A stochastic compartmental model for migration of marine shrimp




Grant WE
Matis JH
Miller TH

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This paper demonstrates the application of stochastic compartmental analysis to model migration of a marked population of white shrimp (Penaeus setiferus ) from an estuarine bay along the Texas coast. The authors first develop a stochastic continuous time Markov process model, and fit the model to time series data from a mark-recapture field experiment. The use of mean residence times and other related moments derived from the model in providing additional insight into the kinetics of shrimp migration is illustrated. Finally, the authors suggest extensions to this approach and discuss the general applicability of the approach to other types of ecological questions dealing with animal movement and mortality




analysis, ASW,USA,Texas,Galveston Bay, C CA1.8.6 ECOLOGY, Coastal environments, D 04003 Modeling,mathematics,computer applications, D 04665 Crustaceans, Ecology, fish, Fisheries, Kinetics, management, marking, mathematical models, migration, migrations, models, Mortality, Penaeus setiferus, population dynamics, Q1 01421 Migrations and rhythms, Q1 01583 Shellfish culture, Q1 01601 General, Q3 01583 Shellfish culture, Shrimp fisheries, simulation, stochastic processes, Texas, time series, USA, USA,Texas, White shrimp, Y 25652 Invertebrates (excluding insects), Y 25842 Invertebrates (excluding insects)