Background: catch at length/age
Determine how landings data are aggregated based on available length samples
How are missing length samples handled
Need to recognize species specific rules for calculating catch at length & age
- life history traits
- where in time to borrow length samples
- length-weight relationships
- Is species aged?
Need to know data sources
Initial meeting with Kiersten, Gary, Paul to formulate a set of rules/decision tree
Stock Efficiency
- StockEff already does some of this, why reinvent the wheel?
- Excel template for species to be added to commercial module
- Creates a record of how data was made
Why not just use these templates?
Interest centers on the decision making process prior to entering information into this template
Multispecies models require data for many species on a different spatial footprint from assessments
Template found on StockEff Confluence
mscatch as an R package
Address the decision making process
Define species specific rules.
Reproducible with documentation of decisions (Transparency)
Multispecies length and age based models require data on a different spatial footprint from assessments
- Many challenges
- Alternate spatial footprints could result in the absence of species data (eg. Mackerel, herring on Georges Bank)
- Encompass multiple species stocks (eg. Winter flounder on Georges Bank)
Evaluate the performance of multispecies assessment models
Sample output:
Sample output:
Sample output:
Sample output:
Walkthrough
- Currently borrows length samples:
- from previous QTR/SEMESTER
- use nearest neighbor in time
- use nearest neighbor from another gear type
uses survey length-weight data to fit relationship
Process for handling missing length samples will be expanded to incorporate today's discussion.
