2016 SoE Biodiversity Eastern Australian Waterbird Survey results (1983 to 2015)

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Created 23/08/2016

Updated 12/03/2025

Data from the Eastern Australian Waterbird & Wetland Survey, 1983 to 2015 - specifically, (1) the number of waterbirds; (2) waterbird breeding abundance (i.e. the count of breeding birds); (3) breeding species richness.

The annual Eastern Australian Waterbird Survey is one of the largest wildlife surveys in Australia. It surveys major wetland sites in the Murray–Darling Basin, and provides invaluable information on the ecosystem health of wetlands and rivers. The survey provides baseline information with which to assess changes in, and impacts on, eastern Australian wetlands and rivers. The survey includes etuaries, coastal lakes, rivers, swamps, floodplains and saline lakes, as well as dams, reservoirs and impoundments.

For more information see: https://www.ecosystem.unsw.edu.au/content/rivers-and-wetlands/waterbirds/eastern-australian-waterbird-survey

This data was used by the Department of Environment and Energy to produce Figure BIO25 in the Biodiversity theme of Australia State of the Environment 2016, available at https://soe.environment.gov.au/theme/biodiversity/topic/2016/freshwater-species-and-ecosystems#biodiversity-figure-BIO25

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Additional Info

Field Value
Title 2016 SoE Biodiversity Eastern Australian Waterbird Survey results (1983 to 2015)
Language English
Licence Creative Commons Attribution 4.0 International
Landing Page https://devweb.dga.links.com.au/data/dataset/dcaed77e-e467-489f-9639-57c8ce388532
Contact Point
State of the Environment
ecosystem@unsw.edu.au
Reference Period 01/07/1983 - 01/07/2015
Geospatial Coverage SA0003560: Australia
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "2016 SoE Biodiversity Eastern Australian Waterbird Survey results (1983 to 2015)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/eastern-australian-waterbird-survey-results-1983-to-2014

No duplicate datasets found.