Victorian Tall Eucalypt Forest Plot Network: Arboreal Marsupial (stag-watch) Data, Central Highlands of Victoria, Australia, 2013–2014
The Victorian Tall Eucalypt Forest Plot Network Arboreal Marsupial Data contains plot-based arboreal marsupial fauna data collected intermittently at a rotating subset of 40 sites taken from the complete pool of 175 permanent plots studied by the plot network in the Central Highlands of Victoria, Australia.
Arboreal marsupials are counted using the stag-watching method (direct counts of nocturnal animals emerging from tree hollows at dusk). Hollow bearing trees or stags located within the 1 ha area are also measured, mapped and monitored over time. Each site is surveyed from dusk for approximately 1 hour. The stag-watching method uses one volunteer/ watcher per tree on site. A site with 30 trees requires 30 people. Animals are recorded as they emerge, noting; species, abundance, time, which tree they emerged from or whether it was just “on site”, whether it came from “off-site”, the type of hollow it emerged from and the tree number. Animals heard in the distance are also noted.
This is part of a much larger dataset that began in1983, when the Victorian Tall Eucalypt Forest Plot Network research plots commenced. A synopsis of related data packages which have been collected as part of the Victorian Tall Eucalypt Forest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/victorian-tall-eucalypt-forest
Simple
Identification info
- Date (Publication)
- 2014-09-03
- Date (Revision)
- 2014-09-03
- Edition
- 33
Publisher
Author
Collaborator
Collaborator
- Keywords (Discipline)
-
- Fauna
- Stagwatch
- Stag-watching
- Mammals
- ANZSRC Fields of Research
- GCMD Science Keywords
Extent
- Description
- Central Highlands of Victoria, Australia
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Temporal extent
- Time period
- 2013-01-01 2014-01-01
Resource constraints
- Use limitation
- The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- Co-authorship with the data provider (Professor David Lindenmayer) of any publication of research utilising this data is an expected outcome. The data provider requests consultation, including a summary of the proposed research and intended use before publication of research utilising this data is possible.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
- Distribution format
-
- OnLine resource
- http://www.ltern.org.au/knb/metacat/ltern2.178/html
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/d2fcb977-c3ba-5b35-b590-f38650eb4d5c
- Title
- TERN GeoNetwork UUID - Long Term Ecological Research Network
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/d2fcb977-c3ba-5b35-b590-f38650eb4d5c
Point of truth URL of this metadata record
- Date info (Creation)
- 2014-09-03T00:00:00
- Date info (Revision)
- 2017-07-11T00:00:00
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
Spatial extent
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