A good understanding of such drivers is necessary for the development of
recruitment models which can accurately predict recruitment variability,
including spikes (if possible).
WGRFE’s objectives run along two lines:
- Studying existing theories underpinning recruitment processes, including challenges and caveats, across a broad spectrum of species and ecosystems
- Improving the modeling and predictability of stock recruitment by:
- Refining existing theories and, when necessary, developing new theories to explain recruitment variability
- Identifying appropriate methodologies for detecting and validating environmental datasets in support of stock recruitment processes
- Developing stock recruitment models with high predictive ability, which incorporate environmental drivers