From Western Australia Government

WAMSI Node 4.2.4 - Demersal fish assemblage sampling method comparison and power analyses - Capes

ARCHIVED

Created 13/01/2025

Updated 13/01/2025

In January 2008, stereo-video surveys were conducted in the proposed Capes Marine Park at 3 sites within each of three locations. It appears that the relative composition of the assemblage sampled by baited stereo-video stations and diver operated stereo-video transects differs over a gradient in latitude that is likely to correspond to variation in the trophic composition of fish communities. A cost-benefit analyses showed that baited stereo-video methods were generally more cost-efficient than diver operated stereo-video transects for detecting change in the fish assemblage. This data was used with data from Ningaloo and Abrolhos regions in a larger study that compared the assemblage composition, relative abundance and size of fishes sampled using Baited remote underwater stereo-video (stereo BRUV) and Diver-operated stereo-video systems (stereo DOV).

Files and APIs

Tags

Additional Info

Field Value
Title WAMSI Node 4.2.4 - Demersal fish assemblage sampling method comparison and power analyses - Capes
Language English
Licence Creative Commons Attribution Share-Alike 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/2959ae6b-d1f5-4511-b04f-af2ff2cc54b5
Remote Last Updated 25/05/2022
Contact Point
Department of Planning (Western Australia)
euan.harvey@uwa.edu.au
Reference Period 03/05/2018
Geospatial Coverage {"type": "MultiPolygon", "coordinates": [[[ [115, -33.75], [115, -33.45], [114.9, -33.45], [114.9, -33.75]]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "WAMSI Node 4.2.4 - Demersal fish assemblage sampling method comparison and power analyses - Capes". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/wamsi-node-4-2-4-demersal-fish-assemblage-sampling-method-comparison-and-power-analyses-cap_50b

No duplicate datasets found.