| Field | Value |
|---|---|
Title |
NSW Koala Likelihood Map v2.0 (August 2019) |
Alternative title(s) |
KLM v2.0 |
Abstract |
The Koala Likelihood Map (KLM) predicts the likelihood of finding a koala relative to other arboreal mammals across a 10-km grid covering NSW. It is built using existing arboreal mammal records from the past 20 years (currently 1999 to 2019) and represents the likelihood of koalas as the proportion of all records within a grid cell that are koalas. The records of other arboreal mammals provide a measure of survey effort independent of koalas and allow identification of areas where other arboreal mammals have been recorded, but not koalas. The map also includes a measure of the confidence in the koala likelihood estimate. This enables deficiencies in the data to be highlighted, and recommendations to be made for areas requiring further survey. The KLM is a useful tool that can be used to inform a range of koala conservation and management issues, however it is not static and should be updated regularly as new data become available. The KLM was first developed in 2014 for use in private native forestry regulation, on behalf of the NSW Environment Protection Authority. An updated and refined version of the map (NSW Koala Baseline Likelihood Map 2016) was produced in 2016 and has been used to inform provisions for koala protection under the Coastal Integrated Forestry Operations Approvals and is planned to inform the future review of the Private Native Forestry Code of Practice. This latest version of the KLM (v2.0 August 2019) includes new data from BioNet and Spot Assessment Technique (SAT) survey databases, as well as SAT data from a targeted state-wide field survey program. The KLM v2.0 (August 2019) is delivered under the NSW Koala Strategy's Koala Habitat Information Base. This comprises several layers of spatial information, including: Koala Habitat Suitability Model (KHSM) – the probability of finding koala habitat at any location; Koala Tree Suitability Index (KTSI) – the probability of finding a tree species that koalas are known to use for food or shelter; Koala Likelihood Map (KLM) including a confidence layer – predicts the likelihood of finding a koala at a location; Areas of Regional Koala Significance (ARKS) – identifies key koala populations and management areas with potential for long-term viability as well as priority threats to key koala populations; Native vegetation of NSW – this is a high-resolution map of native tree cover and water bodies; and all koala sightings recorded in NSW Bionet. All Koala Habitat Information Base (KHIB) datasets are available for download below under 'Dataset Relationship'. |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for NSW Koala Likelihood Map v2.0 (August 2019) Function: download |
Download Package |
Name: Download Package Protocol: WWW:DOWNLOAD-1.0-http--download Description: Shapefile Data (NSW Koala Likelihood Map v2.0 (August 2019)) Function: download |
NSW Koala Baseline Likelihood Map 2016 |
Name: NSW Koala Baseline Likelihood Map 2016 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Link to 2016 version of the NSW Koala Likelihood Map Function: download |
ArcGIS REST Services Directory - NSW Koala Likelihood Map v2.0 (August 2019) |
Name: ArcGIS REST Services Directory - NSW Koala Likelihood Map v2.0 (August 2019) Protocol: WWW:DOWNLOAD-1.0-http--download Description: ArcGIS REST Services Directory – provides a variety of interfaces for web browsers, GIS users and developers, to view maps. Function: download |
WMS - NSW Koala Likelihood Map v2.0 (August 2019) |
Name: WMS - NSW Koala Likelihood Map v2.0 (August 2019) Protocol: WWW:DOWNLOAD-1.0-http--download Description: Web Map Service (WMS) is a standard protocol for serving georeferenced map images over the internet that are generated by a map server using data from a GIS Database (NSW Government - Spatial Web Services Register June 2015). WMS allows a user to spatially visualise the dataset, but not query its features. This service is aimed at advanced geographical information users, and will require access to geographical information system (GIS) software such as QGIS and ArcGIS/ArcMap. Function: download |
Unique resource identifier |
|
Code |
a5fd3a05-b88a-4bd0-a76b-9ce10cd112cd |
Presentation form |
Map digital |
Edition |
2.0 (August 2019) |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://www.planningportal.nsw.gov.au/opendata/dataset/a5fd3a05-b88a-4bd0-a76b-9ce10cd112cd |
Purpose |
To aid with the conservation and management of koalas |
Status |
Required |
Spatial representation |
|
Type |
vector |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
10 km |
Additional information source |
Predavec, M., Lunney, D., Shannon, I., Scotts, D., Turbill, J., and Faulkner, B. (2015). Mapping the likelihood of koalas across New South Wales for use in Private Native Forestry: developing a simple, species distribution model that deals with opportunistic data. Australian Mammalogy 37, 182–193. |
| Field | Value |
|---|---|
Topic category |
environment |
| Field | Value |
|---|---|
Keyword set |
|
keyword value |
ECOLOGY FAUNA-Native |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
NSW Place Name |
State of NSW |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
1999-01-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Unknown |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Full postal address |
NSW Australia data.broker@environment.nsw.gov.au |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Lineage |
The map is built using existing koala records and records of 8 species of other arboreal mammals from approximately the past 20 years (currently January 1999 to August 2019). Records were obtained from NSW BioNet and other independent sources, e.g. Spot Assessment Technique (SAT) survey databases. SAT data resulting from a state-wide field survey program designed to update the map were also included (this data will be made available in BioNet in late 2019). Where SAT datasets were included, the koala absence data (i.e. indicating the survey sites where koalas weren't found) were used in place of other arboreal mammal records as the measure of survey effort. A filtering process was implemented to reduce some of the inherent biases in the BioNet data. These data form the basis of the estimates of the likelihood of finding a koala across NSW and the confidence in the estimates. |
| Field | Value |
|---|---|
Constraint set |
|
Use constraints |
This data is provided under a Creative Commons Attribution 4.0 licence http://creativecommons.org/licenses/by/4.0. Attribute 'NSW Department of Climate Change, Energy, the Environment and Water' in publications using this data. |
Limitations on public access |
|
| Field | Value |
|---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2019-08-12 |
Explanation |
The assessment covers all of NSW. The map includes areas that include no records of koalas or of other arboreal mammals. These grid cells are identified in the map layer (p = 999, Confidence = No Data). The lack of data in these grid cells is noted and incorporated into the final mapping. |
DQ Completeness Omission |
|
Effective date |
2019-08-12 |
Explanation |
The assessment covers all of NSW. The map includes areas that include no records of koalas or of other arboreal mammals. These grid cells are identified in the map layer (p = 999, Confidence = No Data). The lack of data in these grid cells is noted and incorporated into the final mapping. |
DQ Conceptual Consistency |
|
Effective date |
2019-08-12 |
Explanation |
The estimate of the likelihood of koalas for each grid cell should be viewed relative to each other and not as absolute numbers. |
DQ Absolute External Positional Accuracy |
|
Effective date |
2019-08-12 |
Explanation |
Records in NSW BioNet include a spatial accuracy field. Only records with a spatial accuracy less than or equal to 10 kilometre (the size of the spatial grid used in the state-wide assessment) were used in the preparation of the map. |
DQ Non Quantitative Attribute Correctness |
|
Effective date |
2019-08-12 |
Explanation |
The map includes a relative measure of the accuracy of the koala likelihood estimates based on a 95% confidence interval. |
| Field | Value |
|---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Full postal address |
NSW Australia data.broker@environment.nsw.gov.au |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Full postal address |
NSW Australia data.broker@environment.nsw.gov.au |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T13:39:58.562328 |
Metadata language |
|