Details of Award
NERC Reference : NER/B/S/2000/00685
Development and application of Bayesian/Maximum Entropy statistical techniques for analysis of fishery acoustic survey data.
Grant Award
- Principal Investigator:
- Professor AS Brierley, University of St Andrews, Biology
- Co-Investigator:
- Dr S Gull, University of Cambridge, Physics
- Grant held at:
- University of St Andrews, Biology
- Science Area:
- None
- Overall Classification:
- Marine
- ENRIs:
- Natural Resource Management
- Global Change
- Science Topics:
- Conservation Ecology
- Population Ecology
- Community Ecology
- Technol. for Environ. Appl.
- Abstract:
- We will develop Bayesian techniques to analyse Antarctic krill acoustic-survey data. New methods are needed to improve precision of abundance estimates and map distribution. Acoustic surveys are the best way to assess krill, but vessel costs limit survey duration; for skewed abundance distributions when rare, high density aggregations account for most biomass sampling effort may be low. Acoustic transects contain valuable information on spatial distribution but this is ignored by classical statistic techniques: geostatistics do not work well for krill because scarce, extreme values are difficult to model. Maximum Entropy and Markov Chain Monte Carlo techniques are used for inferring mass and reconstructing spatial distribution from sparse and noisy physical data. They could contribute much to our understanding of distribution and abundance of krill and other fishery resources.
- NERC Reference:
- NER/B/S/2000/00685
- Grant Stage:
- Completed
- Scheme:
- Small Grants Pre FEC
- Grant Status:
- Closed
- Programme:
- Small Grants
This grant award has a total value of £36,053
FDAB - Financial Details (Award breakdown by headings)
| Total - T&S | Total - Staff | Total - Other Costs | Total - Indirect Costs |
|---|---|---|---|
| £2,526 | £21,658 | £1,906 | £9,963 |
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