JSON RDF ISO19115-3 XML

NSW - CRA/RFA - Forests - Eden - National Estate - Relictual Species

Created 03/09/2018

Updated 03/09/2018

JSON RDF ISO19115-3 XML

National Estate areas of relictual species is a polygon coverage derived using vegetation mapping and a digital elevation model (DEM). Polygons represent areas identified by a workshop of experts as being surrogates for areas rich in relictual or Gondwanic species (ie. species that exhibit taxonomic remoteness and/or phylogenetic primitiveness).

The areas identified are rainforest and isolated mountain tops.

This dataset has been assessed against the following National Estate sub-criterion: A1: Importance in the evolution of Australian flora, fauna, landscapes or climate.

This is an archived dataset jointly owned by the Commonwealth Government and NSW Governments under the NSW Regional Forest Agreements (RFA) Data Agreement of 31 March 2000.This data is available to the public from the Department and may be used by third parties for unrestricted use provided that the copyright interests of the owners are protected.

Any reproduction of this dataset must carry the following statement: Copyright Commonwealth of Australia and New South Wales Government 1997. Departmental Deed

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Additional Info

Field Value
Title NSW - CRA/RFA - Forests - Eden - National Estate - Relictual Species
Language English
Licence Other
Landing Page https://devweb.dga.links.com.au/data/dataset/0441906a-6288-4190-806e-639c2cbddbef
Contact Point
Department of the Environment and Energy
metadata@environment.gov.au
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "NSW - CRA/RFA - Forests - Eden - National Estate - Relictual Species". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/nsw-cra-rfa-forests-eden-national-estate-relictual-species

Original dataset
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No duplicate datasets found.