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RESEARCH ARTICLE
Contents Vol 33(2)

Vessel-related mortality of sea turtles in Queensland, Australia

Julia Hazel A B and Emma Gyuris A
+ Author Affiliations
- Author Affiliations

A School of Tropical Environment Studies and Geography, James Cook University, Townsville, Qld 4811, Australia.

B Corresponding author. Email: julia.hazel@jcu.edu.au

Wildlife Research 33(2) 149-154 https://doi.org/10.1071/WR04097
Submitted: 20 October 2004  Accepted: 21 January 2006   Published: 12 April 2006

Abstract

Identification of threats is a standard component of conservation planning and the ability to rank threats may improve the allocation of scarce resources in threat-mitigation programs. For vulnerable and endangered sea turtles in Australia, vessel strike is recognised as an important threat but its severity relative to other threats remains speculative. Documented evidence for this problem is available only in stranding records collected by the Queensland Environment Protection Authority. With the authority’s support we assessed the scope and quality of the data and analysed vessel-related records. We found adequate evidence that during the period 1999–2002 at least 65 turtles were killed annually as a result of collisions with vessels on the Queensland east coast. This level of mortality appears broadly comparable to that recorded in the Queensland East Coast Trawl Fishery before the introduction of mandatory turtle-exclusion devices in that fishery. Green turtles (Chelonia mydas) comprised the majority of vessel-related records, followed by loggerhead turtles (Caretta caretta), and 72% of cases concerned adult or subadult turtles. The majority of vessel-related records came from the greater Moreton Bay area, followed by Hervey Bay and Cleveland Bay. The waters of all three areas are subject to variable levels of commercial and recreational vessel traffic, and their shores are both populated and unpopulated.


Acknowledgments

We thank the Queensland Environmental Protection Agency for providing a copy of their stranding database records for analysis and thank Dr Colin Limpus for facilitating this process. We thank two anonymous reviewers for helpful comments on an earlier version of this paper.


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