. 45–61 in Wetland Habitats of North America: Ecology and Conservation Concerns. A. Baldwin and D. Batzer, eds, University of California Press, CA.

Pennings, S.C., and M.D. Bertness. 2001. Salt marsh communities. Pp. 289–316 in Marine Community Ecology. M.D. Bertness, S.D. Gaines, and M.E. Hay, eds, Sinauer Associates Inc., Sunderland, MA.

Perk, R.L., D.C. Rundquist, G. Dall’Olmo, and A.A. Gitelson. 2009. Airborne hyperspectral remote sensing. Pp. 27–40 in Remote Sensing Methods for Lake Management: A guide for resource managers and decision-makers. J.W. Chipman, L.G. Olmanson, and A.A. Gitelson, eds, North American Lake Management Society, Madison, WI.

Pomeroy, L.R., and R.G. Wiegert. 1981. The Ecology of a Salt Marsh. Ecological Studies Series, vol. 38. Springer-Verlag Inc., New York, NY, 271 pp.

Ragotzkie, R.A., and R.A. Bryson. 1955. Hydrography of the Duplin River, Sapelo Island, Georgia. Bulletin of Marine Science of the Gulf and Caribbean 5:297–314.

Reimold, R.J., J.L. Gallagher, and D.E. Thompson. 1973. Coastal mapping with remote sensors. Pp. 99–112 in Proceedings of the Coastal Mapping Symposium. American Society of Photogrammetry, Washington, DC.

Sapelo Island National Estuarine Research Reserve. 2008. Sapelo Island National Estuarine Research Reserve Management Plan 2008–2013. Georgia Department of Natural Resources, Sapelo Island, GA, 201 pp.

Schalles, J.F., and C.M. Hladik. 2012. Mapping phytoplankton chlorophyll in turbid, case 2 estuarine and coastal waters. Israel Journal of Plant Science (Special Issue on VIS & IR Spectroscopy in Plant Science) 60:169–192, https://doi.org/​10.1560/IJPS.60.1-2.169.

Silliman, B.R., and M.D. Bertness. 2002. A trophic cascade regulates salt marsh primary production. Proceedings of the National Academy of Sciences of the United States of America 99:10,500–10,505, https://doi.org/​10.1073/pnas.162366599.

Smith, J.M., and R.W. Frey. 1985. Biodeposition by the ribbed mussel Geukensia demissa in a salt marsh, Sapelo Island, Georgia. Journal of Sedimentary Research 55:817–825, https://doi.org/10.1306/212F880F-2B24-11D7-8648000102C1865D.

Teal, J.M. 1958. Distribution of fiddler crabs in Georgia salt marshes. Ecology 39:186–193, https://doi.org/10.2307/1931862

Tucker, C.J., B.N. Holben, J.H. Elgin Jr., and J.E. McMurtrey. 1981. Remote sensing of total dry-matter accumulation in winter wheat. Remote Sensing of Environment 11:171–189, https://doi.org/​10.1016/0034-4257(81)90018-3.

Wiegert, R.G., and B.J. Freeman. 1990. Tidal Salt Marshes of the Southeast Atlantic Coast: A Community Profile. Biological Report 85(7.29). US Department of the Interior, Fish and Wildlife Service, Washington, DC, 70 pp. 

Więski, K., H. Guo, C.B. Craft, and S.C. Pennings. 2010. Ecosystem functions of tidal fresh, brackish and salt marshes on the Georgia coast. Estuaries and Coasts 33:161–169, https://doi.org/10.1007/s12237-009-9230-4.

Wolf, P.L., S.F. Shanholtzer, and R.J. Reimold. 1975. Population estimates of Uca pugnax (Smith, 1870) on the Duplin Estuary Marsh, Georgia, USA (Decapoda Brachyura, Ocypodidae). Crustaceana 29:79–91, https://doi.org/​10.1163/156854075X00081

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