Integrating EDEN with Real-Time Hydrology and Biological Responses

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Project Investigators: Pamela Telis, Aaron Higer Project Personnel: Mike Holmes, Heather Henkel Project Start Date: 2005 End Date: 2010 Recent Funding: (FY08) USGS GE PES, USACE RECOVER MAP, (FY06) CERP/MAP Scope of Work Work Plans Annual Report Data Metadata Tools Publications Related Links

Summary

EDEN is a real-time hydrologic tool for assessments by MAP PIs and for adaptive management by decision makers.

Visit the EDEN website at http://sofia.usgs.gov/eden/

This project is intended to support the South Florida Hydrology Monitoring Network module of the Comprehensive Everglades Restoration Plan (CERP) RECOVER Monitoring and Assessment Plan (MAP) and is directly linked to the monitoring and supporting research components identified in that module. The goal of the MAP is develop a single integrated system-wide monitoring assessment plan that will be used and supported by all participating agencies and tribal governments to track and measure system-wide responses to the implementation of CERP. To date, there is no one network that provides real-time stage data across the greater Everglades landscape to guide large-scale field operation, to integrate hydrologic and biologic responses, and to support the MAP assessments by scientists and principal investigators (PIs) across disciplines all of which are founded on the hydrology.

The objectives of this project are:

1. to relate water-level data at real-time stage gages to ungaged areas, and using ground elevation data, compute water depths throughout the greater Everglades.
2. to gain an understanding of microtopography as it relates to vegetation and use vegetation to define water depth differences.
3. to develop a “click-able” web-based GIS map to access real-time water-level data for all gages by RECOVER agencies in the greater Everglades.
4. to develop a dynamic web-based ARC-IMS tool for access to user-specified hydrologic data for study sites, such as computed water depth, hydrograph recession rates, slope and hydroperiod; including other GIS information such as soils, water quality parameters, rainfall, and periphyton densities.

Boundary of Greater Everglades Wetlands within the Influence of CERP (taken from CERP MAP Part 1) with landscape unit delineations. [larger image]

Scope of Work

• 2005 (Revised July 2005)

Work Plans

• 2008

Annual Report

• 2006 (Summary of 2006 Annual Report)
• 2007
• 2008

Data

• Ground Elevation (DEM)
• Hindcasted Data
• Historic Hourly Data (2000-2005) (available for specific stations)
• Rainfall Data
• Real-Time Water Surfaces
• Water Levels (Gage)
• Water Surfaces

Metadata

• Everglades Depth Estimation Network (EDEN) (project metadata)
• Everglades Depth Estimation Network (EDEN) November 2007 Digital Elevation Model for Use with EDENapps (data set metadata)
• Everglades Depth Estimation Network (EDEN) October 2007 Digital Elevation Model (data set metadata)
• Everglades Depth Estimation Network (EDEN) Water Surfaces Data (data set metadata)

Tools

• Data Viewer
• xyLocator
• Transect Plotter
• GridtoNetCDF
• NetCDFtoGrid
• Depth&DaysSinceDry

Publications

Abstracts

• Everglades Depth Estimation Network (EDEN) Digital Elevation Model Research and Development (from the GEER Conference, June 2006)
• A User Interface to the Everglades Depth Estimation Network (EDEN) (from the GEER Conference, June 2006)
• Application of a Dynamic Clustering Algorithm to the Water-Level Hydrographs of the EDEN Hydrologic Network (from the GEER Conference, June 2006)
• Application of the Everglades Depth Estimation Network (EDEN) to Monitoring and Restoration (from the GEER Conference, June 2006)
• Estimating Water Depths at Ungaged Locations in the Florida Everglades Using Artificial Neural Networks (from the GEER Conference, June 2006)
• Surfacing Daily Everglades Water Depths for the Everglades Depth Estimation Network (from the GEER Conference, June 2006)
• The Everglades Depth Estimation Network in Support of Ecological and Biological Assessments (from the GEER Conference, June 2006)
• Using Artificial Neural Network Models to Integrate Hydrologic and Ecological Studies of the Snail Kite Falcon in the Everglades, USA (from the GEER Conference, June 2006)

Circulars

• Spatially Continuous Interpolation of Water Stage and Water Depths Using the Everglades Depth Estimation Network (EDEN) (Institute of Food and Agricultural Sciences, University of Florida CIR1521)

Fact Sheets

• The Everglades Depth Estimation Network (EDEN) for Support of Ecological and Biological Assessments (USGS Fact Sheet 2006-3087)

Open File Reports

• Conceptual design of the Everglades Depth Estimation Network (EDEN) grid (USGS Open File Report 2007-1200)
• Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000–2006 (USGS Open File 2007-1350)
• Initial Everglades Depth Estimation Network (EDEN) digital elevation model research and development (USGS Open File Report 2007-1034)

Related Links

• Hydrology Monitoring Network: Data Mining and Modeling to Separate Human and Natural Hydrologic Dynamics (SOFIA project)
• South Florida Landscape Dynamics
• Everglades Depth Estimation Network (EDEN) for Support of Biological and Ecological Assessments
• Evapotranspiration and Rainfall Data for EDEN Gages