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Best practices for modeling time-varying growth in state-space stock assessments

Temporal variability in biological parameters (i.e., population processes) is common among fish stocks and may substantially impact the outputs of stock assessments. Growth variability is an important contributor to biomass fluctuations in several …

Responding to climate-driven changes in growth in the modern stock assessment models

Temporal variability in somatic growth is one of the main drivers of biomass fluctuations in fish stocks but is infrequently modeled explicitly in stock assessments. In recent years, state-space assessment models have been developed to estimate …

Accounting for temporal variability in somatic growth improves state-space assessment model for walleye pollock in the Gulf of Alaska

Temporal variability in somatic growth is one of the main drivers of biomass fluctuations in fish stocks, but is infrequently modeled explicitly in stock assessments. In recent years, state-space assessment models have been developed to estimate …

Modeling the multiple action pathways of projected climate change on the Pacific cod (Gadus macrocephalus) early life stages

Ocean acidification (OA) has the potential to significantly affect the production of valuable fishery resources, including gadids and other groundfishes through multiple ecological pathways. These include the direct physiological effects on larvae …

Incorporating the impacts of climate variability on growth in fish population dynamics models

Variations in ocean conditions influenced by climate fluctuations may impact fish populations by changing their spatial distribution, physiology, survival, and other ecological features. Somatic growth is a crucial aspect of the biology of fishes and …

Impacts of spatial and temporal variability in somatic growth on fish stock assessment models

Variation in somatic growth is common in fish populations but often ignored when implementing stock assessment models, which can substantially impact model inputs and outputs. Age composition is defined as the proportion of a fish population …

Accounting for spatiotemporal variability in somatic growth in age composition data estimation for stock assessment models

Fish populations commonly exhibit spatial and temporal variability in somatic growth. For instance, differences in oceanographic conditions between areas or years can drive variation in rates of somatic growth, which increases variance in size-at-age …

Identifying biogeographical transition zones and nekton assemblages in the northern Humboldt Current System

A biogeographical transition zone is a boundary between biogeographical regions, representing an area of biotic overlap, which is promoted by historical and ecological changes that allow the mixture of taxa belonging to different biotic components. …

Effects of ENSO phases on Peruvian anchovy spatial aggregation patterns

The Peruvian anchovy (Engraulis ringens) is the most important small pelagic of the Humboldt Current, supporting the largest mono-specific fishery in the world. Previous studies have tried to link spatial indicators with environmental variables, …