TERN Data Discovery Portal

Description

This dataset consists of images of fauna, flora, fungi or general scenery or events captured at the site on an ad-hoc basis and may provide the researcher with information regarding the species that occupy, frequent or traverse this site.
The Alice Mulga SuperSite was established in 2010 at Pine Hill Cattle Station with research plots located in low open woodland Mulga (Acacia aneura) and non-Acacia, hummock grassland, and river red gum forest. The core 1 ha plot is located in a dense Mulga woodland (cover 70–80%). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/ .
Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras, panoramic landscape and photopoint images.

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
The Alice Mulga SuperSite was established in 2010 in partnership with the University of Technology Sydney.

Temporal coverage

From 10/16/2012

Dates

Creation date

10/16/2012

Publication date

6/16/2021

Revision date

12/16/2024

Citation information

How to cite this collection:

TERN Ecosystem Processes (2021): Alice Mulga Ancillary Images Collection. Version 1.0. Terrestrial Ecosystem Research Network. (Dataset). https://portal.tern.org.au/metadata/TERN/be827593-cabb-4304-8b15-8b4ea38e3fe5

Access data

These data can be accessed from following links:

Access metadata

Point-of-truth metadata URL

Rights and Licensing

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

For use of individual images, please ensure that the source is acknowledged, example: Source: TERN. If the photographer’s name is provided in the file name, please also acknowledge the individual person, example: Source: M Karan, TERN.