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annotated bibliography of fisheries economics literature - Office of ...

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Vaughan, Douglas S. and James R. Waters (1994). "Comparison <strong>of</strong> Weighted<br />

Nonlinear Regressions on the Von Bertalanffy Growth Curve Using<br />

Data with Unequal Numbers at Age." Draft report, National Marine<br />

Fisheries Service, Beaufort Laboratory, 101 Pivers Island Road,<br />

Beaufort, North Carolina.<br />

When estimating parameters <strong>of</strong> the von Bertalanffy growth curve from<br />

length-at-age data for marine fishes, <strong>of</strong>ten most length measurements are from<br />

younger fish, with fewer measurements <strong>of</strong> older fish. Plots <strong>of</strong> observed and<br />

predicted lengths or comparisons <strong>of</strong> the estimated parameter L " with maximum<br />

lengths observed may suggest that poor estimates <strong>of</strong> L " were obtained. In this<br />

study, growth in length <strong>of</strong> individual fish was simulated from a von<br />

Bertalanffy growth curve with known parameters, with the number <strong>of</strong> fish<br />

sampled at each age depending on the instantaneous mortality rate, Z. Methods<br />

<strong>of</strong> weighted nonlinear regression, applied to simulated growth data, included:<br />

(1) unweighted; or weighted by the inverse <strong>of</strong> (2) the numbers <strong>of</strong> fish measured<br />

at each age (1/N i ), (3) the standard error <strong>of</strong> the mean length at each age<br />

(1/SE i ), and (4) the estimated standard deviation in length at each age (1/Ã ).<br />

Less accurate and precise estimates <strong>of</strong> L " and K were obtained with increasing<br />

Z for all weighting methods; except for large K, when more accurate parameter<br />

estimates were obtained with increasing Z. Weighting by 1/N i yielded more<br />

precise estimates <strong>of</strong> the growth parameter than the other weighting methods.<br />

In practice, the advice <strong>of</strong> looking for patterns in the residuals should be<br />

followed before making the final choice among estimation methods.<br />

Vaughan, Douglas S., Joseph E. Powers, and Gerald P. Scott (1990).<br />

"Preliminary Production Model Analysis <strong>of</strong> the North Atlantic<br />

Swordfish Resource." ICCAT Working Document, SCRS/90/, U.S.<br />

Department <strong>of</strong> Commerce, National Oceanic and Atmospheric<br />

Administration, National Marine Fisheries Service, Southeast<br />

Fisheries Center, Beaufort Laboratory, Beaufort, North Carolina.<br />

The status <strong>of</strong> the North Atlantic swordfish resource is considered using<br />

production model analysis. Sensitivity <strong>of</strong> the production model fits to stock<br />

hypotheses, model parameters, and equilibrium assumptions as well as error in<br />

measures <strong>of</strong> effective effort are considered in the analysis. When the catch<br />

and effort time series is <strong>of</strong> short duration compared to the life span <strong>of</strong> the<br />

fish species (as with swordfish), simulation results suggest that traditional<br />

production model fits to data representing non-equilibrium (transitional)<br />

conditions in a fishery may give spurious results and can form a poor basis<br />

for management decisions.<br />

Vaughan, Douglas S., John V. Merriner, Charles S. Manooch III, and<br />

Jennifer Potts (1995). "Assessment <strong>of</strong> Southeastern U.S. Atlantic<br />

Wreckfish Stock for Fishing Years 1988-1994." Report for Snapper<br />

Grouper Assessment Group, South Atlantic Fishery Management<br />

Council, National Marine Fisheries Service, Southeast Fisheries<br />

Science Center, Beaufort Laboratory, 101 Pivers Island Road,<br />

Beaufort, North Carolina, January, 32 pp.<br />

The material included in this report updates that provided in the<br />

February 1994 report (Vaughan it al., 1994) to the South Atlantic Fishery<br />

Management Council's (SAFMC) Snapper Grouper Assessment Group. Included are<br />

the latest analysis <strong>of</strong> length at age data, a summary <strong>of</strong> landings and length<br />

frequency data from the fishery for 1988 through 1994 fishing years,<br />

application <strong>of</strong> separable virtual population analysis to two catch at age<br />

matrices, and analysis <strong>of</strong> yield and spawning stock biomass per recruit.<br />

Appendix A presents a sensitivity analysis <strong>of</strong> the VPA by including limited<br />

data recently obtained from the eastern North Atlantic. Complete landings for<br />

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