The need for spatio-temporal modeling to determine catch-per-unit effort based indices of abundance and associated composition data for inclusion in stock assessment models

Mark N. Maunder*, James T. Thorson, Haikun Xu, Ricardo Oliveros-Ramos, Simon D. Hoyle, Laura Tremblay-Boyer, Hui Hua Lee, Mikihiko Kai, Shui-Kai Chang, Toshihide Kitakado, Christoffer Moesgaard Albertsen, Carolina V. Minte-Vera, Cleridy E. Lennert-Cody, Alexandre M. Aires-da-Silva, Kevin R. Piner

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

We describe and illustrate a spatio-temporal modelling approach for analyzing age- or size-specific catch-per-unit-effort (CPUE) data to develop indices of relative abundance and associated composition data. The approach is based on three concepts: 1) composition data that are used to determine the component of the population represented by the index should be weighted by CPUE (abundance) while the composition data used to represent the fish removed from the stock should be weighted by catch; 2) due to spatial non-randomness in fishing effort and fish distribution, the index, index composition, and catch composition, should be calculated at a fine spatial scale (e.g., 1°x1°) and summed using area weighting; and 3) fine-scale spatial stratification will likely result in under-sampled and unsampled cells and some form of smoothing method needs to be applied to inform these cells. We illustrate the concepts by applying them to yellowfin tuna (Thunnus albacares) in the eastern Pacific Ocean.
Original languageEnglish
Article number105594
JournalFisheries Research
Volume229
Number of pages19
ISSN0165-7836
DOIs
Publication statusPublished - 2020

Keywords

  • Catch-per-unit-effort
  • CPUE
  • Spatio-temporal model
  • Index of abundance
  • Catch-at-age
  • Length composition

Cite this

Maunder, M. N., Thorson, J. T., Xu, H., Oliveros-Ramos, R., Hoyle, S. D., Tremblay-Boyer, L., Lee, H. H., Kai, M., Chang, S-K., Kitakado, T., Albertsen, C. M., Minte-Vera, C. V., Lennert-Cody, C. E., Aires-da-Silva, A. M., & Piner, K. R. (2020). The need for spatio-temporal modeling to determine catch-per-unit effort based indices of abundance and associated composition data for inclusion in stock assessment models. Fisheries Research, 229, [105594]. https://doi.org/10.1016/j.fishres.2020.105594