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Delineation of Coastal Marsh Types Along the Central Texas Coast

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Abstract

Tidally influenced wetlands along the Texas coast provide important habitat for wintering waterfowl and myriad other fish and wildlife species. Because habitat values may differ among marsh salinity zones (e.g., waterfowl food resources and use are greatest in fresh and intermediate marsh), the spatial distribution of marsh types is important for understanding the capacity of coastal landscapes to support waterfowl and other wildlife populations and informing coastal restoration priorities. Additionally, documenting spatial patterns of coastal marsh types is necessary for projecting future landscape change and examining impacts of environmental processes (e.g., tropical storms, sea level rise). We used a helicopter-based vegetation survey and remotely sensed imagery to delineate marsh types along the central Texas coast into four categories: fresh, intermediate, brackish, and saline. We recorded vegetation composition at 342 sample points and combined these data with Landsat Thematic Mapper imagery to perform a supervised classification of marsh types throughout our 122,995 ha survey area. Our initial coarse classification delineating coastal marsh from other habitat types was 92 % accurate. Intermediate, brackish, and saline marsh each comprised about 30 % of the coastal marsh in our study area. Freshwater marsh comprised <1 % and may have been underrepresented within the coastal zone due to placement of the inland boundary of our study area. Our final classification of marsh types was 77.2 % accurate which will provide a framework for further delineation efforts. We offer several considerations for future coastal marsh delineation efforts along the Texas coast.

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References

  • Breininger DR, Smith RB (1990) Waterbird use of coastal impoundments and management implications in east-central Florida. Wetlands 10:223–241

    Article  Google Scholar 

  • Chabreck RH (1970) Marsh zones and vegetative types of the Louisiana coastal marshes. Dissertation, Louisiana State University

  • Chabreck RH, Joanen T, Paulus SL (1989) Southern coastal marshes and lakes. In: Smith LM, Pederson RL, Kaminski RM (eds) Habitat management for migrating and wintering waterfowl in North America. Texas Tech University, Lubbock, pp 249–280

    Google Scholar 

  • Chen M, Xie P, Janowiak JE, Arkin PA (2002) Global land precipitation: a 50-yr monthly analysis based on gauge observations. Journal of Hydrometeorology 3:249–266

    Article  Google Scholar 

  • Clark RN, Swayze GA (1995) Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice and snow, and other materials: The USGS Tricorder Algorithm. Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, January 23–26, R.O. Green, Ed., JPL Publication 95–1:39–40

  • Clark RN, Swayze GA, Livo KE, Kokaly RF, Sutley SJ, Dalton JB, McDougal RR, Gent CA (2003) Imaging spectroscopy: earth and planetary remote sensing with the USGS tetracorder and expert systems. Journal of Geophysical Research 18:5131

    Article  Google Scholar 

  • Congalton RG (1988) A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data. Photogrammetric Engineering and Remote Sensing 54:593–600

    Google Scholar 

  • Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35–46

    Article  Google Scholar 

  • Cowardin LM, Carter V, LaRoe ET (1979) Classification of wetlands and deepwater habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C., USA

  • Dahl TE (1990) Wetland losses in the United States 1780’s to 1980’s. U.S. Fish and Wildlife Service, Washington, D.C., USA

  • Dale MB (1995) Evaluating classification strategies. Journal of Vegetation Science 6:437–440

    Article  Google Scholar 

  • Earth Resources Data Analysis System (ERDAS) (2011) ERDAS Imagine. Version 2011. ERDAS, Atlanta, Georgia, USA

  • Erwin M (1996) Dependence of waterbirds and shorebirds on shallow-water habitats in the Mid-Atlantic coastal region: an ecological profile and management recommendation. Estuaries 19:213–219

    Article  Google Scholar 

  • ESRI (2011) ArcGIS desktop: release 10. Environmental Systems Research Institute, Redlands

    Google Scholar 

  • Esslinger CG, Wilson BC (2001) North American waterfowl management plan, Gulf Coast Joint Venture: Chenier Plain Initiative, Albuquerque, New Mexico, USA

  • Foody GM (1994) Fuzzy modeling of vegetation from remotely sensed imagery. Ecological Modelling 85:3–12

    Article  Google Scholar 

  • Foody GM (1995) Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data. Remote Sensing 17:1317–1340

    Article  Google Scholar 

  • Griffith G, Bryce C, Omernik J, Rogers A (2007) Ecoregions of Texas. Unpublished project report AS-199 to the Texas Commission on Environmental Quality, Austin Texas, USA

  • Hill MO (1979) Twinspan – A FORTRAN program for arranging multivariate data in an ordered two-way table by classification of the individuals and attributes. Cornell University Press, Ithaca

    Google Scholar 

  • Hobaugh WC, Stutzenbaker CD, Flickinger EL (1989) The rice prairies. In: Smith LM, Pederson RL, Kaminski RM (eds) Habitat management for migrating and wintering waterfowl in North America. Texas Tech University Press, Lubbock, pp 367–383

    Google Scholar 

  • Jensen JR (2007) Remote Sensing of the Environment: an Earth Resource Perspective. Prentice Hall, Inc., Upper Saddle River

    Google Scholar 

  • Kumar A, Ghosh SK, Dadhwal VK (2007) Full fuzzy land cover mapping using remote sensing data based on fuzzy c-means and density estimation. Remote Sensing 33:81–87

    Google Scholar 

  • Moorhead KK, Brinson MM (1995) Response of Wetlands to rising sea level in the lower coastal plain of North Carolina. Ecological Applications 5:261–271

    Article  Google Scholar 

  • Moulton DW, Dahl TE, Dall DM (1997) Texas Coastal Wetlands; Status and Trends, mid-1950’s to early 1990’s. U.S. Deptartment of the Interior, Fish and wildlife Service, Alburquerque

    Google Scholar 

  • Rahmstorf S (2007) A semi-empirical approach to projecting future Sea-level rise. Science 315:368–370

    Article  CAS  PubMed  Google Scholar 

  • Rosso PH, Ustin SL, Hastings A (2005) Use of lidar to study changes associated with Spartina invasion in San Francisco Bay marshes. Remote Sensing of Environment 100:295–306

    Article  Google Scholar 

  • Sasser CE, Visser JM, et al (2008) Vegetation types in coastal Louisiana in 2007: U.S. Geological Survey Open-File Report 2008–1224, 1 sheet, scale 1:550,000

  • Stutzenbaker CD, Weller MW (1989) The Texas Coast. In Habitat Management for Migrating and Wintering Waterfowl in North America. Texas Tech University Press, Lubbock, Texas, USA

  • Visser JM, Sasser CE, Charbreck RH, Linscombe RG (1998) Marsh vegetation types of the Mississippi River Deltaic Plain. Estuaries 21:818–828

    Article  Google Scholar 

  • Visser JM, Sasser CE, Charbreck RH, Linscombe RG (2000) Marsh vegetation types of the Chenier plain, Louisiana, USA. Estuaries 23:318–327

    Article  Google Scholar 

  • Visser JM, Duke-Sylvester SM, Carter J, Broussard, WP, III (2013) Lavegmod a computer model to forcast wetland vegetation changes resulting from coastal restoration and protection in coastal Louisiana. Journal of Coastal Research 67:51–59

  • Yuan FM, Bauer E, Heinert NJ, Holden GR (2005) Multi-level land cover mapping of the Twin Cities (Minnesota) metropolitan area with multi-seasonal Landsat TM/ETM + data. Remote Sensing of the Environment 98:217–328

    Article  Google Scholar 

  • Zwank PJ, McKenzie PM, Moser EB (1989) Mottled duck habitat use and density indices in agricultural lands. The Journal of Wildlife Management 53:110–114

    Article  Google Scholar 

Download references

Acknowledgments

Funding was provided by the Gulf Coast Joint Venture and the Jess Y. Womack II Fellowship in Wetlands and Wetland Bird Research. We thank L. Brennan and D. Hewitt for comments that improved this manuscript. This is manuscript #13-120 of the Caesar Kleberg Wildlife Research Institute.

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Correspondence to Bart M. Ballard.

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Mitchell, M.K., Ballard, B.M., Visser, J.M. et al. Delineation of Coastal Marsh Types Along the Central Texas Coast. Wetlands 34, 653–660 (2014). https://doi.org/10.1007/s13157-014-0531-4

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  • DOI: https://doi.org/10.1007/s13157-014-0531-4

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