Potential Groundwater Dependent Ecosystem (GDE) - Species Tolerance Grid

dataset: GDE_TERR_SPECIES_TOLR
Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to provide a relative measure of sensitivity of those ecosystems to changes in groundwater availability and quality. The output was a species tolerance grid for Victoria. Each GDE map unit has been assigned a species tolerance value based on the median of it's contributing grid cells. Refer to the Potential Terrestrial Groundwater Dependent Ecosystems metadata record for each CMA for a full acount of the data product.
 
Citation proposal Citation proposal
(2021)

Potential Groundwater Dependent Ecosystem (GDE) - Species Tolerance Grid

Department of Environment, Land, Water & Planning
 

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Identifiers and Keywords

ANZLIC Id
ANZVI0803005171 
Jurisdiction
Victoria 
Topic category
  • Inland waters
  • Biota
  • Geoscientific information
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
Creative Commons Attribution 4.0 (CC-BY)
 

Other Dataset Details

Date ( Revision )
2021-07-14
Status
Completed  
Format
DIGITAL: ESRI GRID, ESRI ASCII GRID, JPEG2000 2 
Supplemental Information
Related Documents: None For further information, see: Dresel, P. E., White, M. and Griffioen, P. (2011). Evaluation of Potenital Groundwater Dependent Ecosystems in Victoria - Revision 1. Department of Primary Industries, Bendigo, Vic. 
Maintenance and update frequency
Irregular  
 

Spatial

Spatial representation type
Grid  
Description
General - Victoria 
Reference system identifier
4283

N
S
E
W


 

Temporal

Begin date
2012-06-01 
End date
2012-06-01 
 

Quality

Conceptual Consistency
Not known 
Missing Data
Victoria 
Attribute Quality
Not known 
Positional Accuracy
As accurate as the source data 
 

Lineage

Statement
Dataset Source: Species tolerance attribution has been added using a model developed by Arthur Rylah Institute. For further information see report prepared by Dresel, P. E. et. al. (2011). Dataset Originality: Derived 
 

About the Metadata Record

Metadata identifier
cd77f65d-5199-5b6f-9141-fd189b48a778

Contact  

No information provided.
Resource Type
Dataset  
Date info ( Revision )
2021-07-14
Standard Name
ISO 19115-3:2018 
Profile Name
DELWP Profile 
Profile Version
Version 1 
Profile Date
2019-05-24  
 

Metadata Constraints

Classification
Unclassified  
 
 

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