Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

Sustainability assessment for fishing effects (SAFE) on highly diverse and data-limited fish bycatch in a tropical prawn trawl fishery

Shijie Zhou A B , Shane P. Griffiths A and Margaret Miller A
+ Author Affiliations
- Author Affiliations

A CSIRO Marine and Atmospheric Research, PO Box 120, Cleveland, Qld 4163, Australia.

B Corresponding author. Email: shijie.zhou@csiro.au

Marine and Freshwater Research 60(6) 563-570 https://doi.org/10.1071/MF08207
Submitted: 15 July 2008  Accepted: 11 January 2009   Published: 19 June 2009

Abstract

A new sustainability assessment for fishing effects (SAFE) method was used to assess the biological sustainability of 456 teleost bycatch species in Australia’s Northern Prawn Fishery. This method can quantify the effects of fishing on sustainability for large numbers of species with limited data. The fishing mortality rate of each species based on its spatial distribution (estimated from detection/non-detection data) and the catch rate based on fishery-dependent or fishery-independent data were estimated. The sustainability of each species was assessed by two biological reference points approximated from life-history parameters. The point estimates indicated that only two species (but 21 when uncertainty was included) had estimated fishing mortality rates greater than a fishing mortality rate corresponding to the maximum sustainable yield. These two species also had their upper 95% confidence intervals (but not their point estimates) greater than their minimum unsustainable fishing mortality rates. The fact that large numbers of species are sustainable can be attributed mainly to their wide distributions in unfished areas, low catch rates within fished areas and short life spans (high biological productivity). The present study demonstrates how SAFE may be a cost-effective quantitative assessment method to support ecosystem-based fishery management.

Additional keywords: ecological risk, non-target, quantitative, stock assessment, surplus production.


Acknowledgements

We thank the Northern Territory Museum, Julie Lloyd from the Northern Territory Department of Primary Industries and Fisheries, the Queensland Museum, the Australian Museum and the data custodians of several CSIRO projects, who contributed greatly to the distribution data used in our model. Several colleagues made helpful comments or reviews of drafts of this paper including David Brewer, Don Heales, Alistair Hobday, Petra Kuhnert, Roland Pitcher, Nick Ellis, Cathy Dichmont, Tony Smith, Ilona Stobutzki and Chris Wilcox. We are very grateful to Dr James Scandol for his thorough review of the paper and valuable comments. This work was funded by the Australian Fisheries Research and Development Corporation and the Australian Fisheries Management Authority.


References

Astles, K. L. , Holloway, M. G. , Steffe, A. , Green, M. , and Ganassin, C. , et al. (2006). An ecological method for qualitative risk assessment and its use in the management of fisheries in New South Wales, Australia. Fisheries Research 82, 290–303.
Crossref | GoogleScholarGoogle Scholar | FAO (2003). Fisheries management 2: the ecosystem approach to fisheries. FAO Technical Guidelines for Responsible Fisheries. No. 4, Suppl. 2. Food and Agriculture Organization of the United Nations, Rome.

Fletcher, W. J. , Chesson, J. , Sainsbury, K. J. , Hundloe, T. J. , and Fisher, M. (2005). A flexible and practical framework for reporting on ecologically sustainable development for wild capture fisheries. Fisheries Research 71, 175–183.
Crossref | GoogleScholarGoogle Scholar | Griffiths S., Larson H., and Courtney T. (2004). Trawl bycatch species. In ‘Description of Key Species Groups in the Northern Planning Area’. pp. 291–308. (National Oceans Office: Hobart, Australia.)

Griffiths, S. P. , Brewer, D. T. , Heales, D. S. , Milton, D. M. , and Stobutzki, I. (2006). Validating ecological risk assessments for fisheries: assessing the impacts of turtle excluder devices on elasmobranch bycatch populations in an Australian trawl fishery. Marine and Freshwater Research 57, 395–401.
Crossref | GoogleScholarGoogle Scholar | Hobday A. J., Smith A., Webb H., Daley R., Wayte S., et al. (2006). Ecological risk assessment for the effects of fishing: methodology. Final Report for the Australian Fisheries Management Authority, Project No. R04/1072, Canberra.

Hollowed, A. B. , Bax, N. , Beamish, R. , Collie, J. , and Fogarty, M. , et al. (2000). Are multispecies models an improvement on single-species models for measuring fishing impacts on marine ecosystems? ICES Journal of Marine Science 57, 707–719.
Crossref | GoogleScholarGoogle Scholar | ICES (1988). Report of the working group on methods of fish stock assessments. Cooperative Research Report No. 157. ICES, Copenhagen.

IUCN (International Union for Conservation of Nature) (1994). ‘IUCN red list categories.’ (IUCN Species Survival Commission: Gland.)

Jensen, A. L. (1996). Beverton and Holt life history invariants result from optimal trade-off of reproduction and survival. Canadian Journal of Fisheries and Aquatic Sciences 53, 820–822.
Crossref | GoogleScholarGoogle Scholar | Jones R. (1981). The use of length composition data in fish stock assessments (with notes on VPA and cohort analysis). FAO Fisheries Circular No. 734. Food and Agriculture Organization of the United Nations, Rome.

Larkin, P. A. (1996). Concepts and issues in marine ecosystem management. Reviews in Fish Biology and Fisheries 6, 139–164.
Crossref | GoogleScholarGoogle Scholar | Pitcher C. R., Venables W., Ellis N., McLeod I., Pantus F., et al. (2002). GBR seabed biodiversity mapping project: phase 1. Final Report to CRC-Reef, CSIRO Marine Research, Cleveland.

Plaganyi E. E. (2007). Models for an ecosystem approach to fisheries. FAO Fisheries Technical Paper. No. 477. Food and Agriculture Organization of the United Nations, Rome.

Pope, J. G. , MacDonald, D. S. , Daan, N. , Reynolds, J. D. , and Jennings, S. (2000). Gauging the impact of fishing mortality on non-target species. ICES Journal of Marine Science 57, 689–696.
Crossref | GoogleScholarGoogle Scholar | Quinn T. J., and Deriso R. B. (1999). ‘Quantitative Fish Dynamics.’ (Oxford University Press: New York.)

Sainsbury, K. J. , Punt, A. E. , and Smith, A. D. M. (2000). Design of operational management strategies for achieving fishery ecosystem objectives. ICES Journal of Marine Science 57, 731–741.
Crossref | GoogleScholarGoogle Scholar | Stobutzki I., and Pitcher R. (1999). Assessing the response of bycatch communities to prawn trawling. In ‘Establishing Meaningful Targets for Bycatch Reduction in Australian Fisheries. Australian Society for Fish Biology Workshop Proceedings, Hobart’. (Eds C. D. Buxton and S. E. Eayrs.) pp. 96–105. (Australian Society for Fish Biology: Sydney.)

Stobutzki, I. C. , Miller, M. J. , and Brewer, D. T. (2001a). Sustainability of fishery bycatch: a process for dealing with highly diverse and numerous bycatch. Environmental Conservation 28, 167–181.
Crossref | GoogleScholarGoogle Scholar | Walker T. I. (2005). 13. Management measures. In ‘Management Techniques for Elasmobranch Fisheries. FAO Fisheries Technical Paper 474’. (Eds J. A. Musick and R. Bonfil.) pp. 216–241. (Food and Agriculture Organization of the United Nations: Rome.)

Zhou, S. , and Griffiths, S. P. (2007). Estimating abundance from detection-nondetection data for randomly distributed or aggregated elusive populations. Ecography 30, 537–549.


Zhou, S. , and Griffiths, S. P. (2008). Sustainability Assessment for Fishing Effects (SAFE): an application to elasmobranch bycatch in an Australian trawl fishery. Fisheries Research 91, 56–68.
Crossref | GoogleScholarGoogle Scholar |