From Tasmania TheList
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Vegetation Significance

Created 12/10/2024

Updated 12/10/2024

JSON RDF ISO19115-3 XML

This dataset is a polygon representation of the significance of the vegetation communities within the coastal strip of the Northern and Southern National Resource Management (NRM) Regions of Tasmania. It has been developed as a management tool and is derived from the Vegetation layer. Each polygon represents a the significance of a single vegetation community based on the conservation status of that community. Vegetation communities were identified to a 1ha resolution or to 0.25ha where a threatened vegetation community was suspected.

This dataset is part of the NRM Coastal Values Project.  The Project maps vegetation, fauna habitat and geomorphology from High Water mark to 100 metres inland for part of the coastline of the Southern and Northern NRM Regions of Tasmania.  The purpose of the coastal values mapping is to provide an easily accessible database on vegetation and geomorphology to support better strategic planning, land use planning and management on the coast.

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Additional Info

Field Value
Title Vegetation Significance
Language English
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/5b89aaa7-a933-4342-8826-260ce87208c2
Contact Point
Reference Period 01/01/2006 - 01/11/2006
Geospatial Coverage {"type": "Polygon", "coordinates": [[[143.5, -44.0], [149.0, -44.0], [149.0, -39.2], [143.5, -39.2], [143.5, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Vegetation Significance". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/vegetation-significance

Original dataset

  • Vegetation Significance

    Land Tasmania

    This dataset is a polygon representation of the significance of the vegetation communities within the coastal strip of the Northern and Southern National Resource Management...

    Dataset updated: 12/10/2024

Dataset copies

No duplicate datasets found.