Full description
This dataset includes riparian vegetation composition and structure data, collected from the lower Fitzroy River, WA (2018). The data accompanies the following research outputs; - Canham, C. A., Beesley, L. S., Gwinnn, D. C., Douglas, M. M., Setterfield, S. A., Freestone, F. L., Pusey, B. J. & Loomes, R. C. (2021). Predicting the occurrence of riparian woody species to inform environmental water policies in an Australian tropical river. Freshwater Biology., 66, 2251– 2263. https://doi.org/10.1111/fwb.13829 - Freestone F. L., Canham C. A., Setterfield S. A., Douglas M. M., Beesley L. S. & Loomes R. C. (2022). Characterising the woody vegetation in contrasting habitat types in the lower Fitzroy River, Western Australia. Australian Journal of Botany 70, 421-431. https://doi.org/10.1071/BT22039 - Freestone F. L., Canham C. A., Setterfield S. A., Douglas M. M. & Loomes R. C. (2021). Characterising vegetation zones along the lower Fitzroy River, Western Australia. University of Western Australia, Perth. https://nesplandscapes.edu.au/publications/characterising-vegetation-zones-along-the-lower-fizroy-river-western-australia-report/ This project is supported through funding from the Australian Government’s National Environmental Science Program through the Northern Australia Environmental Resources Hub. For more information, please contact Samantha Setterfield [email protected]Notes
External OrganisationsBiometric Research; Department of Water and Environmental Regulation (Western Australia)
Associated Persons
Daniel Gwinn (Creator); Robyn Loomes (Creator)
Daniel Gwinn (Creator); Robyn Loomes (Creator)
Created: 2018 to 2018
Issued: 2018
Data time period: 2018 to 2018
Spatial Coverage And Location
text: northern Western Australia
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Other Information
Predicting the occurrence of riparian tree species to inform environmental water planning
url :
http://research-repository.uwa.edu.au/en/publications/a0058fd1-8e39-46e5-b1aa-d21ec4ad0d3d
Conference presentation/ephemera
Identifiers
- DOI : 10.26182/FVXZ-RG05
- global : a3d76f05-e8eb-46a4-9590-b0ebe9f62af2