Title

Native Vegetation Regulation (2013) Native Vegetation Condition (2010) version 2 : 75m resolution 

Alternate title

NVR2013_COND_V2 

Resource Type

Dataset  

Purpose

To contribute to assessments of the significance of native vegetation at different locations, and of the amount of potential loss or gain. 

Credit

Dataset Creators: Graeme Newell, Matt White & the Native Vegetation Review Team 

Supplemental Information

Future Design Issues: None Proposed Related Documents: None 

Status

Obsolete  

Time period

2013-04-012013-09-27 

Spatial representation type

Grid  

Horizontal Accuracy

25m  

Code

4283 

Description

General - Victoria 

N

S

E

W

 

Maintenance and update frequency

As needed  

Title

TIFF format 2 

Topic category

• Biota

Use limitation

General access. Email request to: data.vsdl@dse.vic.gov.au to access this Grid dataset. 

Classification

Limited Distribution  

Statement

Dataset Source: The vegetation condition model is based on generating a frame of reference (benchmarks), generating the current condition by calculating how the observed condition deviates from the benchmark, and modelling the current condition across the landscape. There are two primary data sources are Vegetation plots (50,000+ sites) and Habitat Hectares (20,000+ sites). Dataset Originality: Primary & Derived 

Description

Collection Method: Site based data was collected in the field and through air photo interpretation 

Description

Condition benchmarks for each lifeform in each vegetation type were modelled separately for diversity and cover using data from 40,000 accurately located vegetation plots from known high condition sites, and coincident environmental predictors. Current condition at a site was calculated by comparing the diversity and cover of each lifeform that was observed at each site with the modelled benchmark. An overall score for 'lifeform diversity' and 'lifeform cover' at each site was obtained by aggregating the lifeform proportions. Each proportion was first weighted according to the contribution of each lifeform to the total diversity and total overlapping cover of the benchmark. These aggregate composition (diversity) and structure (cover) scores were then modelled across the state using a wide range of environmental predictors including climate terrain, soils, land use, satellite imagery and other variables that are indicative of human disturbance. A single condition model was built by combining the resultant models for structural and compositional condition using the geometric mean of the two layers at every 75 m pixel. Finally, in order to consider the effect of landscape context, a smoothing routine was run over the data which was weighted by distance from the centre cell. This had the effect of slightly increasing the score of good condition sites surrounded by other good condition sites and slightly reducing the score of bad condition sites surrounded by other bad condition sites. The routine was restricted so that sites at greater than 300 m away had a negligible effect. 

Classification

Unclassified