Australia's commitment to 30% of marine protected area by 2030 in response to global concern about ocean health has focussed scrutiny directly on Australia's commercial net fishing sector. The handling of the Macquarie Island Marine Park announcement followed by the closure of gill net fishing in Qld in 2023 and marine protection proposals in WA have all challenged the commercial fishing sector's reliance on objective, risk based, scientific fisheries management and resource allocation. The focus on the commercial fishing sector appears incongruous to Australia’s effectiveness addressing greater impacts on coastal and marine health as identified in the five yearly Statement of Environment reports.
Australia's prawn trawl sector must continue its front-footed environmental stewardship actions to address Net Zero targets and the proposed Nature Positive Act. The ACPF must now build on its transparent community engagement activity with further investment as evidence of the sector's priorities. The ACPF's concerted community engagement activity commenced under FRDC Project 2018/172 and continued under the ACPF's 2021-2026 Community Engagement Plan. The sector must continue to actively reduce trawl impact at the same time as demonstrate its outstanding sustainability credentials as a food supplier.
The project invests within the scope of the FRDC's Environment Program with delivery into Communities, People, Adoption and Industry Programs. The project delivers on the following ACPF RD&E strategic activities against ACPF's Strategic Goals:
Strategic activity: Reduce impacts of fishing on bycatch and the marine environment (and continue to identify environmental risks to natural resource access). ACPF + cross-jurisdiction. (Delivering against Goal 1: Sustainability; Ecological. Goal 2: Stewardship marine resources. Goal 5: Society and Consumers trust, respect and value.)
Strategic activity: Co-investment opportunities in ecosystem health, climate change, carbon footprint. (Delivering against Goal 2: Stewardship of marine and aquatic environments)
Strategic activity: Best practice/Responsible fishing practices communication. (Delivering against Goal 2: Stewardship of marine and aquatic environments)
Strategic activity: Sustainability (Ecological & Economic) reporting. (Delivering against Goal 1: Sustainability; Ecological. Goal 2: Stewardship marine resources and aquatic environments.)
Strategic activity: Profile RD&E addressing social licence risks. (Delivering against Goal 1: Sustainability; Social. Goal 2: Stewardship marine resources and aquatic environments. Goal 3. A culture that is inclusive and forward thinking. Goal 4. Fair, equitable and secure access. Goal 5: Society and Consumers trust, respect and value.)
The project proposes to collate baseline data, invests in trawl impact RD&E, invests in nature positive initiatives across the environment metrics of the ESG framework and communicates all in a way that engages identified audiences.
The project will contain subprojects which will be identified and scoped in line with the overarching project strategy. Applications for subprojects will be sought using a range of mechanisms - competitive applications, direct or select tender as recommended by the project's steering committee (industry representatives, FRDC, an eNGO and a technical expert). Subprojects seeking national funding must demonstrate Return on Investment to a significant proportion of the sector. Subprojects will be contracted by the ACPF and report deliverables to the FRDC.
Co-investment will be sought from stakeholder partners and/or made by the project into externally managed projects.
Recognising that harvest strategies are not particularly effective in meeting the needs of the recreational fishing sector, there is a need to identify the correct vehicle(s) for appropriately considering the objectives of the sector in management frameworks. This will require intensive engagement with stakeholders through national and State peak bodies and fishery managers to establish a shared understanding of the limitations of current fisheries management frameworks and promote innovation in formulating alternative systems.
The need to develop a systems model for the recreational sector has been identified as critical to ensuring fisheries management frameworks effectively recognise recreational fishing considerations. The model would provide a framework for fisheries managers and recreational sector stakeholders to collaborate in designing and implementing the intensive consultation and technical processes necessary to ensure recreational fishing drivers are understood and information, data baselines and monitoring needs are agreed. Addressing this critical gap will enable the development of fishery management tools which are better able to achieve fishery management goals and are supported by all stakeholders.
This project will undertake intensive engagement with the recreational fishing sector and fisheries managers to build a consolidated understanding of the recreational sector and the values, goals and motivators of model identified segments within the fishery which will provide important inputs in fisheries management frameworks. It will examine the pre-conditions for recreational sector objective setting and design a systematic process to ensure objectives are rigorously formulated and effectively integrated into fisheries management plans and harvest strategies, with consideration of the needs of all resource users.
The key output will be a systems model which defines objective setting processes and outputs prior to the commencement of management planning processes. This will establish clear guideposts and criteria, from which managers and stakeholders can confidently progress to management plan and harvest strategy development in a responsible manner.
One of the highest research priorities for Snapper is the development of reliable fishery-independent indices to monitor population trends and inform stock status (Cartwright et al. 2021). This need is driven by the lack of information on stock status provided by fishery-dependent statistics, especially catch-per-unit effort, resulting from changes in management regulations and hyperstability associated with targeting aggregations. Furthermore, fishery-independent estimates of biomass are essential in the absence of fishery-dependent data resulting from fishery closures). Consequently, there is a need to develop methods for obtaining reliable fishery-independent estimates of biomass for Snapper that can inform stock status.
A variety of fishery-independent approaches have been used to estimate the biomass of exploited fish stocks. Several of these methods were developed and established for small pelagic fish species and have been adapted for demersal species such as Snapper, including the daily egg production method (DEPM) (Steer et al. 2017, Drew et al. 2022) and hydroacoustic techniques (Scoulding et al. 2023). There are also other recently developed, novel approaches to estimate abundance that could be considered for Snapper, such as close-kin mark-recapture (CKMR) (Bravington et al. 2016). This project will investigate and refine multiple fishery-independent approaches to estimate biomass for Snapper and provide recommendations based on feasibility, cost, and applicability to guide future assessments.
This research proposal has been developed to address four research priorities:
• Review the existing methodology used to estimate spawning biomass for Snapper using the DEPM and investigate methodological and statistical approaches to reduce uncertainty associated with individual parameters and refine estimates of spawning biomass.
• Evaluate the feasibility and suitability of alternative methods, such as hydroacoustics and CKMR, to generate a fishery-independent estimate of abundance and biomass for Snapper.
• Compare estimates of spawning biomass of Snapper obtained using the DEPM and hydroacoustic techniques.
• Review the existing Snapper stock assessment model (‘SnapEst’) and assess the suitability of new datasets to improve annual estimates of fishable biomass, exploitation rate, and recruitment. There is also the need to develop forecasting capability to predict how fishable biomass will respond under various recruitment scenarios. Such projections would assist the development of appropriate recovery and management strategies.
Consequently, Research Theme 2– Estimates of Biomass involves four projects:
2.1 Refinement of DEPM methodology for Snapper
2.2 Development and application of hydroacoustic techniques for Snapper in South Australia
2.3 Evaluation of close-kin mark-recapture (CKMR) for Snapper
2.4 Enhancement of the stock assessment model ‘SnapEst’
2.1 Refinement of DEPM methodology for Snapper
The daily egg production method (DEPM) has been used to estimate the spawning biomass of Snapper in New Zealand (Zeldis and Francis 1998), South Australia (McGlennon 2003, Drew et al. 2022), and Western Australia (Jackson et al. 2012). The underlying principle of the DEPM is that spawning biomass can be determined from the mean number of pelagic fish eggs produced per day over the spawning area (i.e., total daily egg production) divided by the mean number of eggs produced per unit mass of adult fish (i.e., mean daily fecundity) (Parker 1980, Lasker 1985). Total daily egg production is the product of mean daily egg production (P0) and total spawning area (A), while mean daily fecundity is estimated from the adult parameters of spawning fraction (S), batch fecundity (F), female weight (W), and sex ratio (R) (Parker 1980, Lasker 1985).
Difficulties differentiating eggs of Snapper from other fishes based on their morphology had precluded the application of DEPM for Snapper, until this issue was addressed through the development of a molecular technique to validate the identity of Snapper eggs (Oxley et al. 2017, Steer et al. 2017). Thereafter, the DEPM has been used to provide fishery-independent estimates of spawning biomass that have become an integral input to the stock assessment for Snapper in SA (Fowler et al. 2019, 2020, Drew et al. 2022). Recent applications of the DEPM for Snapper have identified several potential areas for method development and experimentation to reduce uncertainty associated with individual parameters and refine estimates of spawning biomass (Drew et al. 2022).
This experimental study involves two components that relate to refining the estimates of (1) total daily egg production and (2) mean daily fecundity. The first component related to total daily egg production includes a comparison of field techniques used to sample Snapper eggs, assessment of the spatial design of plankton surveys, and a temporal comparison of total daily egg production within a spawning season. Three field sampling techniques for plankton (i.e., vertical, oblique, and horizontal tows) will be compared to determine the most appropriate methodology to sample Snapper eggs for the DEPM. Concurrently, the spatial design of plankton surveys will be explored by conducting stratified plankton sampling at multiple intensities (i.e., 4 × 2 nm2, 2 × 2 nm2, and 1.4 × 1.4 nm2) to identify the most appropriate spatial scale to sample Snapper eggs from aggregations of spawning fish. The experimental field study will be repeated twice in a single spawning period (i.e., December 2023 and January 2024) over the same survey area to evaluate within-season variation in total daily egg production. The data collected from the field study will be explored using various traditional and geostatistical approaches to estimate total daily egg production (i.e., P0 × A). In doing so, the study will improve the understanding of how P0 and A spawning area are estimated for an aggregating demersal species.
The second component relates to mean daily fecundity and will examine how methods to estimate adult parameters (i.e., S, F, W, and R) can be refined. Representative samples of adult Snapper will be collected throughout the survey area concurrent with plankton surveys and processed for biological information. Initially, the aforementioned adult parameters will be calculated using current methods established for Snapper and compared to previous applications of the DEPM to Snapper in SA (e.g., Drew et al. 2022). Then, approaches developed in applications of the DEPM to other species will be used to estimate adult parameters and their variance, including the estimation of relative fecundity (F’) which is calculated by dividing batch fecundity (F) by female weight (W) to estimate the number of eggs produced per gram of total female weight (Ward et al. 2021). For each parameter, field, laboratory, and analytical methods will be evaluated to develop recommendations for future applications of DEPM for Snapper.
2.2 Development and application of hydroacoustic techniques for Snapper in South Australia
Hydroacoustic surveys have been used extensively around the world to survey pelagic fish species that form monospecific schools. They exploit the long-range propagation of underwater sound to survey large areas relatively quickly at high resolution. This technique relies on the proportional relationship of acoustic backscatter to abundance when the scattering properties of the target species are known. Individual species can be identified based on acoustic characteristics of the aggregations. However, additional optic methods can be incorporated to provide additional evidence on species composition, fish size, and orientation.
Researchers from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Western Australian Department of Primary Industries and Regional Development (WA DPIRD) have developed a conceptual method to quantify abundance and estimate the biomass of Snapper that incorporates traditional acoustic surveys with underwater video techniques (Scoulding et al. 2023). The optical component enables the species composition of the school to be quantified and the approximate size of the fish to be determined, which contributes to improved estimates of biomass.
Several limitations were identified in the recent study which prevented the estimates of biomass from being recommended for incorporation into formal stock assessment (Scoulding et al. 2023). However, it is likely that some of these limitations are not relevant to Snapper in SA’s gulfs (e.g., aggregations of mixed species, presence of other large teleosts), and others could be addressed through further method development (e.g., measurements of target strength for other species, benthic habitat maps).
This study will apply the methodology developed by Scoulding et al. (2023) to a targeted survey area in Gulf St Vincent in December 2023 and January 2024 to evaluate the applicability of hydroacoustic methods to quantify the abundance and biomass of spawning aggregations of Snapper. Furthermore, the hydroacoustic study will be completed over the same survey area and at the same time as the DEPM refinement study, therefore enabling direct comparison of biomass estimates between methods.
2.3 Evaluation of close-kin mark-recapture (CKMR) for Snapper
CKMR is a form of mark-recapture experiment in which the size of a spawning population (and fecundity at age, and survival) can be estimated based on the number of closely related individuals in a sample (i.e., parent-offspring pairs and half-sibling pairs). Intuitively, given a sample of individuals from a population, a greater number of closely related pairs are expected to be observed in a smaller population, whilst fewer related pairs are expected from a larger population. Close-kin mark-recapture can be used to estimate abundance, natural mortality (if catches are known), and fecundity with high precision (given sufficient sampling) and is independent of the fishery. Close-kin mark-recapture is a relatively new fisheries assessment tool that is increasing in popularity and has been successfully applied to two large-scale and economically important commercial fish and shark species (e.g., Southern Bluefin Tuna – Davies et al. 2020, School Shark – Thomson et al. 2020) and several species of conservation importance (e.g., Speartooth Shark – Patterson et al. 2022, Grey Nurse Shark, Bradford et al 2018, White Shark, Hillary et al ).
This scoping study will provide the expected precision for estimates of abundance of Snapper stocks in South Australia from a CKMR study (given a range of samples sizes) provided the true stock abundance is as estimated by the base case stock assessment model. If the stock is in fact smaller, then the precision from a CKMR model will be greater than forecast, and if bigger, then precision will be lower but catches will likely be sustainable. The information on population demographics, stock structure, and biological parameters will be drawn from the base case stock assessment for SA snapper.
2.4 Enhancement of the stock assessment model ‘SnapEst’
The SA Snapper fishery stock assessment model, ‘SnapEst’, was developed over two decades ago with FRDC support as a dynamic, spatial, age- and length-structured model (McGarvey and Feenstra 2004). The model integrates multiple data sources including biological information (i.e., length and age) and fishery-dependent data (i.e., catch and catch rate) to produce annual estimates of fishable biomass, exploitation rate, recruitment, and egg production. Significant modification and improvements have been applied to the model in recent years, which were necessitated by significant changes to management arrangements for the commercial sector from 2012 onwards and the updated understanding of population dynamics and stock structure for Snapper in SA (i.e., SG/WCS, GSVS, and the SE Region; Fowler et al. 2017). The most recent change to the stock assessment model was driven by the replacement of catch rate by DEPM biomass estimates as the fitted index of abundance for the SG/WCS and GSVS from 2013 onwards as a consequence of the extensive management changes and known catch rate hyperstability, which increased the need for a fishery-independent estimate of biomass.
The aim of this study is to evaluate, enhance and extend the stock assessment modelling capability for Snapper in SA. This will involve four main components. Firstly, the existing model (i.e., the version that was used in the most recent stock assessment; Drew et al. 2022) will be reviewed by a leading independent fishery modeller. It is anticipated that the external review will provide a series of recommendations and suggestions to improve confidence and transparency in model outputs. The second component involves integrating new data inputs into the model developed in the Snapper Science Program, such as an index of juvenile recruitment and improved estimates of biomass. The various data inputs will be assessed for their suitability for incorporation into the model.
The third component is the development of a recruitment forecasting sub-model that will use relative estimates of juvenile (i.e., age 0+) abundance to predict potential future trends in recruitment to fishable biomass 4 or 5 years later. The primary data source for the recruitment forecasting sub-model will be the time series of juvenile abundance for each stock that is being developed through a concurrent project (Snapper Science Program: Theme 1 – Biology and Ecology). The sub-model will relate the relative abundance of age 0+ juveniles in each year to the model-estimated recruitment of adults to the fishable stock.
The fourth component is to design, develop, code and implement a projection model, ‘SnapProj’. Once validated, the projection model will be a powerful tool to forecast population trends and inform management decision making.
Verification of fishing and aquaculture sustainability credentials is essential to increase consumer confidence, market access and community benefit. Sector performance currently centres on monitoring fish stocks & economic benefits. However, markets increasingly require traceable evidence of Environmental, Social & Governance (ESG) indicators such as provenance, safety, diversity, animal welfare, carbon, biodiversity to inform decisions. To meet this need, this project activates CSIROs Healthcheck ESG Fishing & Aquaculture data system by engaging industry, managers & researchers to identify data gaps and prioritise/collect essential indicators to allow more comprehensive ESG reporting. Data will be compatible and interoperable with existing catalogues/exchanges, for publishing to recognised sustainability frameworks (e.g. Status of Australian Fish Stocks, WhichFish, National Fisheries Plan, UN SDGs). Community surveys will allow adaptive prioritisation of future data/reporting needs.
In Australia, up to 90% of critical fish habitat for coastal fisheries, including seagrass, giant kelp, saltmarsh, and shellfish reefs, has been lost or significantly degraded. Many research studies have linked habitat with fisheries productivity, with habitat loss particularly impacting juvenile nurseries. Yet despite this information fish habitat restoration is not a recognised management tool in fisheries/harvest management strategies. Given this situation there is a strong need for a cohesive partnership across all fisheries sectors to support repairing productivity through fish habitat restoration and to create a forum where key sectors concerned for or dependent on aquatic habitat condition, can discuss problems and opportunities. This project will address a number of barriers limiting the restoration of fish habitat around Australia; accessibility of data relating fisheries production to habitat condition, limited penetration of this information into management and building a forum for the key fishing sectors to consider this information and develop responses.
Critical knowledge gaps identified by the cross-sectoral harvest strategy working group are encapsulated within three priority areas for mulloway in NSW:
1) Information on the spatial extent of population structure
Whilst mulloway in NSW have been shown to be part of a single genetic stock along the east coast (Barnes et al. 2015), which is managed at the jurisdictional level (Queensland, New South Wales, Victoria – Earl et al. 2021), the overall general small scales of movement and connectivity (Hughes et al. 2022), and spatial variation in otolith chemistry (Russell et al. 2021), suggest the potential for fine-scale population structuring within the broader stock. Such population structuring may occur over various time scales (e.g. evolutionary, generational or lifetime) relevant to management of the species. Identifying the spatial extent of population structure is therefore critical to inform the potential utility of spatially structured monitoring, assessment, and management of the species in NSW, including the potential need for cross-jurisdictional collaboration with Queensland and Victoria.
2) Refined and updated population life-history parameters
As described above, evidence indicates the potential for fine-scale within-generation population structure of mulloway within NSW, as has been demonstrated elsewhere in Australia (Ferguson et al. 2011). For mulloway in NSW, sub-populations may be subject to variation in environmental variables (e.g. habitat, water temperature, salinity), particularly those that vary with latitude. Such population structure may therefore manifest itself in spatial variability in demographic characteristics, such as growth, size and age composition, and mortality that affect stock productivity and subsequent resilience to exploitation. Information on mulloway reproductive biology was collected in the early 2000s and established size- and age-at-maturity (Silberschneider & Gray 2005), however information on the spatial and temporal extent of spawning is not clearly defined and the body-size fecundity relationship for mulloway in NSW is not well known. An updated examination of spatial variation in size and age structures, growth, mortality and reproductive biology are therefore urgently required to underpin length- and age-based components of future stock assessments for mulloway in NSW.
3) Assessment of gear selectivity and discard/release mortality for the main fishing methods.
Despite the majority of the commercial mulloway catch (~60%) being taken using gillnets (termed ’mesh nets’) in NSW, to date there has been very little research into selectivity, bycatch, discarding and post-release mortality of mulloway caught in this gear. Research on discard (‘release’) mortality from recreational fishing has shown that the two key predictors of mortality are deep-hooking (Butcher et al. 2007) and barotrauma (Butcher et al. 2013, Hughes et al. 2019), however, most of this work was restricted to small mulloway ( 45 cm TL) and no data are available on the fate of larger angled and released conspecifics. Research into the selectivity, rates of discarding and unaccounted fishing mortality of mulloway caught in the main gears and sectors are therefore urgently required (e.g. by defining selectivity functions and rates of discarding and post-release mortality for use in future stock assessment models).
Other knowledge gaps fall under priority areas already being addressed by existing NSW DPI-Fisheries initiatives (e.g. improved fishery data from all sectors, development of fishery-independent survey methods and updated comprehensive ERA; Figure 1).
Successfully fulfilling all knowledge gaps will generate data that will underpin a fourth priority area:
4) Development of a dynamic population model.
This is the essential tool that will be developed to reduce uncertainty in the species stock assessment, service the requirements of the harvest strategy to rebuild the stock, and guide future management to maintain the stock at a level that improves access to, and use of, the resource by all sectors. Any model(s) must also support an expandable assessment approach, capable of determining stock status with reasonable confidence from limited data available during the stock rebuilding phase, but with the ability to integrate additional data sources as they become available (once the rebuilding phase is complete) and maintaining continuity with previous assessments. The role of climatic/environmental drivers on mulloway population dynamics will also be examined within the integrated assessment model(s) that will be developed.
Without the improved knowledge encapsulated in the above priority areas for research, any reasonable assessment of the status of the resource, estimation of appropriate harvest levels, harvest strategy development, and implementation of appropriate management to rebuild the resource and maintain sustainability in future, will not be possible. This will in turn directly impact the magnitude, profitability, and social outcomes derived from the resource. Funding from the FRDC is therefore needed to address these key identified knowledge gaps, representing an urgent research priority for all harvesting sectors of the resource in NSW.
This program of works supports the trial, implementation, and evaluation of innovative and alternative low-impact harvest technologies (fishing gears) within Queensland’s inshore fisheries (East Coast and Gulf of Carpentaria). The program will be developed in a way that supports an evidence-based approach to developing and trialling sustainable alternative commercial fishing gears, and be run in collaboration with relevant Government agencies and fisheries stakeholders.
Through the additional support of co-investment of $4.5 million by FRDC (in line with this application and the approved funds listed under project 2023-154), the program will be delivered in two stages across a six-year timeframe (up to a total investment of $9 million).
The fishing methods to be trialled as part of the first stage will range from exploring enhancements of existing low-impact gear types, through to trials of innovative harvest technologies. The alternative low-impact harvest technologies will first be trialled in order to demonstrate their triple bottom line credentials. After this, the second stage will support broader implementation and evaluation of commercial application over a three-year period.
The program of works will also explore additional opportunities to enhance the economic value and social profile of the fishery, to ensure that any new harvest technologies align with global best practice standards, product value adding to enhance profitability margins, and improvements in social acceptability.
Wild caught seafood also allows for a diverse mix of species that appeal to a range of consumers and seafood businesses. It is planned that this work will explore potential opportunities for market expansion.
An estimate of stock size is a fundamental requirement in predicting a fishery's production potential and subsequently in developing ecologically sustainable management practices. As yet no stock estimates are available for Australian mud crab fisheries.
A number of factors make traditional stock assessment methods inappropriate for this fishery. Dr Carl Walters, in a 1996 review of the NT mud crab fishery, found that catch and effort models and assessment methods based on catch per unit effort data (CPUE) were inappropriate for assessment of this fishery due to non-randomness (hyperstability) in the spatial pattern of fishing effort. Mud crab fishers consistently fish down areas before moving to a new unfished or previously spelled area. Catch rates from this systematic local depletion process remain high, providing no evidence of stock decline. Likewise, use of traditional length-based models for estimating mortality and growth rates are problematic due to the non-continuous pattern (moult process) of crustacean growth. ( Walters 1996 FRDC Project No 96/158). Visual assessment techniques are also inappropriate due to the high turbidity of northern Australian tropical estuarine waters and fishing gear biases combined with species specific behavioral characteristics (i.e. burrowing) permits only the use of baited pots as a sampling tool. (pers. Comm. B. Hill 1999).
Recent upward trends in mud crab catch rates suggest that a degree of urgency in gaining estimates of mud crab stock size is warranted. Dr Walter's 1996 assessment results, based on the limited available data, suggested that the NT fishery was fully exploited (70-90% of available stock) and that there was little room for further development. However, in the following year the total NT mud crab catch doubled reaching 595 tonnes, with only a small increase in reported effort ( high levels of non-compliance were also reported). Qld total commercial catch has also substantially increased from approximately 400t in 1995 to 660t in 1998. Recreational and Indigenous activity trends also suggest increased activity.
Also of importance is recent work by Knuckey (1999) confirming Dr Walters conclusions that the NT Fishery (and probably Qld) heavily exploits the year one recruits. Considering the short lifespan (4 years) of this portunid crab, gaining an annual estimate of stock size is a high priority.
Anecdotal evidence from commercial fishers suggests that crab abundance follows a lunar cycle. This fine scale detail in catch variability is not evident from current logbook data and this may be a crucial factor in determining the optimal sampling period.
Given the accelerating pace of coastal development in northern Australia, identification and quantification of critical mud crab habitat is a priority for future protection of the ecosystem on which mud crab and various other stocks depend. Our ability to provide achievable biological reference points for the sustainable management of the mud crab fishery is limited by the nature of the fishing operation and the seasonal variability of catch rates.
A fishery-independent measure of stock abundance is needed to determine the size of the mud crab resource and therefore its sustainable harvest, including the potential for future development in areas such as Western Australia.
A significant achievement of this project has been the completion of mapping of coastal wetland habitats using remote sensing techniques, which provided a complete broad-scale coverage of mud crab habitats in the NT and Qld. A major outcome/output of this work has been the incorporation of the mapping into a geographical information system (GIS) permitting a much wider application across a variety of natural resource management agencies and issues. The updated Qld maps are now available electronically to the public via the QDPI&F website CHRIS. The identification and quantification of northern Australian coastal wetland habitats will benefit a broad range of northern Australian inshore fisheries.
Survey and analysis methodologies, based on mark-recapture techniques, have been developed to estimate mud crab density for two key habitat types in northern Australia. Density estimates for each habitat type were extrapolated up across adjacent regions in each state providing the first broad scale estimates of mud crab stock size. A direct and recent output from this work has been the use of preliminary biological and fishery data, to compare trends between years for Qld and NT mud crab fisheries, during a recent fishery assessment. This fishery assessment was convened in July 2004, to investigate the reduction in commercial mud crab catch in the NT. Negotiations on adjustment to the NT management arrangements are currently in progress.
Declines in catch and catch rate were observed in both the NT and Qld Gulf of Carpentaria (GOC) surveys over the two years of this study. This suggests large-scale environmental drivers influence mud crab recruitment success, at least for Gulf region. Estimated abundance for this region in the NT indicates a very high proportion of the legal sized mud crab stock was removed in 2003. Provision of information such as this may be far more useful for management purposes than logbook catch per unit effort (CPUE) data alone. The assessment techniques developed during this project provide a means to increase the value of CPUE data, setting up a benchmarking process that will ultimately assist in making well informed and timely management decisions.
Keywords: mud crab, abundance, habitat mapping, depletion, mark recapture, removal, trapping web