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Data

Camera Trap Images from Robson Creek Rainforest SuperSite 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 235 times
Accessed 9 times
Dataset Created: 2021-08-25
Dataset Published: 2021-09-20
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPTERN EcoImages REST APIHTTPTERN EcoImages PortalHTTPro-crate-metadata.json
How to cite this collection:
Liddell, M., Bradford, M. & Weigand, N. (2021). Camera Trap Images from Robson Creek Rainforest SuperSite. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/4ddc4013-6aed-441c-bedc-a66545b04bb7 
High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the Robson Creek site. Two camera traps were deployed at the site between 17-03-2018 and 25-07-2018. The first camera located in proximity to the acoustic sensor SM2/SM4 which is around 100m from the flux tower and at a height of 1.5 meter above ground, on a star picket. The second camera located for a short while near the tower (10 meter) and was attached on a bungy cord tied to a tree, at a height of 0.3 meter above ground.

The Robson Creek site lies on the Atherton Tablelands in the wet tropical rain forests of Australia at 680-740 m elevation. It is situated in Danbulla National Park within the Wet Tropics World Heritage Area. The Wet Tropics Bioregion of Australia is situated on the north-eastern coast of Queensland, between Cooktown to the north and Townsville to the south. Approximately 40% (7200 km2) of the region is covered by rain forest. Features of the region include very high plant and animal endemism, characteristics of both Gondwanan and Indo-Malaysian forests, and frequent cyclonic disturbance. The site includes core 1 ha plot (100 m x 100 m) which is located within the fetch of the flux tower and is the focal site of recurrent monitoring, and 25 ha vegetation survey plot. The vegetation survey plot has been set up for inclusion in the Smithsonian Tropical Research Institute’s Center for Tropical Forest Science – Forest Global Earth Observatory (CTFS-ForestGEO) global network of forest research plots.

For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/robson-creek-rainforest-supersite/ .

Other images collected at the site include time-lapse images taken from 3 phenocams (above canopy).


Camera trap results for the TERN FNQ Rainforest SuperSite - Robson Creek, Jan - Feb 2017. 
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. TERN’s Robson Creek Rainforest SuperSite is on the Atherton Tablelands, in Danbulla National Park, within the Wet Tropics World Heritage area. The traditional owners in this area are the Tableland Yidinji People. 
Purpose
Data not provided. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Danbulla National Park, Queensland.
Temporal Coverage
From 2018-03-17 to 2018-07-25 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Animal physiological ecology
Forest biodiversity
GCMD Sciences
AGRICULTURE - ANIMAL ECOLOGY AND BEHAVIOR
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
Horizontal Resolution
Point Resolution
Instruments
Reconyx Hyperfire HC600
Parameters
animal occurrence
Platforms
Robson Creek Rainforest
Temporal Resolution
Annual
Topic
biota
environment
User Defined
camera trap
fnqr_robson
Simple Notophyll Vine Forest (SNVF)
TERN Ecosystem Processes
Author
Liddell, Michael
Co-Author
Bradford, Matt
Weigand, Nico
Contact Point
Liddell, Michael
Publisher
Terrestrial Ecosystem Research Network
Robson Creek Rainforest SuperSite
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.