Modelling and quantitative methods in fisheries

摘要: Fisheries and Modelling Fish Population Dynamics The Objectives of Stock Assessment Characteristics Mathematical Models Types Model Structure Simple Introduction Assumptions-Explicit Implicit Density-Independent Growth Density-Dependent Responses to Fishing Pressure Logistic in Age-Structured Yield-per-Recruit Parameter Estimation Data Least Squared Residuals Nonlinear Likelihood Bayes' Theorem Concluding Remarks Computer-Intensive Methods Resampling Randomization Tests Jackknife Bootstrapping Monte Carlo Bayesian Relationships between Computer Programming Hypothesis Testing Structured Statistical Bootstrap Pseudo Values Statistics Confidence Intervals Practical Requirements A Non-Equilibrium Catch Curve Characterization Uncertainty Asymptotic Standard Errors Percentile Using Likelihoods Profile Profiles for Outputs Markov Chain (MCMC) Conclusion Individuals Size von Bertalanffy Alternatives Comparing Curves Recruitment Biology Beverton-Holt Ricker Deriso's Generalized Residual Error Impact Measurement Environmental Influences Surplus Production Equilibrium Observation Estimates Beyond Risk Projections Considerations Conclusions Cohort Analysis Catch-at-Age Size-Based Appendix: Use Excel Bibliography Index