1. Read Sections 11.1 and 11.2 (skip Section 11.2.2) in Introductory Fisheries Analyses with R and these notes and consider the items below.
    • Define A, Ct, Ct+1, and Z.
    • What is the formula for computing annual mortality from catches that are separated by a single year?
    • Describe the difference between longitudinal and cross-sectional catch-at-age data.
    • What must be true for a vector of consecutive catches-at-age to be equal when extracted from longitudinal and cross-sectional data.
    • What is the equation for the “catch-curve” model (that shows how catch is related to time)? Show how this equation can be linearized.
    • How is Z estimated from catch-curve data?
    • How is A estimated from Z?
    • What is the characteristic shape of catch curve data? Specifically, identify three regions on the curve.
    • Why does the catch curve have the shape described in the previous question?
    • What are the assumptions of a catch curve model for estimating Z?
    • What R function can be used to efficiently perform a catch curve estimate of Z?
    • What R function is used to extract the estimates of Z and A from this function?
    • What R function is used to extract confidence intervals for Z and A from this function?
  2. Read Miranda and Bettolli (2006) Sections 6.1-6.3 (the complete reading) and consider the items below.
    • What is “mortality”?
    • What is the characteristic shape of catch curve data? Specifically, identify three regions on the curve.
    • Why does the catch curve have the shape described in the previous question?
    • What are the assumptions of a catch curve model for estimating Z?
    • What assumption about recruitment is made for a catch curve? Is this a realistic assumption? How do modest violations of this assumption affect the estimates of Z?
    • How large of a sample is needed for a catch curve analysis?
    • What is a weighted catch-curve analysis?