FRDC-DCCEE: climate change adaptation - building community and industry knowledge
Portfolio scale delivery of maximum outcomes and benefits to fishing communities - ensuring the information reaches the main benefactors.
Confusion in community around climate change impacts and adaptation strategies - need for the synthesis of the science and presentation of information in simple language.
Confusion in the community re: climate variability vs change.
Placing climate change factors in the context of a range of other externalities affecting fishing communities.
Need for more adaptable and flexible fisheries management.
Need for interaction and interface between conservation and resource use at the community level.
Bringing together existing climate change information where appropriate.
Consolidating and reducing misinformation and confusion.
Deliver regionally while still having an Australia-wide context.
Final report
Climate change science can be complex, difficult to understand, confusing and contentious. To maximise opportunities for adaptation, increased knowledge and understanding of climate change is essential. The project ‘Climate Change Adaptation: Building Community and Industry Knowledge,’ known as the ‘Knowledge Project’ was developed to address this need.
Additionally, the Knowledge Project was closely linked to the FRDC project ‘A climate change adaptation blueprint for coastal regional communities’ known as the ‘Blueprint Project’.
Marine Discovery Centres Australia annual network meeting
MDCA needs support to assist agencies such as FRDC to deliver key messages to the wider community and industry partners. Other organisations such as OceanWatch Australia, SeaNet, RedMap and a number of universities will also benefit. MDCA is seeking funding to enable 2 representatives from each Centre to cover costs associated with an annual network meeting. Each Centre hosts the annual event at their Centre, in a diverse range of marine bioregions around Australia.
Julie Haldane from FRDC has attended a number of network meetings and Peter Horvat attended the meeting in Queenscliff in 2009.
This application also addresses the following priority questions in the National Climate Change Adaptation Research Plan: Marine Biodiversity and Resources:
1. Aquaculture: many Centres are located in areas supporting aquaculture industries. We are a link with these industries direct to FRDC and provide information to assist them to adapt to climate change impacts.
2. Commercial and Recreational Fishing: Some Centres work closely with industry representatives in community based research projects. The Centres are a central contact point for industry and community members to access data and research results that may address key issues for their specific adaptation needs.
3. Conservation Management: Marine Discovery Centres are well-placed to deliver up-to-date educational material about the changes occuring in the marine and coastal environment.
4. Tourism and recreational needs: As above, MDCs are considered by the tourism industry as a link to important information about the impacts of climate change, both on capital assets as well as the environments in which they operate. All MDCs are located in key coastal regions and are a respected source of key information.
5. Cross-cutting issues: MDCs are central points that link research institutions, Govt agencies, industry and local communities to deliver important adaptation messages.
Final report
Tactical Research Fund: novel treatments without sulphites for the prevention of blueing in abalone during canning
Tissue sulphite residue is a significant issue due consumer sensitivity. Although estimates are highly
variable; commonly quoted figures suggest that about 1% of people are sulphite-sensitive, and of that group, 5% have asthma (USFDA, 1988). One to four percent of all asthmatics may be sulphite sensitive, with this rising to 5-10% among steroid-dependent asthmatics (SPDNA, 2004). There are few data on how much sulphite is required to produce a response in a sensitive individual; however Simon (1998) and Lester (1995) reported that most would react to ingested metabisulphite in quantities ranging from 20-50mg.
The sensitivity issue has lead some countries to impose limits on sulphite residues in abalone flesh (eg Japan 30ppm, Canada 100ppm, pers comm. A. Ziolkowski, SECC) while others such as China, a major market for Australian abalone, have no standards for sulphite residues so have adopted a zero tolerance policy (pers comm L. Feazey, AQIS). As much of Australia’s abalone exports to China go via the vulnerable grey channel there has been interest in eliminating blueing by non-sulphite means acceptable to Chinese authorities. This would then allow entry of the product via legal channels.
The development of a novel non-sulphite anti-blueing agent has the capacity to significantly influence abalone processing, and improve market access, increasing profitability. This supports FRDC’s RD&E Plan Industry Program NRP ”Frontier Technologies for building and transforming Australian industries” and the associated Rural R&D priority “Improve productivity and profitability of existing industries… .” Theme 7 of the Industry Program is also highly relevant: “improve productivity through operational efficiencies, new technologies…”, as is the associated Performance Indicator: “Development of knowledge, processes and technologies to improve productivity and profitability of the commercial sectors”.
Implementing a spatial assessment and decision process to improve fishery management outcomes using geo-referenced diver data
Assessment of the Tasmanian abalone fishery is currently reliant on trends in low quality catch data grouped at large spatial scales, and substantially influenced by recent fishing activity of diver (subjective diver opinion). There are no pre-defined logic pathways for decisions (increase, maintain, or decrease TAC) in the form of decision rules or harvest strategies, which can lead to ad hoc and indefensible proposals for TAC change. An evolutionary shift in assessment methods in Tasmania and elsewhere is required to achieve fully defensible management decisions.
Fishery-independent quantitative survey based biomass estimates and/or prediction methods are not feasible due to the size, variability and complexity of most abalone fisheries. The only viable alternative is a system which enables capture of high-quality geo-referenced fishery-dependent data, and a robust logic pathway based on performance indicators to underpin management decisions.
Here we propose the use of high quality spatial data and an objective decision process as the primary pathway to sustainable management advice. The need for high resolution data on relevant time scales is increasingly important as a range of financial pressures drive changes in fleet dynamics and individual fisher behaviour, frequently resulting in over-exploitation of local stocks. Under climate change scenarios, our dependency on historic trends will be less useful, requiring precise spatially explicit contemporary information.
FRDC Value Chain outcome 1: (Ecologically Sustainable Development, Climate Change, Governance and regulatory systems) Tasmanian Abalone Strategic Research Plan (2005–2009) - Need for fine-scale data on fishing effort. ACA Strategic Research Plan (2007–2017) Platform 3: Harvest Optimisation, Objective 2g; Platform 5: Sustainability & Environment: Objective 1b, 5q.
Final report
Fishing activity was captured across 53,852 one Hectare hex grid cells across Tasmania. A total of 113,164 diving hours were recorded across 125,536 individual fishing events (Table 1). Between 2012 and 2016, the Tasmanian Geo-Fishery Dependent Data (GFDD) program captured between 85 % and 90 % of the fishing effort across the entire fishery. Four spatial Indicators obtained from the GFDD - linear swim rate (Lm/hr), area search rate (Ha/hr), catch landed per Hectare (KgLa/Ha), and drops per day offer significant promise as new performance measures in addition to classic catch and effort based CPUE indicators (Chapter 6). Catch landed per unit area (KgLa/Ha) and Maximum linear extent of the dive displayed consistent and interpretable trends that parallel trends in CPUE, and the relationship with CPUE appeared to be global in nature. Linear swim rate as Lm/Hr appeared to have a local rather than global relationship with CPUE (Kg/Hr), highlighting the importance of underlying assumptions when determining TRPs and LRPs for these new spatial indicators. The GFDD through the linear swim rate indicator was able to detect a change in intensity of selective fishing practices (i.e. fisher diving patterns) in the Perkins Bay greenlip fishery. This finding is an important demonstration of the capacity of GFDD to identify change in fishing behaviour that has a spatial signature. The primary impediment to utilising these indicators in Harvest Strategies or ad hoc decision processes (for states with data available) is the limited time-series from which to develop meaningful Limit and Target reference Points (LRP and TRP).
This project has achieved the first significant quantitively description of spatially structured, spatially discrete hand-harvest fisheries across Tasmania, New South Wales and Victoria. Serial depletion is often presented as a theoretical explanation for the demise of fisheries, but that concept is rarely supported with empirical data. Chapter 10 demonstrated that the Tasmanian abalone fishery was comprised of several hundred discrete reef systems across the Tasmanian coastline, and that catch was largely proportional to area. While there were several outlier reefs, this relationship between reef area and reef production hints at some underlying base productivity. Strong relationships between catch and effort are routinely observed, but this is the first demonstration that such a relationship also exists for catch and area.
The proportion of fishable reef utilised each year and the degree of overlap between successive years was previously unknown, and researchers and management relied on industry participants to provide input on long-term changes. However results obtained from diver overlap analyses suggest that asking fishers their opinion on whether the global fishable reef is changing is an unfair question, as there is relatively little overlap in where fishers work, and particularly in large fisheries with many divers, any one diver may only fish a small fraction of the total area. Analytical tools developed in this project enable researchers to exploit the GFDD datasets and provide a precise measure of the extent of reef used in any one year. This project demonstrated that the area of reef fished in anyone year may be only half the known productive fishing grounds. This should not be interpreted as potential for expansion, but rather highlights the process of cycling through fishing grounds, enabling some reefs to escape fishing in some years.
There has been considerable attention given in Victoria and New South Wales to develop a predictive tool utilising previous history to determine future catch. While this is a potentially exciting application of the GFDD data, there appears to be considerable spatial and temporal dynamic in predictability of catch. The Geographic Weighted Regression analyses (Chapter 8) were very useful in identifying local areas of temporal persistence, and/or areas where catch is highly variable mong years. These types of analyses may have greater utility in understanding how productivity of exploited reef systems change through time in a backward-looking investigation than in any future predictive capacity. The challenge with using spatial linear modelling of whole of year spatial fishing patterns to predict catch in future years is that TACC decisions are often made prior to completion of the fishing year. There would need to be a clear demonstration that partial years data provided the same overall pattern as the full year data, and that is likely to be dependent on how much quota was left to catch at the time of the analyses.
Several analytical tools were developed to examine fleet behaviour and diver movement patterns, local variability in harvest levels and spatial structure of the reef systems being exploited. Separating normal fleet patterns driven by fisher preference, effects of inter-annual variation in exploitable biomass, and long-term changes in stock levels will require a much longer time series than currently available. Short term shifts in fleet movements and temporal variability in structure of fishing may be easily confused with normal cycling of fishing grounds. There is considerable impatience to utilise Geo-referenced fishery-dependent data in decision making processes and Harvest Strategies, despite no defensible mechanism to develop reference points from the short time series available. Similarly, the proportion of the known fishable reef area utilised each year and the degree of overlap among subsequent years are likely to be enormously informative for understanding one of the key unknown questions in abalone fisheries – is the footprint of the fishery and/or density changing through time. The capacity to identify areas of high persistence of commercially productive stocks will also improve our ability to understand and monitor key drivers of productivity and local regions critical to achieving the TACC.
Project has facilitated the collection of geo-referenced fishery dependent data across Tasmania, New South Wales and Victoria. A companion project was also run in the South Australian Central Zone abalone fishery where use of the Tasmanian GPS and Depth data loggers was made mandatory in 2013. The success of GFDD in improving the confidence in determining stock status ultimately relies on the high level of data coverage achieved, particularly in Tasmania. While the KUD derived spatial indicators may be useful with lower levels of coverage, the grid derived indicators will be of little use without high levels of data coverage as they rely on capturing activities of the entire fleet across a fishing year. In particular the Index of Persistence developed in Chapter 9 is not viable without a high level of data coverage. If spatial indicators are to be considered as part of annual assessments of fishery status there must be a commitment to ongoing collection of the data to generate a time-series that is useful, and that there is some certainty of these data streams being available for assessment into the future.
Tactical Research Fund: trial of an industry implemented, spatially discrete eradication/control program for Centrostephanus rodgersii in Tasmania
Over the last three decades the distribution of long-spined sea urchin has extended from its native range in NSW down the east coast of Tasmania and west through Victoria. The impact of this range expansion is expected to intensify. This large sea urchin overgrazes seaweeds and invertebrates on rocky reefs, causing catastrophic regime shifts in the coastal ecosystems. The 'barren' habitats that are left after the establishment of an urchin population are unable to support commercial or recreational fisheries for abalone or rock lobster among other species. Therefore the incursion of this species into non-endemic regions pose a significant threat to the integrity of shallow reef ecosystems and the associated biodiversity and fisheries these regions support.
Final report
The cost of manually controlling an invasive species in the marine environment is inherently expensive due to the costs associated with mobilising logistics to a target area, and secondly the limitations of diver time in the water. In this report we present models that can be used to generate cost estimates to cull a given area based on urchin density and dive depth, with the maximum depth chosen having a great effect on the overall cost. A local scale model estimates the maximum cost to cull Wineglass Bay to a depth of 20 m at $1,617,802, based on a constant density estimate of 1.5 urchins.m‐2. The cost to cull reef areas within Fortescue Bay to a maximum of 20 m using the same model at $877,019 based on a constant density of 0.29 urchins.m-2.
This report shows that systematic culling can significantly reduce the density of C. rodgersii in discrete areas. The implications of these findings are that culling can be considered a viable method in the management strategy evaluation of controlling the deleterious effects of C. rodgersii. The costing models provide tools to estimate the direct cost of implementing a culling strategy at a range of spatial scales across the east coast and can be manipulated to provide a bio-geographically accurate estimate of cost depending on the area (and size of area) selected.
FRDC-DCCEE: preparing fisheries for climate change: identifying adaptation options for four key fisheries in South Eastern Australia
A project to inform fisheries adaptation to climate change is needed in the South East region because:
1) it is an international ‘hotspot’ for marine climate change, which is currently displaying signs of perturbation and where further shifts, shrinkages and expansions of ecosystems and species distributions are expected;
2) it produces >50% of Australia’s seafood and is home to 60% of the Australian population;
3) a formal risk assessment identified fisheries species at highest risk from climate changes are also those with highest economic importance to the region;
4) its fisheries are managed by five separate jurisdictions whose adaption responses will need to be well coordinated if negative impacts are to be reduced effectively and opportunities that arise are to be seized.
Final report
Spatial patterns, landscape genetics and post virus recovery of blacklip abalone, Haliotis rubra (Leach), in the Western commercial fishing zone of Victoria
Populations dynamics, habitat availability and physical environmental features influencing stock structure need to be considered in order to devise spatially effective management strategies. The need for demographic information at the genetic level is accentuated by the advent of Abalone Viral Ganglioneuritis (AVG) and associated stock depletions in the region in recent years. The genetic component of this project will determine the current genetic condition of abalone stocks and provide a framework for post-AVG stock recovery planning.
For the first time, detailed seafloor structure information to depths of ~25 metres for the entire western abalone zone of Victoria is available. Whilst this information has primarily been collected by DSE Future Coasts Program for the assessment of coastal vulnerability, there is an opportunity to apply the data to determine the spatial extent of individual reef systems, connectivity between reef patches, and the relationships between seafloor structure information and genetic connectivity of abalone populations. The availability of these data also provides a unique opportunity to collate spatially-explicit fishery dependent data available for the western zone into a geographical information system (GIS) and integrate with LiDAR-derived seafloor information using a range of spatial analysis techniques. These data will facilitate investigations of abalone habitat suitability, identification of productivity hotspots (providing indications of productivity in relation to reef extent), and reef characteristics and environmental variables most influencing abalone habitat suitability.
Further, the integration of geospatial and genetic data will provide longer term benefits by feeding into the WADA reef-scale assessment and management system
Strategic research theme: Ecologically Sustainable Development; Victorian Abalone Fishery Management Plan (2002)- Need for better understanding of temporal and spatial aspects which will allow for management on a more refined spatial scale than is currently the case; ACA Strategic Research Plan (2007–2017) Platform 3: Harvest Optimisation, Objective 2f, 3h.
Final report
Aquatic Animal Health Subprogram: development of improved molecular diagnostic tests for Perkinsus olseni in Australian molluscs
Improved diagnostic methods for endemic and exotic pathogens of aquatic animals have been identified as a Key Research Area in the 2009-12 FRDC AAHS R&D plan (6.2.3 Endemic and exotic aquatic animal disease diagnostics).
Since Perkinsus olseni was first described in Australian abalone by Lester and Davies in 1981, histology and culture in Ray’s medium have been the most commonly applied diagnostic procedures for detection of Perkinsus sp.. Although these tests are relatively straight forward and practical, they are general in nature and neither identifies or differentiates specific species of Perkinsus. Despite a well developed framework for the molecular characterization of Perkinsus and modern PCR based molecular tests for some of the more commercially important Perkinsus species, these have rarely been applied in Australia. The first attempts to apply molecular methods to a small number (n=40) of Perkinsus infected abalone from disease outbreaks in NSW have already revealed a new variant which probably represents a new previously unrecognized species in Australia (Reece et al. 2010). This fact and the apparent variation in pathogenicity observed with Perkinsus in different areas, has raised several questions about which Perkinsus sp. are present in commercial mollusc populations.
Given that a significant depletion of blacklip abalone (Haliotis rubra) stocks in NSW over the last 20 years has been attributed to infection with Perkinsus (FRDC Project 2004/084) and localized areas of infection occur in a number of Australian states, from South Australia to northern Western Australia, the development and implementation of highly sensitive and rapid PCR based molecular methods to identify specific species of Perkinsus is essential. The development and application of such tests is necessarily underpinned by a detailed understanding of the molecular makeup of Perkinsus in these populations which is the subject of this application.
Final report
Aquatic Animal Health Subprogram: Investigations into the genetic basis of resistance to infection of abalone by the abalone herpes-like virus
Of particular interest to both the aquaculture and wild capture industries is whether there are
sub-populations of abalone that demonstrate some innate resistance to infection/disease or that are
capable of developing resistance. Identification of these sub-populations could prove useful to both
the farming and the wild-capture sector.
In a controlled culture population it may be possible to breed for a more AVG-resistant population that
would be able to respond better should a disease outbreak occur. Potential AVG resistance between
different wild populations could also be inferred since the parents of the farmed bred lines have come
from different wild sources and we will be able to use knowledge of their ancestry to determine if there
is any evidence for population differences. In addition, should any zones of the natural population be
at low densities such that re-stocking either from cultured seed or by movement of natural stock from
other zones be required, it will be critical to know if there is innate resistance prior to translocation of
any stocks. If sub-populations in the wild are found to be more resistant and others more susceptible,
this may influence management of these zones and restrict movement of stock within and between
zones. If genetic resistance is identified in greenlips, the next step would be to confirm this in blacklips
and hybrids, and then search for genetic markers associated with resistance/susceptibility to be able
to identify individuals and sub-populations that are more resistant or susceptible. Moreover, this study
will be the first examination of virus resistance in a gastropod and might provide us with information on
future events. Identification of mechanisms of resistance to infection/disease was identified as a
priority in the draft national abalone health work plan. Identification of resistant family line(s) would
allow further research on mechanisms of resistance (future proposal).