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I SIMPOSIO IBEROAMERICANO DE ECOLOGÍA REPRODUCTIVA, RECLUTAMIENTO Y PESQUERÍAS Concluimos que z no puede ser distinguida estadísticamente entre campañas y estratos con los métodos utilizados en este estudio. La única significación encontrada procede del ruido de las campañas que tienen z positiva. Además las estimas obtenidas si contemplamos una mayor estratificación no resultaron mejores. Tampoco la temperatura ha producido un resultado significativo ni con sentido biológico. Por lo tanto, aunque la hipótesis nula es que z es diferente entre estratos y años, este cambio es tan pequeño que con los métodos utilizados no hay potencia estadística para su estimación. Siendo la conclusión de este estudio es que la z media interanual resultó ser la mejor estima de z. Referencias Bernal, M (2007). PhD Thesis. Modelling the abundance, distribution and production of sardine (Sardina pilchardus, Walb.) eggs in the Iberian Peninsula” Chapter 5. ”Egg mortality estimates” ICES. (2009). Report of the Working Group on Anchovy and Sardine (WGANSA), 15 -20 June 2009, ICES Headquarters, Copenhagen. Diane Lindemann. 303 pp. Stock Annex – Bay of Biscay Anchovey (Subarea VIII) (270-297) Lasker, R. (ed.).(1985). An egg production method for estimating spawning biomass of pelagic fish: application to the northern anchovy, Engraulis mordax. U.s. dep. commer., NOAA Tech. Rep., nMFs 36.luo, J. and J. Musick. Smith, P. E. (1973). The mortality and dispersal of sardine eggs and larvae. Rapp. P.-v. Reun. Cons. mt. Explor. Mer 164: 282-291. Stratoudakis, Y., Bernal, M., Ganias, K., and Uriarte, A. (2006). The daily egg production method (DEPM): recent advances, current applications and future challenges. Fish and Fisheries, 7: 35–57. 180 Sesión 3:Procesos de reclutamiento
I SIMPOSIO IBEROAMERICANO DE ECOLOGÍA REPRODUCTIVA, RECLUTAMIENTO Y PESQUERÍAS Cumulative chage in P0 0% -5% -10% -15% -20% -25% -30% Quantile of incubation Temperature defining the cutting maximum age 0 0.5 0.6 0.7 0.8 0.9 0.95 0.975 1 Dif%con_0 de P0 Figura 1. Sensibilidad de P0 a distintos límites superiores de corte Tabla 1. Ejemplo de modelos ajustados utilizando modelos lineales generalizados. Code Model for P0 Model for Z % Dev. AIC m19 Survey*Nsew (Nsew*Survey)+age 0.9255 66943 m18 Survey*Nsew (Nsew+Survey) + age 0.9251 66923 m17 Survey*Nsew Nsew + age 0.9249 66944 m16 Survey*Nsew Survey + age 0.9250 66933 m5 Survey*Nsew cte 0.9238 66946 181 Sesión 3:Procesos de reclutamiento
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Enero 2000 Enero 2005/07 Marzo 2006
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Humedad (%) 83,0 82,5 82,0 81,5 81,
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Número relativo de emigrantes (Nm)
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