Recruitment models: diagnosis and prognosis

By C. Needle. Reviews in Fish Biology and Fisheries, 2001

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Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, background): “334 Population: Stock assessment models aggregate early life stages in an empirical stock-335 recruitment relationship (Needle, 2001), which determines critical characteristics of the 336 produced stock dynamics (e.g. Cabral et al., 2013).”
Integrating Reproductive Biology into Scientific Advice for Fisheries Management (2008, methodology): “There are a number of standard S/R curves that are applied to S/R data in stock assessments (Needle, 2002).”
Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size (2009, background): “In contrast, the real environment is highly variable, and variability and uncertainty can be introduced to the system through annual recruitment (Myers, 2001; Patterson et al., 2001; Needle, 2002).”
Systematic bias in estimates of reproductive potential of an Atlantic cod (Gadus morhua) stock: implications for stock–recruit theory and management (2006, methodology): “Therefore, the functional form of the stock– recruit relationships was described by fitting a threeparameter Saila–Lorda model (Needle 2002) that is formulated as”