Data

Threatened Black-Cockatoo monitoring data

The University of Queensland
Dr Berndt Janse Van Rensburg (Aggregated by) Dr Berndt Janse Van Rensburg (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/e295ce7&rft.title=Threatened Black-Cockatoo monitoring data&rft.identifier=10.48610/e295ce7&rft.publisher=The University of Queensland&rft.description=This project aims to develop bioacoustic methods of monitoring breeding in the south-eastern red-tailed black-cockatoo and the glossy black-cockatoo. Breeding success is a key limiting factor in population recovery for these threatened populations. Conservation managers want to target conservation actions to improve breeding outcomes, but currently have little evidence to guide them, due to a lack of monitoring data on breeding success, and how this relates to key habitat variables known to influence breeding (e.g. food supply). These species are difficult to monitor using traditional methods. For breeding to be feasibly monitored in the future, new methods that are accurate, efficient, and have smaller human resource requirements are needed. This project will develop novel bioacoustic methods to monitor breeding in these species. Specifically, our aims are to develop and test bioacoustic methods of monitoring breeding-related vocal behaviours at active nests of threatened black-cockatoos.&rft.creator=Dr Berndt Janse Van Rensburg&rft.creator=Dr Berndt Janse Van Rensburg&rft.date=2018&rft_rights=2022, The University of Queensland&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=breeding behaviours&rft_subject=Environmental Monitoring&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Management&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details

Access:

Restrictions apply

Contact Information

data@library.uq.edu.au

Full description

This project aims to develop bioacoustic methods of monitoring breeding in the south-eastern red-tailed black-cockatoo and the glossy black-cockatoo. Breeding success is a key limiting factor in population recovery for these threatened populations. Conservation managers want to target conservation actions to improve breeding outcomes, but currently have little evidence to guide them, due to a lack of monitoring data on breeding success, and how this relates to key habitat variables known to influence breeding (e.g. food supply). These species are difficult to monitor using traditional methods. For breeding to be feasibly monitored in the future, new methods that are accurate, efficient, and have smaller human resource requirements are needed. This project will develop novel bioacoustic methods to monitor breeding in these species. Specifically, our aims are to develop and test bioacoustic methods of monitoring breeding-related vocal behaviours at active nests of threatened black-cockatoos.

Issued: 2018

Data time period: 2018 to 2018

Data time period: Data collected from: 2018-01-01T00:00:00Z
Data collected to: 2018-01-01T00:00:00Z

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Other Information
Research Data Collections

local : UQ:289097

Research Computing Centre (RCC) Datasets

local : UQ:5d1d4fb

Identifiers