Native Vegetation Regulation (2013) Native Vegetation Condition version 2A : 75m resolution
dataset:
NVR2013_COND_V2A
Obsolete - replaced by NVR2017_CONDITION.
Site condition aims to reflect three components - composition, structure and function. In practice, condition is measured through the prism of lifeforms, their cover and species diversity. Measuring the condition of native vegetation recognises that most remaining native vegetation in Victoria has been subject to some disturbances, such as historical land use, grazing or weed and pest animal invasion, and is subsequently reduced in condition; vegetation types vary spatially and temporally; circumstances fluctuate (e.g. seasons, natural disturbance events); degradation and rehabilitation occur; and naturalness is valued.
To contribute to assessments of the significance of native vegetation at different locations, and of the amount of potential loss. Version 2A of this data set is used to determine the amount of potential loss for the purposes of the permitted clearing regulations.
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Citation proposal Citation proposal
(2017) Native Vegetation Regulation (2013) Native Vegetation Condition version 2A : 75m resolution Department of Energy, Environment and Climate Action https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/f2f87b6a-5cd9-503b-9ebf-4ac7000c4fff |
- Description
- Temporal
- Spatial
- Maintenance
- Format
- Contacts
- Keywords
- Resource Constraints
- Lineage
- Metadata Constraints
- Quality
Description
- Title
- Native Vegetation Regulation (2013) Native Vegetation Condition version 2A : 75m resolution
- Alternate title
- NVR2013_COND_V2A
- Resource Type
- Dataset
- Purpose
- To contribute to assessments of the significance of native vegetation at different locations, and of the amount of potential loss. Version 2A of this data set is used to determine the amount of potential loss for the purposes of the permitted clearing regulations. This data set has a minimum condition score of 0.20. All values in NVR2013_COND_v2 with values below this score have been assigned a value of 0.20. Continuous grid attributes of 0.20 to 1.00 where 1.00 is the highest condition score and 0.20 is the lowest.
- Credit
- Dataset Creators: Graeme Newell, Matt White & the NaturePrint & Native Vegetation Review Team (Jacqui Smith and Claire Edwards with support from Gordon Forbes)
- Supplemental Information
- Current Design Issues: This data set has a minimum condition score of 0.20. All values in NVR2013_COND_v2 with values below this score have been assigned a value of 0.20. Continuous grid attributes of 0.20 to 1.00 where 1.00 is the highest condition score and 0.20 is the lowest. Future Design Issues: None Proposed Related Documents: None
- Status
- Obsolete
Temporal
- Time period
- 2013-04-012013-09-27
Spatial
- Spatial representation type
- Grid
- Horizontal Accuracy
- 100m
- Code
- 4283
- Description
- General - Victoria
N
S
E
W
Maintenance
- Maintenance and update frequency
- As needed
Format
- Title
- TIFF format 2
Contacts
Point of contact
Department of Energy, Environment and Climate Action
-
VSDL Data Manager
(VSDL Data Manager)
PO Box 500
East Melbourne
Vic
3002
Australia
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
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
- General access. Email request to: data.vsdl@dse.vic.gov.au to access this Grid dataset.
- Classification
- Limited Distribution
Lineage
- 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.
Metadata Constraints
- Classification
- Unclassified
Quality
Attribute Quality
- Comments
- This dataset is a model and as such is an indication of likely native vegetation condition. It would be improved by additional stratified and systematic collection of primary data including species diversity and cover. This data set has a minimum condition score of 0.20. All values in NVR2013_COND_v2 with values below this score have been assigned a value of 0.20. Continuous grid attributes of 0.20 to 1.00 where 1.00 is the highest condition score and 0.20 is the lowest.
Positional Accuracy
- Comments
- 75x75m cells
Conceptual Consistency
Missing Data
- Comments
- Victoria
Excess Data
- Comments
- Continuous grid attributes of 0.20 to 1.00 where 1.00 is the highest condition score and 0.20 is the lowest. This data set has a minimum condition score of 0.20. All values in NVR2013_COND_v2 with values below this score have been assigned a value of 0.20.
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Associated resources
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