Model outputs and validation
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 impr...
| Autores: | , , , |
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| Tipo de recurso: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/387043 |
| Acceso en línea: | http://hdl.handle.net/10261/387043 |
| Access Level: | acceso abierto |
| Palabra clave: | Yellowtail flounder centres Remained relatively constant Provide improved indices Newfoundland &# 8217 Limanda ferruginea </ Gadus morhua </ Ensuring sustainable exploitation E ., dfo Chionoecetes opilio </ Canadian fisheries management Based fisheries management Barriers may need Joint stock assessment Step towards ecosystem Key fisheries species Snow crab (< Findings revealed changes Div >< p Atlantic cod (< 3no stocks would Atlantic cod Findings suggest Ecosystem information Decadal changes Species within Species showing 2j3kl stock Temporal models Temporal correlations Precautionary approach Northern shift Marine resources Making processes Grand banks Faster recovery Environmental factors Capture spatial Bottom temperature Achieve collaboration Accurate estimation |
| Sumario: | 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 revealed changes in the centre of gravity of Atlantic cod that could be related to a northern shift of the species within the Grand Banks or to a faster recovery of the 2J3KL stock. Atlantic cod also displayed hyperaggregation behaviour with the species showing a continuous distribution over the Grand Banks when biomass is high. These findings suggest a joint stock assessment between the 2J3KL and 3NO stocks would be advisable. However, barriers may need to be addressed to achieve collaboration between the two distinct regulatory bodies (i.e., DFO and NAFO) in charge of managing the stocks. Snow crab and yellowtail flounder centres of gravity have remained relatively constant over time. We also estimated novel indices of biomass, informed by environmental factors. Our study represents a step towards ecosystem-based fisheries management for the highly dynamic Grand Banks. |
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