Past and Future Impacts of Sea Level Rise on Coastal Habitats and Species in the Greater Everglades (FISCHS)Entry ID: USGS_SOFIA_fischs
Abstract: ABSTRACT: This integrated modeling project merges biological and hydrological models to develop tools to help resource management deal with the projected ecological consequences of of rising sea level in coastal south Florida. The project builds on prior USGS research in support of the Comprehensive Everglades Restoration Plan (CERP). To develop a realistic suite of predictive models, we are: (1) ... Enhancing a hydrological model to reliably hindcast multi-decadal observed sea level rise (SLR) phenomena; (2) Developing mechanistic models of coastal vegetation change and evaluating past change as a function of past hydrologic conditions; (3) Incorporating episodic disturbance from hurricanes; (4) Using the hydrologic models to simulate variables for spatially-explicit population and habitat suitability index models; and (5) Developing futurecasting capability under projected climate change, SLR, and restoration scenarios.
Purpose: PURPOSE: This integrated modeling project merges biological and hydrological models to develop tools to help resource management deal with the projected ecological consequences of rising sea level in coastal south Florida. The project builds on prior USGS research in support of the Comprehensive Everglades Restoration Plan.
SUPPLEMENTAL INFORMATION: 1926 through 1940 = Hindcast period; 1998 ... through 2004 = Recent period; 2038 through 2057 = Futurecast period
CURRENTNESS REFERENCE: publication date
SPATIAL REFERENCE INFORMATION - LOCAL
Local Description: Data Type: Shapefile Feature Class
Geometry Type: Polygon
Coordinates have Z values: No
Coordinates have measures: No
Local Georeference Information: Projected Coordinate System: NAD_1983_UTM_Zone_17N
Linear Unit: Meter
Geographic Coordinate System: GCS_North_American_1983
Prime Meridian: Greenwich
NATIVE: The data is stored using multiple formats. ASCI is the file format for the output generated from the hydrological models. The data from the vegetation classification is stored as ArcGIS 10.2 feature classes.
Data Set Citation
Dataset Originator/Creator: Catherine A. Langtimm, Eric D. Swain, M. Dennis Krohn, Donald L. DeAngelis, Thomas J. Smith III, Bradley M. Stith, Ann M. Foster, Jiang Jiang
Dataset Title: Past and Future Impacts of Sea Level Rise on Coastal Habitats and Species in the Greater Everglades (FISCHS)
Dataset Release Date: Unpublished material
Data Presentation Form: Maps and DataOnline Resource: http://sofia.usgs.gov/projects/index.php?project_url=fischs
OCEANS > COASTAL PROCESSES > SEA LEVEL RISE
SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL PROCESSES > SEA LEVEL CHANGE
HUMAN DIMENSIONS > NATURAL HAZARDS > TROPICAL CYCLONES > HURRICANES
OCEANS > COASTAL PROCESSES > MANGROVES
BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > ESTUARY
BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS > ESTUARINE WETLANDS
BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > WETLANDS > ESTUARINE WETLANDS
OCEANS > COASTAL PROCESSES > ESTUARIES
SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > ESTUARIES
Quality LOGICAL CONSISTENCY REPORT: Publication of model and methods are in review for publication. Analyses are planned and will be reported in our publications.
COMPLETENESS REPORT: Publication of model and methods are in review for publication. Analyses are planned and will be reported in our publications.
... LINEAGE/PROCESS STEP:
PROCESS DESCRIPTION: Vegetation data was interpreted from maps and aerial photographs using ArcGIS 10.2.1. The spatial extent was derived using the Bisect model domain. The Bisect feature class grid was placed over the aerial photos and clipped to the extent of the area of interest. Additional attribute columns were added: mangrove, marsh, water, other trees, barren and unknown. Percent area of each vegetation type was determined by visual examination and entered for each unique row/column combination.
Spatial layers for each year were created as a feature class and the attribute table values populated.
* For the 1928 layer a T-sheet produced by the U.S. Coast and Geodetic Survey from 1928 photography was used. The T-sheets can be accessed at http://sofia.usgs.gov/publications/ofr/02-204/
* For the 1940 layer aerial photographs were used. They can be accessed at http://sofia.usgs.gov/exchange/aerial-photos/
* For the 2004 layer aerial photographs were used. They can be accessed at http://data.labins.org/2003/
Not all cells were populated by 1928, 1940 and 2004 images. A second area, where all three sources of information overlapped, was delineated. This reclassification was done to standardized the differences in our ability to detect water. On the 1928 map the area covered by water was delineated by a cartographer and was unambiguous. In the 1940 and 2004 aerial photographs smaller channels, creeks and ponds were visible. Because of these differences in how water was classified, this second area of interest was standardized to the percent area covered by water on the 1928 map.
PROCESS DATE: Unknown
Access Constraints ACCESS CONSTRAINTS: None
DISTRIBUTION LIABILITY: The data have no explicit or implied guarantees.
Use Constraints Cite primary authors and database when using or publishing these data
Data Set Progress
Email: clangtimm at usgs.gov
7920 NW 71st Street
Province or State: Florida
Postal Code: 32653
Role: TECHNICAL CONTACT
Email: hhenkel at usgs.gov
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center 600 Fourth St. South
City: St. Petersburg
Province or State: FL
Postal Code: 33701
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2014-07-30
Last DIF Revision Date: 2016-01-27