From Terrestrial Ecosystem Research Network
JSON RDF ISO19115-3 XML

Nullarbor Survey

ARCHIVED

Created 21/01/2025

Updated 21/01/2025

JSON RDF ISO19115-3 XML

This Nullarbor survey sampled the range of vegetation associations systematically for flora and fauna using Standard Biological Survey of South Australia. In the early stages of rangeland condition monitoring in South Australia a number of photopoints were established in various places. Throughout 1956 and 1973 sites that were chosen and sampled focussed on particular plant communities or plant species. PP154 was established on Koonalda Pastoral Lease, in vegetation suited to pastoral production. Since the site was installed, the land has been declared National Park. This site is one where long term trends in vegetation change may be evaluated. Throughout 1972 and 2001 vegetation, mammals and reptiles were surveyed using Standard Biological Survey of SA methods. In 2002, Vegetation mapping of the area occurred. The Nullarbor Survey is part of the Biological Survey of South Australia Program which is a series of systematic surveys conducted across the state between 1971 and the present with the broad aim of providing a baseline inventory of South Australia's flora and fauna biodiversity.

Files and APIs

Tags

Additional Info

Field Value
Title Nullarbor Survey
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/f1545c6f-397a-465b-ba78-8de938c75a3a
Contact Point
Environment Protection Authority (EPA) Victoria
esupport@tern.org.au
Reference Period 02/03/1984 - 11/05/2002
Geospatial Coverage {"type": "Polygon", "coordinates": [[[123.96374, -32.24202], [132.26429, -32.24202], [132.26429, -29.38497], [123.96374, -29.38497], [123.96374, -32.24202]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Nullarbor Survey". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/nullarbor-survey

Original dataset
Dataset copies

No duplicate datasets found.