Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile

The recruitment rate was modeled in relation to spawning biomass and to sea surface temperature (SST) for the jack mackerel (Trachurus murphyi) population off the Chilean coast using the Ricker model. Data regarding recruitment and spawning biomass were obtained from indirect stock assessment models...

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Autores principales: Espíndola,Fernando, Quiroz,Juan Carlos, Wiff,Rodrigo, Yáñez,Eleuterio
Lenguaje:English
Publicado: Universidad de Valparaíso. Facultad de Ciencias del Mar 2016
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572016000100013
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spelling oai:scielo:S0718-195720160001000132016-06-24Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off ChileEspíndola,FernandoQuiroz,Juan CarlosWiff,RodrigoYáñez,Eleuterio Generalized additive models stock-recruitment relationships SST non-parametric The recruitment rate was modeled in relation to spawning biomass and to sea surface temperature (SST) for the jack mackerel (Trachurus murphyi) population off the Chilean coast using the Ricker model. Data regarding recruitment and spawning biomass were obtained from indirect stock assessment models from 1975 to 2001, while annual time series of SST were collected from the meteorological stations placed along the Chilean coast by the National Center of Hydrographic and Oceanographic Data (CENDHOC). The standard Ricker model was thus modified as follows: (1) the SST temporal series was included as a linear predictor; (2) the SST temporal series was modeled through smoothing functions; and (3) spawning biomass and SST temporal series were both modeled using smoothing functions. The resulting models were compared with the standard Ricker model without SST. Model selection was carried out using automatic information criteria (AIC). Including SST improved the fit of the recruitment model, despite the penalty of an additional term and a possible additional source of variability. The best model resulting includes the SST temporal series with smoothing functions and the spawning biomass with parametric functions, with a goodness-of-fit of 90%. Incorporating an environmental variable into stock-recruitment relationships may be a promising method for simultaneously considering effects from fishing and the environment, and is particularly relevant for managing fisheries in light of climate change.info:eu-repo/semantics/openAccessUniversidad de Valparaíso. Facultad de Ciencias del MarRevista de biología marina y oceanografía v.51 n.1 20162016-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572016000100013en10.4067/S0718-19572016000100013
institution Scielo Chile
collection Scielo Chile
language English
topic Generalized additive models
stock-recruitment relationships
SST
non-parametric
spellingShingle Generalized additive models
stock-recruitment relationships
SST
non-parametric
Espíndola,Fernando
Quiroz,Juan Carlos
Wiff,Rodrigo
Yáñez,Eleuterio
Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile
description The recruitment rate was modeled in relation to spawning biomass and to sea surface temperature (SST) for the jack mackerel (Trachurus murphyi) population off the Chilean coast using the Ricker model. Data regarding recruitment and spawning biomass were obtained from indirect stock assessment models from 1975 to 2001, while annual time series of SST were collected from the meteorological stations placed along the Chilean coast by the National Center of Hydrographic and Oceanographic Data (CENDHOC). The standard Ricker model was thus modified as follows: (1) the SST temporal series was included as a linear predictor; (2) the SST temporal series was modeled through smoothing functions; and (3) spawning biomass and SST temporal series were both modeled using smoothing functions. The resulting models were compared with the standard Ricker model without SST. Model selection was carried out using automatic information criteria (AIC). Including SST improved the fit of the recruitment model, despite the penalty of an additional term and a possible additional source of variability. The best model resulting includes the SST temporal series with smoothing functions and the spawning biomass with parametric functions, with a goodness-of-fit of 90%. Incorporating an environmental variable into stock-recruitment relationships may be a promising method for simultaneously considering effects from fishing and the environment, and is particularly relevant for managing fisheries in light of climate change.
author Espíndola,Fernando
Quiroz,Juan Carlos
Wiff,Rodrigo
Yáñez,Eleuterio
author_facet Espíndola,Fernando
Quiroz,Juan Carlos
Wiff,Rodrigo
Yáñez,Eleuterio
author_sort Espíndola,Fernando
title Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile
title_short Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile
title_full Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile
title_fullStr Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile
title_full_unstemmed Incorporating sea surface temperature into the stock-recruitment relationship: Applications to jack mackerel (Trachurus murphyi) off Chile
title_sort incorporating sea surface temperature into the stock-recruitment relationship: applications to jack mackerel (trachurus murphyi) off chile
publisher Universidad de Valparaíso. Facultad de Ciencias del Mar
publishDate 2016
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572016000100013
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