Decadal changes in biomass and distribution of key fisheries species on Newfoundland's Grand Banks.

ABSTRACT: Canadian fisheries management has embraced the precautionary approach and the incorporation of ecosystem information into decision-making processes. Accurate estimation of fish stock biomass is crucial for ensuring sustainable exploitation of marine resources. Spatio-temporal models can provide improved indices of biomass as they capture spatial and temporal correlations in data and can account for environmental factors influencing biomass distributions. In this study, we developed a spatio-temporal generalized additive model (st-GAM) to investigate the relationships between bottom temperature, depth, and the biomass of three key fished species on The Grand Banks: snow crab (Chionoecetes opilio), yellowtail flounder (Limanda ferruginea), and Atlantic cod (Gadus morhua). Our findings reveal

SUBMITTER: Ruiz-Diaz R 

PROVIDER: S-EPMC10984460 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature