Depletion-corrected average catch: a simple formula for estimating sustainable yields in data-poor situations

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An evaluation of an iterative harvest strategy for data-poor fisheries using the length-based spawning potential ratio assessment methodology (2015, background): “In recent years, research on developing assessment techniques for data-poor fisheries has increased, and a suite of tools is evolving for scientists and managers to assess and manage stocks with limited data (Kelly et al., 2006; Klaer et al., 2012; MacCall, 2009; Wayte and Klaer, 2010).”
Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species (2015, methodology): “MacCall (2009) examined the SE and coefficient of variation of estimates of log(M) from both Pauly and Hoenig models and concluded that the latter is the better model.”
Evaluating methods for setting catch limits in data-limited fisheries (2014, methodology): “Useful meta-analyses have been published by Pauly (1980), Hoenig (1983), Hewitt and Hoenig (2005), and Gislason et al.”