The urgent need for reliable quantitative data on the habitats which are used extensively by commercial and recreational fish species during one or more stages in their life cycles has been highlighted by Cappo et al. (1998) in their report to FRDC (95/055). That report identified a deficiency in a knowledge of the following:

1. Characteristics and locations of important fisheries habitats at scales useful for research and management.
2. Life history information for fish species, related to the types of habitats occupied throughout their life cycles, and data on the densities and/or biomass of those other biotic components of fish habitats, which provide food and/or protection for fish, such as invertebrates and aquatic vegetation.
3. Habitat dynamics and ecosystem processes, including food webs, habitat use and fisheries production in soft sediment substrata, such as beaches.
4. Fisheries-habitat links, including the influences of hydrodynamic and other processes on the recruitment of commercial and recreational fish species.

The above gaps in our knowledge were also highlighted by the FRDC in its “Research Priorities for Fisheries Ecosystem Protection”, when they listed two of its strategic R&D areas as “defining major habitats in the coastal exclusive economic zone” and “the roles of habitats in maintaining healthy fisheries production, ecosystem integrity and biodiversity”.

There is a particularly urgent need to fill the above gaps because the coastal and estuarine waters of Australia are becoming increasingly exposed to the effects of numerous coastal developments, e.g. the construction of harbours, marinas and groynes, and to the destruction of habitat through other forms of activity, e.g. dredging for sand and extreme forms of eutrophication. Information on which habitats are most important to commercial and recreational fish species in these waters are required by managers so that they can introduce appropriate plans for managing and conserving those habitats.

Sound estimates of natural and fishing mortality form the basis of fishery stock assessment and modelling. Without these data, the extent to which the spawning biomass has been reduced or the effectiveness of management measures in sustaining wild fish stocks cannot be determined. These estimates of mortality are crucial if the commonly-used reference points for fishing mortality and biomass are to be used in managing fisheries. Considerable advances have been made in obtaining estimates of mortality when data on the age composition of the annual catch are available. However, when there are only data on the length composition of the catches, analyses become more complex and the algorithms are not as well defined. Although information is usually available within the biological and fishery data that allows estimation of total mortality, the information on natural mortality must usually be obtained from empirical models that relate natural mortality to characteristics of the life history for other fish species or by estimating the relationship between total mortality and fishing effort, thereby obtaining an estimate of natural mortality by subtraction. Furthermore, there is a need to understand how natural mortality varies with size. Although the study of mortality deserves to be a primary focus of fishery research, it is difficult and thus often set aside. For many of Australia’s finfish stocks, there is a need to develop length-based methods to estimate mortality, which can be used to monitor the stock status of the recreational fisheries, and to obtain improved estimates of natural mortality that can be used in assessing sustainability. The project falls within FRDC’s Natural Resources Sustainability Program and is intended to increase and apply knowledge of stock assessment methods by developing methods of estimating mortality using length composition data which, compared with age composition data, are relatively inexpensive to collect.