Dataset Identification:
Resource Abstract:
- description: An overall strategy of this project is to conduct integrated research at a number of different locations to address
key questions related to global climate change impacts on the coastal mangrove forests and adjacent marshes. The integrated
elements of the project include hydrology, vegetation and fauna. This project established, runs and maintains the Mangrove
Hydrology Monitoring Network, a series of 17 stations arrayed along upstream downstream gradients in major rivers on the southwest
coast of the Park and in the C-111 basin. The sites are also used for sampling vegetation, and soil elevation changes. Additionally
the project adds a key research element concerning mangrove fauna, that is not present in related projects dealing with the
mangrove dominated coastal zone. The network provides data on water (ground and surface) stage and conductivity that are used
by the TIME and other modeling groups. Water year reports have been prepared and data are available via the TIME website and
Everglades NP "Data for Ever" database. Open File Reports are being generated which provide historical aerial photographs
in digital format. The data generated by this project is being used in models (hydrological and ecological) for gauging restoration
success. The data are also being used in the formulation of Performance Measures. For example, spatial data on the movement
of the mangrove / marsh ecotone (derived from the digital historical aerial photographs) will be used to provide a pre-drainage
baseline of the Everglades ecosystem and metrics of success in restoration.; abstract: An overall strategy of this project
is to conduct integrated research at a number of different locations to address key questions related to global climate change
impacts on the coastal mangrove forests and adjacent marshes. The integrated elements of the project include hydrology, vegetation
and fauna. This project established, runs and maintains the Mangrove Hydrology Monitoring Network, a series of 17 stations
arrayed along upstream downstream gradients in major rivers on the southwest coast of the Park and in the C-111 basin. The
sites are also used for sampling vegetation, and soil elevation changes. Additionally the project adds a key research element
concerning mangrove fauna, that is not present in related projects dealing with the mangrove dominated coastal zone. The network
provides data on water (ground and surface) stage and conductivity that are used by the TIME and other modeling groups. Water
year reports have been prepared and data are available via the TIME website and Everglades NP "Data for Ever" database.
Open File Reports are being generated which provide historical aerial photographs in digital format. The data generated by
this project is being used in models (hydrological and ecological) for gauging restoration success. The data are also being
used in the formulation of Performance Measures. For example, spatial data on the movement of the mangrove / marsh ecotone
(derived from the digital historical aerial photographs) will be used to provide a pre-drainage baseline of the Everglades
ecosystem and metrics of success in restoration.
Citation
- Title Understanding and Predicting Global Climate Change Impacts on the Vegetation and Fauna of Mangrove Forested Wetlands in Florida.
-
- creation Date
2018-05-20T04:15:43.295311
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T22:22:55Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T22:22:55Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
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- Contact information
-
-
- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:3055116d-be8d-4a95-9ee0-df9882f52394
Metadata record format is ISO19139 XML (MD_Metadata)