Corpus ID: 55556003

Embracing uncertainty in fisheries stock assessment using Bayesian hierarchical models

@inproceedings{Pulkkinen2015EmbracingUI,
  title={Embracing uncertainty in fisheries stock assessment using Bayesian hierarchical models},
  author={H. Pulkkinen},
  year={2015}
}
Overfishing and environmental changes impose high risks on the wellbeing of the world’s fish stocks. It is commonly acknowledged that fisheries management should be risk averse, following the principles of the precautionary approach, but unfortunately the statistical stock assessment methods often lack the ability to estimate the uncertainties related to their results. Further challenges arise from the fact that stocks which are in the most desperate need of a stock assessment are often data… Expand

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References

SHOWING 1-10 OF 56 REFERENCES
Model uncertainty in the ecosystem approach to fisheries
...
1
2
3
4
5
...