Terrestrial Groundwater Dependent Ecosystem (GDE) Density and Biodiversity Value
Anzlic ID:
ANZVI0803004938
Custodian:
Abstract:
This dataset is based on two primary inputs: (1) the Potential Terrestrial Groundwater Dependent Ecosystem (GDE) mapping undertaken by Dresel et al. (2010). See separate metadata record for GDE_TERR_DENSITY, and: (2) Natureprint V2.0 (DSE, 2011). NPv2 is a ranked surface of biodiversity values across Victoria implemented within the reserve design and spatial conservation prioritisation software package 'Zonation'. NPv2 attempts to efficiently rank places within Victoria in terms of their capacity to support multiple conservation assets while considering complementarity, landscape context and ecosystem integrity. NPv2 ranks birodiversity value on the following scale:
0 - Low Biodiversity Value --> 7 - High Biodiversity Value. Values of 55 & 66 relate to artificial impoundment and wetland habitat and were considere to equal 0 for the purpose of ranking terrestrial biodiversity value.
Search Words:
Inland waters
,
Biota
,
Geoscientific information
Publication Date:
Dataset Status:
Victoria
Progress:
Completed
Access Constraint:
Creative Commons Attribution 4.0 (CC-BY)
(
License Text
)
General
Data Existence:
Metadata Name
Descriptions
Resource Name:
GDE_TERR_DENSITY_BIOD
Title:
Terrestrial Groundwater Dependent Ecosystem (GDE) Density and Biodiversity Value
Anzlic ID:
ANZVI0803004938
Custodian:
Owner:
Jurisdiction:
Victoria
Abstract:
This dataset is based on two primary inputs: (1) the Potential Terrestrial Groundwater Dependent Ecosystem (GDE) mapping undertaken by Dresel et al. (2010). See separate metadata record for GDE_TERR_DENSITY, and: (2) Natureprint V2.0 (DSE, 2011). NPv2 is a ranked surface of biodiversity values across Victoria implemented within the reserve design and spatial conservation prioritisation software package 'Zonation'. NPv2 attempts to efficiently rank places within Victoria in terms of their capacity to support multiple conservation assets while considering complementarity, landscape context and ecosystem integrity. NPv2 ranks birodiversity value on the following scale:
0 - Low Biodiversity Value --> 7 - High Biodiversity Value. Values of 55 & 66 relate to artificial impoundment and wetland habitat and were considere to equal 0 for the purpose of ranking terrestrial biodiversity value.
Search Words:
Inland waters
,
Biota
,
Geoscientific information
Purpose:
The GDE density grid was intersected with the Natureprint Biodiversity grid - such that a gridded dataset of density_value was generated (i.e. GDE_Dent_Value).
Geographic Extent Polygon:
Geographic Bounding Box:
-34
141
150
-39
Beginning to Ending Date:
2011-08-02 - 2012-03-30
Maintainence and Update Frequency:
As needed
Stored Data Format:
DIGITAL: ESRI ASCII GRID, JPEG2000 2
Available Format(s) Types:
DIGITAL
Positional Accuracy:
Not known
Attribute Accuracy:
Not known
Logical Consistency:
Not known
Data Source:
Dataset Source: The original GDE dataset was produced by Dresel et al. (2010) in vector format. The vector dataset was converted to a 25m x 25m raster grid by intersecting the grid with the vector dataset and querying for the presence (= 1) or absence (= 0) of a mapped terrestrial GDE. This grid was aggregated up to 100 m x 100 m grid size (i.e. 16 smaller grids were combined to 1 large grid) and the density of terrestrial GDEs within this larger grid was calculated by the number of 25m x 25m grids that recorded the presence of a GDE through the previous step. The minimum density was 0 (i.e. 0 out of 16 smaller grids recorded a GDE within the larger grid) and the maximum density was 16 (i.e. 16 out of 16 smaller grids recorded a GDE within the larger grid).
Density classification was undertaken using a 1km proximity radius. The cells that did not record a GDE were excluded prior to the density classification. The final GDE dataset has been classified as follows:
0 = No Terrestrial GDE
1 = Low Density Terrestrial GDE
2 = Low-Medium Density Terrestrial GDE
3 = Medium Density Terrestrial GDE
4 = High Density Terrestrial GDE
The Natureprint V2 datasets was generated using the following process:
NPv2 works with 168 spatial models of ecosystem types, site records of approximately 800 rare or threatened species, a statewide vegetation condition model and a statewide landscape context model. The Zonation software ranks each 75m x 75m pixel in terms of its importance in solving the central objective of retaining equal representation (in terms of area) of each biodiversity asset (i.e. ecosystem types and rare or threatened species sites) across the state. As lowly ranked cells are removed, Zonation recalculates the statewide priorities. To further mediate the cell ranking process: (1) a coarse aggregation has been employed - cells can only be removed from edges. That is, at each cell removal iteration the sequence is controlled by the interface between already removed and currently retained cells; (2) Site condition (as per DEPI's vegetation condition model) has been used to distinguish otherwise equally ranked sites on the basis of their modelled condition; (3). For regions of the state that do not support native vegetation, landscape context has been used to distinguish otherwise equally ranked sites on the basis of superior context.
To create the final dataset, the GDE density grid was intersected with the Natureprint Biodiversity grid - such that a gridded dataset of density_value was generated.
Dataset Originality: Derived
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