Project number: 2003-051
Project Status:
Completed
Budget expenditure: $409,509.00
Principal Investigator: Stewart Frusher
Organisation: University of Tasmania (UTAS)
Project start/end date: 19 Jul 2003 - 1 Jul 2007
Contact:
FRDC

Need

There is a common need in the assessment of all fisheries to obtain precise estimates of exploitation rates and/or biomass. In the Tasmanian rock lobster fishery, biomass is a key performance indicator and change in biomass is the primary driver for recommendations of future Total Allowable Commercial Catch (TACC) allocations by the Fisheries Advisory Committee. In recognition of this need, both the Tasmanian
Government (1992-1997) and FRDC (1997-2001) have funded projects to investigate methods to estimate biomass independent of the fishery.

Fishery independent estimates are essential because estimates derived from fisher’s catch and effort are often biased as exemplified by the change in the link between catch rate and abundance following the introduction of the ITQ management system in Tasmania (FRDC 1999/140). Although initially promising, exploitation rate and biomass estimates based on changes in the population during the fishing season proved unreliable (FRDC 1997/101). Both the Industry and Managers have identified the need to explore new methods to obtain precise estimates of these important performance indicators.

Multi-year tagging models have been identified as a promising way of estimating these parameters because they address the failings (variable catchability and recruitment) in the population derived estimators. Initial trials in northwestern Tasmania proved very successful and support the potential of this approach. However, tag returns from fishers are unpredictable and there is an immediate need to
determine ways of improving tag reporting rate to optimise the output of tag based models. Furthermore, the models applied to northwestern Tasmania relied on a minimum of two tagging events occurring each fishing season. As each tagging event occurred during a different period of the moult cycle, there is a need to validate the tag retention and tag induced mortality rates associated with these different tagging times. Other factors relating to size, sex, damage and their interactions with different tagging times also need further investigation. A careful evaluation of other means of improving the precision of estimates from tagging models is seen as necessary, prior to the implementation of a large scale tagging program.

Validating the assumptions associated with the use of tagging models, demonstrating ways to test for these assumptions and the precision of fishery assessment outputs is needed prior to recommending these models for use in other fisheries.

Objectives

1. To develop methods for maximising and better estimating tag reporting rate.
2. To evaluate different tagging methods in rock lobsters with respect to tag induced mortality, tag loss and the likelihood of recaptured tags being reported.
3. To determine the variability in tag loss, tag induced mortality and tag recapture rates associated with the time of tagging and demonstrate the impact that these have on mortality estimates.
4. To develop a fishery-based mark recapture model that estimates both fishing mortality and natural mortality and catchability, and demonstrates the precision of these parameters based on a number of data options.

Final report

ISBN: 978-1-86295-504-2
Author: Stewart Frusher
Final Report • 2017-09-29
2003-051-DLD.pdf

Summary

Tagging is an important tool for estimating key fisheries parameters such as fishing mortality, natural mortality and growth. This project identified the need for future tagging projects to undertake preliminary studies to determine the impact of tagging on both growth and survival, and we developed a new method for obtaining in situ measurements. While aquaria studies have demonstrated that the timing of tagging in relation to the lobster moult cycle can have an impact on tag-induced mortality, these studies estimated that the impacts were low. The in situ method in our study found similar moult cycle impacts but our impact estimates were substantially higher than previously considered.
 
New tagging projects for lobster should evaluate the use of PIT tags as this project demonstrated the ‘proof of concept’ in obtaining a 100% tag reporting rate by scanners placed at strategic locations on board fishing vessels. With as few as 10% of the fleet having scanners, PIT tagging proved to be cost beneficial compared to conventional T-bar tags. As PIT tags are normally imbedded in the muscle of an animal, they are ‘invisible’ to potential reporters (e.g. fishers). A hybrid T-bar tag developed and tested in this project combined a T-bar tag and a PIT tag so that the PIT tag remained visible to fishers for reporting on vessels that did not contain scanners. An additional benefit of the hybrid tag was that it removed the potential for the PIT tag to be ingested.
 
The development of an ‘exact time’ survival model that followed the fate of individual tags enables tagging programs to be more flexible in the release of tags. Previous multi-year tagging models required releases to be aggregated to a single release period during a specific tagging event (i.e. mean day of all releases for a tagging event). The new model allows for tagging projects to be more flexible in their design and incorporate tags released at any time. This would allow for inclusion of tagged animals released by fishers throughout the fishing season (e.g. berried female lobsters). The ‘exact time’ model also enabled finer scale (weeks, months etc) estimates of catchability to be estimated in addition to mortality rates, thus increasing the information obtained from a tagging study.
 

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