We invite presentations and posters which focus on fishery dependent information requirements to support science, management and policy development, and on the collection and use of fishery dependent data, including conventional and novel data collection methods, analysis and interpretation. In particular, the conveners would like to stimulate a discussion of regional and global status and challenges in the collection, compilation and interpretation of catch, bycatch and ancillary data by encouraging broad international participation. Specific areas of interest include:
- Development and evaluation of policy and regulatory measures.
- Data requirements to support environmental, economic and social understanding of fisheries dynamics and management.
- Collection of socio-economic data and fishers’ knowledge data and integration into the analytical and management process.
- Use of fishery dependent data to quantify technology creep and selection of appropriate metrics to define fishing effort.
- Evaluation of fishery dependent data in relation to the ecosystem approach to fisheries (EAF) including impacts of fishing for target and bycatch species on fishing communities and habitats, and as indicators for stock condition and distribution.
- Innovative data collection strategies such as self sampling and reference fleets, including assessment of precision and bias, and integration of data.
- Observer programs; use of observer data in analytical assessments; cost-benefit optimization; recognition of bias (e.g. accounting for spatial and temporal inconsistencies); sampling design.
- Electronic monitoring (EM) systems such as video and VMS; use of these types of data to support fisheries management and understanding of fisheries dynamics; integration of EM data with other types of information.
- Other novel approaches to data collection and application of these approaches to support and develop management objectives.
- Ancillary (e.g. environmental) data collection during fishing operations and utilization in support of the EAF.
- Data quality (uncertainty and bias) impacts on stock assessment and recognition in interpretation and provision of advice.
- Quality control.
- Integration of multiple sources of information and information systems design, e.g., for estimating discards and IUU-fishing.
- Management and acceptable use of information
We encourage anyone who is interested in this subject matter to submit abstracts regarding work that has been carried out in these and related areas.