A Regional Guidebook for Applying the Hydrogeomorphic Approach to Assessing Wetland Functions of Flats Wetlands in the Everglades

Abstract

The Hydrogeomorphic (HGM) Approach is a method for developing functional indices and the protocols used to apply these indices to the assessment of wetland functions at a site-specific scale. The HGM Approach was initially designed to be used in the context of the Clean Water Act Section 404 Regulatory Program permit review to analyze project alternatives, minimize impacts, assess unavoidable impacts, determine mitigation requirements, and monitor the success of compensatory mitigation. However, a variety of other potential uses have been identified, including the determination of minimal effects under the Food Security Act, design of wetland restoration projects, and management of wetlands. This report uses the HGM Approach to develop a Regional Guidebook to: (a) characterize the Everglades Flats Wetlands in Florida, (b) provide the rationale used to select functions for the marl, rocky, and organic subclasses, (c) provide the rationale need to select model variables and metrics, (d) provide the rationale used to develop assessment models, (e) provide data from reference wetlands and document its use in calibrating model variables and assessment models, and (f) outline the necessary protocols for applying the functional indices to the assessment of wetland functions.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA405650

Entities

People

  • Chris V. Noble
  • Katherine Trott
  • Marti Mcgulre
  • Mary David
  • Rhonde Evans

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Birds
  • Cells
  • Chemistry
  • Environmental Protection
  • Geographic Regions
  • Geography
  • Groundwater
  • Habitats
  • Sea Level Rise
  • United States
  • Vegetables
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Aquatic Ecology
  • Computational Modeling and Simulation
  • Environmental Engineering.