Catch-per-unit-effort: which estimator is best?

Brazilian Journal of Biology

M. Petrere Jr.¹  Hc. Giacomini¹  P. De Marco Jr.² 

[1] ,Universidade Estadual Paulista Júlio de Mesquita Filho Departamento de Ecologia Rio Claro SP ,Brazil

关键词: CPUE;    probability distributions;    accuracy;    Jackknife;    Monte Carlo;    CPUE;    distribuições de probabilidade;    acurácia;    Jackknife;    Monte Carlo;   

DOI  :  10.1590/S1519-69842010005000010

来源: SciELO

【 摘 要 】

In this paper we examine the accuracy and precision of three indices of catch-per-unit-effort (CPUE). We carried out simulations, generating catch data according to six probability distributions (normal, Poisson, lognormal, gamma, delta and negative binomial), three variance structures (constant, proportional to effort and proportional to the squared effort) and their magnitudes (tail weight). The Jackknife approach of the index is recommended, whenever catch is proportional to effort or even under small deviations from proportionality assumption, when a ratio estimator is to be applied and little is known about the underlying behaviour of variables, as is the case for most fishery studies.

【 授权许可】

CC BY   
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