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

被引:36
|
作者
Petrere Jr, M. [1 ]
Giacomini, H. C. [1 ]
De Marco Jr, P. [2 ]
机构
[1] Univ Estadual Paulista Julio Mesquita Filho UNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil
[2] Univ Fed Goias, Lab Ecol Teor & Sintese, Dept Biol Geral, BR-74001970 Goiania, Go, Brazil
关键词
CPUE; probability distributions; accuracy; Jackknife; Monte Carlo; RELATIVE ABUNDANCE; DELTA-DISTRIBUTION;
D O I
10.1590/S1519-69842010005000010
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页码:483 / 491
页数:9
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