Wetland Groundwater Dependent Ecosystem (GDE) Value
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  Wetland Groundwater Dependent Ecosystem (GDE) Value

dataset: WET_GDE_VALUE
Three datasets were intersected to develop the Wetland GDE Value raster grid: (1) Wetland GDEs (SKM, 2011); (2) RAMSAR wetland sites; (3) Australian Directory of Important Wetlands. Each grid contains the following attibution: Wetland_SKM where 0 = no and 1 = yes RAMSAR where 0 = no and 1 = yes Wetland_Directory where 0 = no and 1 = yes SKM_RAM_DIR which combined the results of the previous three intersection attributes per grid GDE_Value - a textual description of SKM_RAM_DIR
 
Citation proposal Citation proposal
(2013)

Wetland Groundwater Dependent Ecosystem (GDE) Value

Department of Energy, Environment and Climate Action

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/75249fe4-d416-5135-bba1-f2a32af869d0
 
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints
  • Quality

Description

Title
Wetland Groundwater Dependent Ecosystem (GDE) Value 
Alternate title
WET_GDE_VALUE 
Resource Type
Dataset  
Supplemental Information
Related Documents: None For information on the wetland GDE dataset compiled by SKM, see the following report: SKM (2011) Indicative Assessment of Climate Change Vulnerability for Wetlands in Victoria. Prepared for the DSE June 2011. For information on RAMSAR wetland sites, see: http://ramsar.wetlands.org/GISMaps/DownloadGISdatasets/tabid/769/Default.aspx For information on the Australian Directory of Important Wetlands, see: http://www.environment.gov.au/metadataexplorer/download_datasets.jsp?status=success 
Status
Completed  
 
 

Temporal

Time period
2011-08-022012-03-30 
 
 

Spatial

Spatial representation type
Grid  
Code
4283 
Description
General - Victoria 
N
S
E
W


 

 

Maintenance

Maintenance and update frequency
As needed  
 
 

Format

Title
DIGITAL: ESRI Geodatabase (Raster) DIGITAL: JPG2000 3 
 
 

Contacts

  Point of contact

Department of Energy, Environment and Climate Action - Monitoring Waterway   ()  
Level 11, 8 Nicolson St
East Melbourne
Vic
3002
Australia

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Inland waters
  • Biota
  • Geoscientific information
 
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: This dataset is based on theree primary inputs: (1) Wetland GDE Dataset . SKM (2011) developed a dataset of wetlands for Victoria with attribution of the primary water source for each wetland. The first step in the development of this dataset was to generate a wetland location layer. This was derived largely from the existing Victorian statewide wetlands dataset (Wetlands_1994), but also incorporated additional information obtained from CMAs and information regarding alpine wetlands. The second step involved intersecting the statewide dataset of wetland locations with the statewide mapping of potential GDEs (Dresal et al., 2010). This resulted in the attribution of wetlands with a primary water source of groundwater. The final step involved excluding any of the groundwater fed wetlands that resided on floodplain or alluvium geomorphological units. These wetlands were re-attributed with a primary water source of ‘river’ and hence were removed from the groundwater fed wetland layer; (2) RAMSAR Sites .Australian Directory of Important Wetlands ; and (3)Australian Directory of Important Wetlands. The three datasets were intersected to generate the final 100m resolution dataset of wetland GDEs with attribution of national and international value. Dataset Originality: Derived 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Not known. 
Positional Accuracy
Comments
Not known. 
Conceptual Consistency
Comments
Not known. 
Missing Data
Comments
Victoria 
Excess Data
 
 

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