Title

CEEC: Monaro and Werriwa Tablelands Cool Temperate Grassy Woodlands v1.4

Data Quality Statement

Name: Data Quality Statement

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

Description:

Data quality statement for CEEC: Monaro and Werriwa Tablelands Cool Temperate Grassy Woodlands v1.4

Function: download

Metadata Summary CEEC Monaro Werriwa v1.4

Name: Metadata Summary CEEC Monaro Werriwa v1.4

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

Description:

Provides a written metadata summary that includes lineage and validation information

Function: download

Technical Notes CEEC Werriwa and Monaro v1.4

Name: Technical Notes CEEC Werriwa and Monaro v1.4

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

Description:

Full technical notes on product lineage and validation

Function: download

Monaro Werriwa CEEC v1.4 Data

Name: Monaro Werriwa CEEC v1.4 Data

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

Description:

The Monaro Werriwa CEEC v1.4 map is provided as a feature class in an ArcGIS 10.4 file geodatabase. An mxd is also included for candidate symbol.

Function: download

Code

83f9f041-cbe5-4244-99c7-36396b241763

Name

ISO 19115

Edition

2016

Type

vector

Geometric Object Type

composite

Geometric Object Count

1

Code identifying the spatial reference system

4283

Topic category

Title

ANZLIC Search Words

Reference date

2008-05-16

NSW Place Name

Monaro and Werriwa Tablelands

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

1. Community classification determination Determination established by the NSW Threatened Species Scientific Committee under the biodiversity Conservation Act 2016. A copy of these Determinations are available here: https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/Animals-and-plants/Scientific-Committee/Determinations/2019/werriwa-tableland-final-determination-CEEC.pdf?la=en&hash=92C6D495486B7F36D0F15C133F93E8B5DE5141E8

Or by contacting the NSW Threatened Species Scientific Committee, PO Box 1967 Hurstville BC 1481. Tel: (02) 9585 6940 or Fax (02) 9585 6606, or in person at the Office of Environment and Heritage Information Centre, Level 14, 59-61 Goulburn Street, Sydney. Copies of the determination may also be obtained from National Parks and Wildlife Service Area Offices and Visitor Centres, subject to availability.

1. Plot Assignment Over 10 000 floristic sites were assessed for allocation to the CEEC. Each site was represented by full floristic vegetation plot that forms part of the OEH Vegetation Information System (VIS) database. All sites were assigned a Plant Community Type (PCT) as part of the new East Coast Vegetation Classification (ECVC). Monaro is represented by the RCP group R4.42E (Monaro -Central-Tablelands frost hollow grassy woodland), which is historically linked to SCIVI Vegetation Types m31/p220 and UMC types m31/u118). Conversely, the Werriwa is represented by the RCP group R4.141 (Werriwa frost-hollow grassy woodland) which is linked to the SCIVI Vegetation Type p24. As part of the development of the ECVC, the floristic data of individual sites were checked and vetted, and sites strongly influenced by disturbance removed. Additional sites that are assumed to represent the CEEC’s were also added. These sites came from surveys conducted by OEH threatened species ecologists and other experts that were not included in the ECVC. They include most, but not all sites identified by the Scientific Committee as representative of the TEC .
2. CEEC presence modelling A presence-absence (PA) distribution modelling approach was used to create an initial indicative (potential) distribution map of the CEEC’s. A total of 84 sites were included in the models as presence sites for Monaro and 59 for Werriwa (Fig 1). While these sets contain an adequate spread of sites over the presumed range of the TECs, the models are strongly influenced by the number of absence sites ascribed to PCTs that are not related to R4.42E and R4.141. The modelling methodology is described in detail in OEH (2016). The Random Forest (RF) technique was used to predict the potential extent of the communities in terms of their probability of occurrence across the South Eastern Highlands and South East Corner Bioregions. All models were run with 10-fold cross validation, using held-out data to calculate performance measures which are used to select optimum model parameters and final model fit. Statistics were derived from a confusion matrix, calculating overall accuracy, user and producer accuracies and standard deviations. Response curves for each predictor to determine if the effect of the variable on the response makes ecological sense reran multiple iterations of models to look at the effects of sequentially removing predictors in an attempt to generate a more parsimonious model. The models show a continuous probability of occurrence surface which varies between 0 and 1. A sensitivity = specificity threshold, which balances the risk of making commission and omission errors, was used to determine the area of the core candidate CEEC. This was subject of further investigation by API. The sensitivity = specificity threshold is 0.4 for the Combined model, 0.48 for the Monaro-only model and 0.33 for the Werriwa only model.
3. Pattern derivation The binary core modelled extent was pulled into a net of existing vegetation linework for finer scale manual interrogation and attribution. A multi-resolution segmentation algorithm was used to create image objects with low internal variation. Image objects represent patches of vegetation that can later be classified based on attributes such as crown cover, spectral response, or soil type. The segmentation parameters and scale were derived iteratively based on visual inspection. Vegetation recognised in high spatial resolution imagery (ADS40 – 50cm) were used as a reference point. This process provided the line work for subsequent PCT attribution.
4. Fine scale mapping and Aerial Photo Interpretation High resolution expert aerial photographic interpretation (API) was then used to assess CEEC spatial presence within the core extent. Some locally adjacent areas where the community was found to occur were also included. This process referenced 50cm 3-D ADS40/80 imagery. Polygon attribution utilised two software packages, ArcGIS Dektop 10.7 and DAT/EM Summit Evolution – Lite Edition (a photogrammetric package enabling 3D stereo viewing of ADS40 imagery).
5. Extension of CEEC presence to adjacent candidate native grasslands After rigorous 3-D API, the spatial extent of the CEEC was extended by default into adjacent candidate native grassland as attributed by2-D 50cm ads imagery. This extension was constrained by lot boundaries. Please the technical notes for further details on the manual stage decision logic.

Limitations on public access

Effective date

2019-06-30

Explanation

Nil.

Effective date

2019-06-30

Explanation

Nil

Effective date

2019-06-30

Explanation

Nil

Effective date

2019-06-30

Explanation

Nil

Effective date

2019-06-30

Explanation

50cm

Effective date

2019-06-30

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