The need for cumulative impact assessment (CIA) is increasingly being recognized. The development process for Australia's Harvest and Bycatch Policies, and their associated guidelines have reinforced the need for assessment of cumulative impacts, and the EPBC Act has also explicitly required consideration of cumulative impacts.

Where multiple activities occur or are planned, an understanding of their combined effects on the environment is necessary to address policy requirements and achieve sustainability. The concept of cumulative impact assessment is not new – indeed cumulative assessment has been recognized for many years, and a range of methods have been proposed around the globe. However, no methodology for undertaking cumulative assessments has been accepted nationally or globally. In addition to considering the impacts across all fishing sectors (commercial, recreational, indigenous, as required by recent changes to the Fisheries Administration Act 1991) and all fisheries, there is also an increasing need to consider other users of marine resources and coastal waters (e.g. renewable energy, shipping etc), especially where space crowding may be an issue.

Target species stock assessments typically consider the species of interest as well as other sources of fishing mortality (e.g. discards), but they do not usually consider their effects on other fisheries sectors or the effects of other sectors on the focal fishery. CIA methods therefore need to consider interactive and indirect effects. To date, interactive effects are often viewed as additive (simple linear addition of one impact to another) with little consideration given to synergistic, antagonistic or non-linear effects. While the ERAEF toolbox used for assessment of bycatch and protected species has some potential options for cumulative impacts (e.g. SAFE method), at this stage they are insufficient for moving to the scales and complexities across multiple fishing sectors and fisheries.

Thus, sustainable fisheries management requires new approaches that consider all sectors and all fisheries and how they impact the environment. Such CIAs will be challenging given that empirical data are often lacking - a dedicated research effort is needed.

There is widespread evidence, in Australia and internationally, of increased need for an improved, practical approach to integrated management (IM) of fisheries and other coastal marine activities that is able to fully embrace the social, economic and institutional aspects (the so-called ‘human dimensions), of management. Assessment and management systems traditionally neglect the human dimensions. Further, they treat sectors separately, often with different authorities managing diverse activities in different ways, resulting in inconsistencies in management across activities. The result is that there is almost no consideration of the cumulative social, economic or ecological impacts of multiple activities, and no way of informing trade-offs among activities in management decision-making.
Experience to date is that IM has been only partially successful. Management of multiple activities has been additive…squeezing one activity in among others (e.g aquaculture in light of others). While there are some examples of movement toward IM, these have resulted in partial or temporary success. There are examples where management has started toward IM, but progress has been stalled or has fallen back. In general, many preconditions exist, but it has been hypothesized that management is missing key aspects of intentional design that would allow IM to proceed.
The proposed workshop will bring together those with both the science knowledge and the operational knowledge of 8-10 Australian IM case studies and a few with international expertise, to evaluate and compare experience towards identifying key elements of success and failure of Integrated Management.

This proposal is a major part of initial research to be undertaken by the Aquafin CRC. This project has been jointly developed by the research agencies in close consultation with industry, Government regulators and FRDC.

Within the salmon component of the CRC Environment Program, local or on-site research needs are being addressed by an existing FRDC grant 2000/164 which is designed to determine the effects of fallowing on benthic fauna and biogeochemical processes.

The present proposal will examine the system-wide environmental issues facing finfish aquaculture with an initial focus on the salmonid industry. This project explicitly addresses the fact that further expansion of the salmonid industry will be limited by the industry’s contribution to nutrient loads in surrounding water bodies and possible effects on phytoplankton abundance, dissolved oxygen levels and other ecological changes. The Tasmanian State Government is proposing to limit nutrient release through the imposition of feed quotas for different regions. The quotas set are necessarily best estimates and may be overly conservative because of a lack of detailed knowledge of the effects of nutrient release on ecosystem functioning.

The modelling, laboratory and associated field work proposed here provides a mechanism to identify the minimum data needs for assessing environmental conditions, allows scenarios to be tested and key linkages in the ecology of the region to be identified. However, for these to function well we need to resolve uncertainties about the influence of waters from D’Entrecasteaux Channel on conditions in the Huon Estuary, the role of organic-rich sediments in the natural cycling of nutrients and consumption of oxygen in the estuary and the manner in which phytoplankton groups respond to elevated nutrient levels. The project will take advantage of the extensive set of environmental information, data and concepts generated by the FRDC-funded Huon Estuary Study - Environmental Research for Integrated Catchment Management and Aquaculture (Project No. 96/284; abbreviated to HES hereafter).

There is a demonstrable need for more effective monitoring of the environmental effects of finfish aquaculture. Predictive models can be used by industry and regulators to guide choices among alternative development strategies. For effective long-term management, it is also critical that effective monitoring programs are set in place, both to allow evaluation of the performance of environmental management strategies, and to assess model performance and reliability. This project will contribute to the design of long-term monitoring programs, by identifying cost-effective indicators and sampling designs which discriminate among alternative model assumptions and predictions, taking into account spatial and temporal variability. As well, the Program will seek advice and information from overseas agencies to take advantage of emerging technologies and approaches.