Dynamic Stochastic Adaptive Bioeconomic Model of Offshore Bluefin Tuna Aquaculture

Effect of Ration and Size Heterogeneity on Harvest Time: Tilapia Culture in Yucatan, Mexico

“…In economic studies, size heterogeneity in aquaculture is usually treated by assuming stochastic growth in individuals (e.g., Griffin & Thacker, 1994;Martínez & Seijo, 2001;Shamshak & Anderson, 2009;Sánchez-Zazueta & Martínez-Cordero, 2009). Management recommendations can be extrapolated from this model type using Monte Carlo simulations of the stochastic bioeconomic model to generate final probability distributions for production and economic yield (Seijo, 2004;Shamshak & Anderson, 2009).…”

“…Management recommendations can be extrapolated from this model type using Monte Carlo simulations of the stochastic bioeconomic model to generate final probability distributions for production and economic yield (Seijo, 2004;Shamshak & Anderson, 2009). Alternatively, application of deterministic models incorporating size heterogeneity produces general theoretical results on optimum culture management.…”

Growth and survival model of Pacific bluefin tuna ( Thunnus orientalis ) for capture‐based aquaculture in Mexico

“…One example is the use of growth rates for Mexican production. Another approach is the equation used by Shamshak and Anderson () and Shamshak () to describe growth in Thunnus thynnus, parameterized with data from rearing procedures in Croatia. This equation describes growth as a linear process that acts according to feed ration, which is in turn affected by temperature; this mathematical strategy is useful to accurately describe sections of the growth curve (Dumas, France, & Bureau, ; Hopkings, ).…”

“…Similarly, historical pen performance data are the foundation for survival forecast. Moreover, no parameterized equation is available to explain the survival dynamics throughout the grow‐out process (Shamshak & Anderson, ), making it difficult to perform accurate biomass projections at a given pen over time.…”

Modelo explicativo de la rentabilidad de las empresas de piscicultura marina. Aplicación empírica a la cría de dorada (Sparus aurata) y lubina (Dicentrarchus labrax) en España

“…La revisión de la literatura científica sobre piscicultura ha permitido identificar un importante número de trabajos que utilizan la rentabilidad de la actividad como indicador del efecto económico del factor analizado, entre los que cabe destacar los que la utilizan para analizar: el rendimiento económico de diferentes tipos de alimentación (Urban Jr. y Pruder, 1991;Moñino et al, 2002;Sánchez Lozano et al, 2007;Petersen et al, 2011), la viabilidad económica de la explotación comercial de una especie o producto (Oca et al, 2002;Jeffs y Hooker, 2000;Keys et al, 2004;PootLópez y Gasca-Leyva, 2009;Shamshak y Anderson, 2009;García y García, 2010;Zúñiga, 2010), y el impacto que tienen las condiciones ambientales (Hatch et al, 1998;León et al, 2006;Hernández et al, 2007), el sistema de producción (Losordo y Westerman, 1994;Thongrak et al, 1997;Goode et al, 2002;Lever et al, 2004;Taylor et al, 2006;Liu;Sumaila, 2007y Buck et al, 2010 o la localización de la explotación (Moksness et al, 1998;Gasca-Leyva et al, 2002;Irz y McKenzie, 2003;Bozoglu y Ceyhan, 2009;Miao et al, 2009;Petersen y Phuong, 2010;Huang et al, 2011) sobre el resultado económico del proceso de cultivo.…”