Project number: 2011-239
Project Status:
Completed
Budget expenditure: $58,000.00
Principal Investigator: Rik C. Buckworth
Organisation: CSIRO Oceans and Atmosphere Hobart
Project start/end date: 13 May 2012 - 29 Nov 2012
Contact:
FRDC

Need

Under Commonwealth harvest policy, fisheries are to be managed to maximise economic performance. Most Commonwealth fisheries have/ are developing harvest strategies based on an MEY target and TAC controls. Following Ministerial Direction, the NPF is to adopt an ITQ management system from mid-2012. This transition requires: 1.reliable methods for predicting the total sustainable, available catch; and, 2, understanding of the economics of the fishery, providing for setting total allowable catches (TACs) that maximise value rather than catch. This project addresses these components. Unlike the NPF tiger prawn fishery, the fishery for common banana prawns (CBP), in which annual catches vary dramatically, has not been amenable to assessment and predictive modelling, as recruitment varies markedly with environmental conditions.

Fishermen have known for many years that banana prawns catches depend upon rainfall. Considerable research has explored the ecology behind this e.g. relationships between rainfall and catches of CBP, (Vance et al. 1985), emigration of CBP from estuaries as salinity decreases (Staples 1980, Staples and Vance 1986, Vance et al. 1998), temperature and wind (Vance et al. (2003)) and the effect of fishing effort (Venables and Poloczanska 2006). Venables et al. (2011) explored the feasibility of predicting the fishery-wide potential annual catch for CBP. In a manner suitable for TAC-development, it uses information available before the fishery begins each year. The second component follows the successful incorporation of economic objectives into the harvest strategy for tiger and endeavour prawns (Dichmont et al. 2008) and would redress the lack of suitable techniques for TAC-setting for CBP, as noted in FRDC 2007-018 (Dichmont et al. 2010). The process is relatively simplified in this case, as there is no large interdependence in the fishery and economic modelling entailed.

Objectives

1. Investigate the use of robust statistical methods to stabilise and improve the performance of the catch prediction model of Venables et al. (2011) against historical catches
2. Calculate estimates of uncertainty for the catch prediction model
3. Investigate retrospective and prospective analyses, examining how the predictive models would have performed in recent years, including 2012.
4. Investigate refinements to the spatial scale and other structural aspects of the model
5. Develop economic indicators of dependence between catch and price, and price elasticity for banana prawns
6. Develop an MEY analysis for the common banana prawn fishery

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