The statistical properties of recreational catch rate data for some fish stocks off the northeast U.S. coast


Autoria(s): Terceiro, Mark
Data(s)

2003

Resumo

Recreational fisheries in the waters off the northeast U.S. target a variety of pelagic and demersal fish species, and catch and effort data sampled from recreational fisheries are a critical component of the information used in resource evaluation and management. Standardized indices of stock abundance developed from recreational fishery catch rates are routinely used in stock assessments. The statistical properties of both simulated and empirical recreational fishery catch-rate data such as those collected by the National Marine Fisheries Service (NMFS) Marine Recreational Fishery Statistics Survey (MRFSS) are examined, and the potential effects of different assumptions about the error structure of the catch-rate frequency distributions in computing indices of stock abundance are evaluated. Recreational fishery catch distributions sampled by the MRFSS are highly contagious and overdispersed in relation to the normal distribution and are generally best characterized by the Poisson or negative binomial distributions. The modeling of both the simulated and empirical MRFSS catch rates indicates that one may draw erroneous conclusions about stock trends by assuming the wrong error distribution in procedures used to developed standardized indices of stock abundance. The results demonstrate the importance of considering not only the overall model fit and significance of classification effects, but also the possible effects of model misspecification, when determining the most appropriate model construction.

Formato

application/pdf

Identificador

http://aquaticcommons.org/15154/1/15tercei.pdf

Terceiro, Mark (2003) The statistical properties of recreational catch rate data for some fish stocks off the northeast U.S. coast. Fishery Bulletin, 101(3), pp. 653-672.

Idioma(s)

en

Relação

http://aquaticcommons.org/15154/

http://fishbull.noaa.gov/1013/15tercei.pdf

Palavras-Chave #Fisheries #Management
Tipo

Article

PeerReviewed