From Australian Oceans Data Network

Pelagic fish food web linkages

Created 13/03/2025

Updated 13/03/2025

This data was collected to primarily provide preliminary information on the diets of ten pelagic fish species common to the Northern Prawn Fishery, specifically to investigate any effects of prawn predation by pelagic fish. After the project was initiated the scope of the study was broadened to investigate the age, growth (by otoliths) and reproductive dynamics (by GSI and histology) of these species. Tissue samples from at about 100 specimens representing each species were also taken and stored in DMSO solution and is available for any researcher wishing to undertake a genetic stock structure study. This study was solely funded by CMR as a pilot study. As a result of limited funds, fish specimens were collected opportunistically from recreational fisher donations, commercial catches and from bycatch samples from scientific cruises. As a result, the capture location of the majority of specimens does not have a lat/long, and is generally only identified by the general area of capture (i.e. 'Weipa' or 'Gladstone'). The method of capture was recorded to the best of our knowledge (i.e. hook and line, gillnet etc), although actual gear specifications and shot information were generally not available.

Files and APIs

Tags

Additional Info

Field Value
Title Pelagic fish food web linkages
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/ed722730-5d18-46fe-ae89-decd6da184ee
Contact Point
CSIRO Oceans & Atmosphere
shane.griffiths@csiro.au
Reference Period 21/05/2013
Geospatial Coverage {"type": "Polygon", "coordinates": [[[140.6, -28.2], [153.7, -28.2], [153.7, -12.4], [140.6, -12.4], [140.6, -28.2]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Pelagic fish food web linkages". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/pelagic-fish-food-web-linkages

No duplicate datasets found.