Assessment methods for stocks with little or no age data
A workshop on the best possible stock assessment models for fish stocks that do not have annual ageing programs or data.
There are many fish stocks in Canada and elsewhere that do not have annual ageing programs, or any age information.
Improving our understanding and progress in the development of data-moderate state-space stock assessment models (SSAMs) is an important step to extend SSAMs beyond data-rich age-based approaches.
This workshop will focus on the best possible stock assessment models for these cases.
The purpose of this four day workshop is to review current scientific information regarding the development and application of data-moderate SSAMs (e.g., little or no age data).
Register by September 10, 2023 by emailing Noel Cadigan.
Attendance will be limited and will be confirmed by September 10, 2023.
A formal agenda will be circulated as the meeting date approaches, but early challenges to be addressed and discussed include how to model:
The workshop will review progress on assessment models for several east coast of Canada stocks, and stocks in other areas:
Participants are encouraged to suggest additional case studies/presentations and topics to the steering committee.
Discussions will include research priorities and future collaborations. A meeting report will be produced. A workshop objective is to initiate a perspectives paper on application of length-based models (benefits and challenges), and possibly a simulation comparison paper of various methods. These details will be finalized before and at the workshop.
Dalhousie University is located in Mi’kma’ki, the ancestral and unceded territory of the Mi’kmaq. We are all Treaty people.
We acknowledge that the lands on which Memorial University’s campuses are situated are in the traditional territories of diverse Indigenous groups, and we acknowledge with respect the diverse histories and cultures of the Beothuk, Mi’kmaq, Innu, and Inuit of this province.
