Modelled old-growth boundaires

dataset: MOG2005
This layer contains modelled old-growth forest which has been updated with forest harvesting and fire. The base layer used in western part of the state is og100 which was updated by lastburnt100, lastlog25 and boundaries of the 2006 Grampians fire from ECC. The base layer for the eastern part of the state is mog2003 updated by lastlog25 & lastburnt100. The old-growth forests in the base layers were identified to meet the Victorian definition of old-gwoth forest based on a set of modelling criteria, rules and input datasets. The data is not reliable at scales less than 1:100,000. Old-growth polygons have not been confirmed through field checking and the reliability of modelled old-groth stands have not been assessed.
 
Citation proposal Citation proposal
(2010)

Modelled old-growth boundaires

Department of Environment, Land, Water & Planning
 

Description

Title
Modelled old-growth boundaires 
Alternate title
MOG2005 
Resource Type
Dataset  
Purpose
MOG2005 is used in various forest analysed for forest management planning and policy development.i 
Supplemental Information
Related Documents: None 
Status
Planned  
 
 

Temporal

Begin date
unknown  
End date
unknown  
 
 

Spatial

Spatial representation type
Vector  
Description
General - Victoria 
N
S
E
W


 

 

Maintenance

Maintenance and update frequency
As needed  
 
 

Format

Title
Arc/info digital 1 
 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Biota
 
 

Resource Constraints

Use limitation
Subject to approval of Custodian Subject to approval of Custodian Subject to approval of Custodian 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: Old-growth data layers (og100 for the west of the State and mog2003 for the eastern part of the State) Dataset Originality: Derived 
Description
Collection Method: GIS Modelling & Analysis 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Not Known 
Positional Accuracy
Comments
Not Known 
Conceptual Consistency
Comments
The modelling for old-growth was based on a set of logical rules. Some anomalies may exist. The data is not reliable in scales less than 1:100,000. 
Missing Data
Comments
Covers the entire State 
Excess Data
 
 

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