Grant WEMatis JHMiller THEcological Modelling2010-02-152010-02-151991http://hdl.handle.net/1969.3/230681-15This 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 mortalityanalysisASW,USA,Texas,Galveston BayC CA1.8.6 ECOLOGYCoastal environmentsD 04003 Modeling,mathematics,computer applicationsD 04665 CrustaceansEcologyfishFisheriesKineticsmanagementmarkingmathematical modelsmigrationmigrationsmodelsMortalityPenaeus setiferuspopulation dynamicsQ1 01421 Migrations and rhythmsQ1 01583 Shellfish cultureQ1 01601 GeneralQ3 01583 Shellfish cultureShrimp fisheriessimulationstochastic processesTexastime seriesUSAUSA,TexasWhite shrimpY 25652 Invertebrates (excluding insects)Y 25842 Invertebrates (excluding insects)Journal