1. Read Maceina and Pereira (2007) Sections 4.1-4.4 (complete chapter is here) and consider the items below.
    • What is the distribution of recruitment rates in many marine systems? Describe what this distribution looks like and what it means for recruitment rates?
    • What (generically) is a primary cause of recruitment variability?
    • What is recruitment overfishing?
    • How (generally) is recruitment defined for a particular stock? Who decides on this definition?
    • How long does it take to collect useful stock and recruitment data?
    • What is CV?
    • What are the two primary stock-recruitment (SR) functions (i.e., both are named after prominent fisheries scientists)?
    • In both SR functions, what does α and β represent?
    • What is the equation for the Beverton-Holt SR function? Describe the shape of this curve? What stock/spawner abundance results in the highest level of recruitment according to this model?
    • What is the equation for the Ricker SR function? Describe the shape of this curve? What stock/spawner abundance results in the highest level of recruitment according to this model?
    • What is overcompensation? What are example behaviors or population dynamics that may lead to overcompensation?
    • What type of statistical technique is used to fit a SR function to data? What type of “error structure” should be used with this technique?
  2. Read Section 13.1 in Introductory Fisheries Analyses with R and consider the items below.
    • What are two characteristics of most stock-recruitment (SR) data sets?
    • What are the two primary stock-recruitment (SR) functions (i.e., both are named after prominent fisheries scientists)?
    • In both SR functions, what does α and β represent?
    • What is the equation for the Beverton-Holt SR function? Describe the shape of this curve? What stock/spawner abundance results in the highest level of recruitment according to this model?
    • What is the equation for the Ricker SR function? Describe the shape of this curve? What stock/spawner abundance results in the highest level of recruitment according to this model?
    • What R function is used to find starting values for fitting a SR function? What arguments does it need?
    • What R function is used for fitting a nonlinear regression? What arguments does it need for fitting a SR model?
    • What function extracts the parameters estimates from the results above?
    • What function extracts confidence intervals for the parameters from the results above?
    • How can one determine if the density-dependent parameter in a SR function is statistically significant?