Dataset
Scavenger assemblages and carrion consumption rates in estuaries of southeast Queensland, Australia
University of the Sunshine Coast
2018
DOI:
https://doi.org/10.4227/39/5af10f130304a
Appears in UniSC Research Data Collection
Abstract
This data was collected to test whether, and how, coastal urbanisation shapes ecological functions in estuaries. It includes data on: (1) rates of carrion consumption, scavenger fish assemblages and environmental variables in southeast Queensland estuaries.
Details
- Title
- Scavenger assemblages and carrion consumption rates in estuaries of southeast Queensland, Australia
- Authors
- Andrew D Olds (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and LawBrooke Frohloff (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and LawBen Gilby (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and LawRod M Connolly (Data Collector) - Griffith UniversityNicholas A Yabsley (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and LawPaul S Maxwell (Data Collector) - Healthy Land and WaterChristopher J Henderson (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and LawThomas Schlacher (Data Collector) - University of the Sunshine Coast - Faculty of Arts, Business and Law
- Format
- MS Excel file; 44.1KB
- Location
- Location: Estuaries of southeast Queensland, Australia
- Publisher
- University of the Sunshine Coast
- Date collected
- Jun-2015–Aug-2015
- Date published
- 2018
- DOI
- 10.4227/39/5af10f130304a
- Copyright note
- Copyright © 2018 University of the Sunshine Coast. This work is licensed under a Creative Commons Attribution 4.0 International License.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99451217102621
- Output Type
- Dataset
- Research Statement
- false
Metrics
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