22nd Regular Session of the Scientific Committee
Agenda Item 3.1.2 Reconciliation of size composition data for stock assessments (Project 127 and 127a)
Annotation
SC22 will consider recommendations to improve size composition data sampling based on analyses of data coverage and sampling imbalances, as well as updated conversion factors derived from contemporary data, particularly for conversions with uncertain or missing source data, and provide comments and further guidance as needed. SC22 will also consider endorsement of a standard proforma with a set of questions to provide information on size data collections submitted to the WCPFC (for data not collected under the ROP). This proforma will ensure that records are maintained on how size data is collected by CCMs that provide these data, and if there are changes in the way it is collected over time.
- Project 127a represents an extension and enhancement of Project 127, addressing key gaps identified in SC21-ST-WP-02 and subsequent discussions, with additional resources to advance priorities identified in the project extension. Building on the initial consolidation and review of size composition data sources and conversion factors, the project focuses on issues related to uneven spatial and fleet sampling coverage, data representativeness, and uncertainty in conversion factors. Consistent with ISG-05 recommendations, Project 127a will undertake detailed statistical and spatial analyses of size composition data collection patterns, with a focus on yellowfin and bigeye tuna, to identify over- and under-sampling and provide practical recommendations to improve future sampling design. In parallel, it will strengthen conversion factor reliability by targeting poorly documented length-length and weight-weight relationships through new sampling efforts, including support to SOCCSKSARGEN and observer programs.