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Title:

Maximise yield or minimise risk in the Blacklip Abalone fishery: using biological data to direct harvest strategies

Project Number:

2015-017

Organisation:

SARDI Food Safety and Innovation

Principal Investigator:

Ben Stobart

Project Status:

Current

FRDC Expenditure:

$272,978.00

Program(s):

Environment, Industry

Maximise yield or minimise risk in the Blacklip Abalone fishery: using biological data to direct harvest strategies

Final Report
ISBN:978-876007-11-9
ISSN:
Author(s):Ben Stobart
Date Published:January 2019
The primary goal of this research was to identify attributes of the seasonal biology of Blacklip Abalone (Haliotis rubra; hereafter referred to as Blacklip) that may be beneficial for optimising fishing strategies. The optimum months to harvest Blacklip to maximise yield were identified using a model adapted from previous work carried out on Greenlip Ablaone (Haliotis laevigata; hereafter referred to as Greenlip). By adapting fishing strategies to harvest Blacklip during the optimum months, fishers can either (1) harvest fewer Blacklip for the same total allowable commercial catch (TACC) taken, or (2) adopt a co-management strategy where they harvest the current number of abalone that are heavier and thus allowing a higher TACC. 
The project results provide the opportunity to change the seasonal timing of harvest to reduce exploitation rate, increase landed revenue, or achieve a combination of these two management objectives. These outcomes are consistent with the priorities of industry - to reduce risk to Australia Abalone fisheries, optimise harvests and improve fishing efficiency.

Objectives

1. Quantify the seasonal and spatial variation in the blacklip abalone shell size/whole weight/meat weight ratios

2. Incorporate the biological data into the existing greenlip model and apply under the monthly fishing scenarios developed in consultation with Industry

3. Provide model outputs from each fishing scenario that detail the number of abalone harvested and their value. This information will allow Industry and managers to maximise the efficiency of their blacklip fisheries.