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Virginia Coast Reserve Long-Term Ecological Research

Virginia Coast Reserve Long-Term Ecological Research

Ecological Research on a High-Speed Landscape: Developing a predictive understanding of how long-term change and short-term disturbance control the dynamic nature of coastal barrier landscapes.

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      • Bottom Dwellers
      • Dynamic Landscapes
      • Land Cover Distribution
      • Marsh Erosion
      • Marshes and Sea-level Rise
      • Mobile Mammals
      • Predicting Change
      • Seagrass Restoration
      • Shoreline Change
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      • Seagrass Model
      • Wetland3P Model
      • Delft3D Coastal Hydrodynamic Model and SWAN Wave Model
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    • Proposals, Reports & other documents
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Documents

Documents from the VCR LTER including Proposals, Annual Reports, Student Theses and Dissertations

Proposals & Reports

 

    • VCR/LTER Proposal 2018 (PDF file)
    • VCR/LTER Proposal 2012(PDF file)
    • VCR/LTER Proposal 2006 (PDF file)
    • VCR/LTER Proposal 2000 (PDF file)
    • Older VCR/LTER Proposals
    • VCR/LTER Annual Reports to NSF
Research Summaries

 

    • Student Theses and Dissertations
    • Presentations by LTER Scientists
    • Research Summaries 1994-1998
    • Ecoinformatics Documents
Other Electronic Documents

 

    • Full-text External Research Reports 
    • LTER Regionalization documents (1997)
    • Newsletters
    • Climate Ecosystem Dynamics 1992-1996
    • Climate Ecosystem Dynamics 2013-2016 via the Internet Archive
    • Biota of the Virginia Barrier Islands, 1990 Va. J. Sci.
Diversity Plans

 

    • Virginia Coast Reserve LTER Site Diversity Plan
History

 

    • Robert E. Lee visit to Smith Island – 1832
    • Wreck of the Esk on Parramore Island
    • The Countryside Transformed:
      The Railroad and the Eastern Shore of Virginia 1870 – 1935 – electronic document archive
    • Archaeological Survey of the Atlantic Coast Shorelines Associated with Accomack County and Northampton County, Virginia

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About This Site

This site is a member of the LTER Network. This material is based upon work supported by the National Science Foundation under Grant No. 1832221. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).

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