Title

Forest Ecosystems, South Coast Sub-region VIS_ID 3786

Data Quality Statement

Name: Data Quality Statement

Protocol: WWW:DOWNLOAD-1.0-http--download

Description:

Data quality statement for Forest Ecosystems, South Coast Sub-region VIS_ID 3786

Function: download

Download Package

Name: Download Package

Protocol: WWW:DOWNLOAD-1.0-http--download

Description:

Data (shapefile & GDB feature class) & Documents

Function: download

Code

3765de21-7d26-4b79-881b-d38f36c456b9

Name

ISO 19115

Edition

2016

Type

vector

Geometric Object Type

curve

Geometric Object Count

1

Code identifying the spatial reference system

4283

Topic category

Title

ANZLIC Search Words

Reference date

2008-05-16

Coordinate reference system

Authority code

urn:ogc:def:cs:EPSG::

Code identifying the coordinate reference system

5711

End position

N/A

Contact info

Contact position

Data Broker

Organisation name

NSW Department of Climate Change, Energy, the Environment and Water

Telephone number

131555

Email address

data.broker@environment.nsw.gov.au

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

pointOfContact

Lineage

Extant vegetation was mapped for the South Coast sub-region of the Southern CRA area, using a multi-stepped approach. The pre-1750 vegetation map was compiled using the procedure described below, and then cut with a mask of extant vegetation derived from the Aerial Photograph Interpretation layer (see CRAFTI API project report, DUAP in prep) and the Eastern Bushland Database for two small sections not covered by API mapping. The coverage of existing vegetation was derived by gridding all API codes other than plantations (P and PP), excluded areas (EX), bare ground (A) and exotic forest (CV).Firstly 3740 full floristic vegetation survey sites were classified into vegetation communities using PATN software. Then Aerial Photograph Interpretation polygons were assigned to the PATN classes (note: air photos were flown between 1990 and 1997). Modelling of pre-1750 vegetation on cleared land used the following approach. Twenty Generalised Additive Models (GAMs) identified the environmental envelopes, and mapped areas with high probabilities of occurrence, for all ecosystems with ten sites or more. The soil landscape data layer (Lithology and Soils Project report, DLWC 1999) was used to identify likely pre-1750 vegetation. Expert models were used in a few instances where botanical experts were able to identify the suite of conditions associated with a particular ecosystem, but GAMs were not possible. Order of precedence for the 33 layers incorporated in the map, was based on the opinion of expert botanists and confidence in each model (those with lowest confidence were placed under those of higher confidence).

Limitations on public access

Effective date

2009-01-10

Explanation

The spatial data coverage is complete for the entire set. Each spatial element is attributed. Attribute verification is incomplete.

Effective date

2009-01-10

Explanation

Logical consistency tests were performed on all layers used in the modelling process. These included checking for consistency in origin and geo-referencing between layers. A small number of forest ecosystems were not mapped due either to a lack of data, or the scale of the regional map. These were FES's 26, 30, 31, 33,105,125142, and143.

Explanation

Checked for missing attributes All attributes were checked

Explanation

The derived forest ecosystem type layer is georeferenced. Precision with respect to linear features: 10m to 50m. Positional accuracy estimate determined from comparisons with Landsat imagery, geo-referenced to level 10.

Explanation

The attribute of this dataset is the forest ecosystem type which is defined as any group of tree-dominated stands which possess a general similarity in composition and character. There are approx. 200 forest ecosystem types identified and described across the whole of the CRA Region. A subset of these vegetation types were found in the South Coast sub-region. Spatial units were attributed as described in the Lineage section of this metadata statement. While the experts and field assessors undertook a limited accuracy assessment, it is not possible to give a percentage value of how well the attributes conform to the classification method. A more detailed assessment will be provided in the final project report. Modelled forest ecosystem types were given a reliability code, rated from 1 (high) to 5 (low).

Contact position

Data Broker

Organisation name

NSW Department of Climate Change, Energy, the Environment and Water

Telephone number

131555

Email address

data.broker@environment.nsw.gov.au

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

pointOfContact

Contact position

Data Broker

Organisation name

NSW Department of Climate Change, Energy, the Environment and Water

Telephone number

131555

Email address

data.broker@environment.nsw.gov.au

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

pointOfContact