Catch estimation in the presence of declining catch rate due to gear saturation.
One strategy for estimating total catch is to employ two separate surveys that independently estimate total fishing effort and catch rate with the estimator for total catch formed by their product. Survey designs for estimating catch rate often involve interviewing the fishermen during their fishing episodes. Such roving designs result in incomplete episode data and characteristically have employed a model in which the catch rate is assumed to be constant over time. This article extends the problem to that of estimating total catch in the presence of a declining catch rate due, e.g., to gear saturation. Using a gill net fishery as an example, a mean-of-ratios type of estimator for the catch rate together with its variance estimator are developed. Their performance is examined using simulations, with special attention given to effects of restrictions on the roving survey window. Finally, data from a Fraser River gill net fishery are used to illustrate the use of the proposed estimator and to compare results with those from an estimator based on a constant catch rate.
Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada.
P C
PC
Dauk
C J
CJ
Schwarz
D000818:Animals; D001699:Biometry; D001955:British Columbia; D003198:Computer Simulation; D005398:Fisheries / Q000706:statistics & numerical data*; D005399:Fishes; D005618:Fresh Water; D015233:Models, Statistical; D013997:Time Factors