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Author:   Lee G. Anderson (University of Delaware, USA) ,  Juan Carlos Seijo (Marista University, Mexico)
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell
Dimensions:   Width: 17.80cm , Height: 2.10cm , Length: 25.20cm
Weight:   0.807kg
ISBN:  

9780813817323

ISBN 10:   0813817323
Pages:   320
Publication Date:   23 April 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock  

Table of Contents

Preface ix Acknowledgments xi 1 Introduction 3 1.1 Why is fisheries management and regulation needed? 3 1.2 The social trap and free rider behavior in fisheries 5 1.3 Stock fluctuations due to natural causes 5 1.4 Fisheries Bioeconomics 6 References 10 2 Fundamentals of fisheries Bioeconomics 11 2.1 Introduction 11 2.2 The Schaefer logistic growth model 12 2.3 Schaeffer logistic growth with harvest 15 2.4 A more formal analysis of commercial harvest 17 2.5 The basic Bioeconomic model 21 2.6 Deriving revenue and cost functions 21 2.7 Static maximum economic yield 24 2.8 Open access utilization of a fishery 25 2.9 Postscript on structural change under open access 28 References 29 3 Open access dynamics 31 3.1 Introduction 31 3.2 Bioeconomic equilibrium 31 3.3 The process of obtaining an equilibrium 34 3.4 Bioeconomic equilibrium in a disaggregated model 39 4 Optimal dynamic utilization 51 4.1 Introduction 51 4.2 The general model with nonlinear yield functions 53 4.3 Formal analysis of optimal dynamic utilization 59 4.4 Interpretation of the Golden Rule 63 References 71 5 Age-structured Bioeconomic model 73 5.1 Introduction 73 5.2 The age-class Bioeconomic model 76 5.3 The details of the age-class Bioeconomic model 81 5.4 Biological analysis with age class model 87 5.5 Population dynamics in age-class models 93 5.6 Bioeconomic analysis with age-class models 97 References 102 6 The fisheries management process 105 6.1 Introduction 105 6.2 The paradigm of modern fisheries management 105 6.3 Historical perspective on the development of the paradigm 107 6.4 The specification of harvest control rules 109 6.5 Limit and target harvests 112 6.6 Monte Carlo results with scientific uncertainty 114 6.7 Monte Carlo results with scientific and implementation uncertainty 115 References 118 7 Economic analysis of fishery regulation 121 7.1 Introduction 121 7.2 Introduction of regulation discussion 126 7.3 Open access regulations 128 7.4 Limited-access regulation 159 References 177 8 Bioeconomics of ecosystem interdependencies 181 8.1 Current challenges of the ecosystems approach to fisheries 183 References 187 9 Ecological and technological interdependencies 189 9.1 Implicit form equations 190 9.2 Growth functions of ecologically interdependent species 190 9.3 Case 1: competition – the Lotka–Volterra model 194 9.4 Case 2: Bioeconomics of predator–prey interdependencies 203 9.5 Case 3: fleets with heterogeneous fishing power and unit costs of effort competing for a stock 211 9.6 Case 4: multispecies and multifleet fishery – a fleet harvesting incidentally target species of another fishery 217 9.7 Case 5: sequential technological interdependencies of small-scale and industrial fleets – an age-structured model 224 9.8 An age-structured sequential Bioeconomic model 225 References 229 10 Spatial management of fisheries 231 10.1 Spatially distributed population of a single stock 233 10.2 Distance from port to alternative fishing sites 236 10.3 Spatial fishing behavior 237 10.4 Spatial management of fisheries 244 10.5 A metapopulation with source–sink configuration 248 10.6 A Bioeconomic model for source–sink configurations 249 10.7 Migration in spatial models of fisheries 251 10.8 Final remarks 253 References 253 11 Seasonality and long-term fluctuating stock 257 11.1 Introduction 257 11.2 Modeling recruitment seasonality 258 11.3 Optimum allocation of seasonal effort 260 11.4 Long-term patterns in small pelagic fisheries 261 11.5 Long-term pattern of fluctuating environmentally driven recruitment 265 References 269 12 Dealing with risk and uncertainty 271 12.1 Cimate change increases uncertainty in marine fisheries 272 12.2 Indicators, reference points, and control law 274 12.3 Case 1: selecting adequate vessel size for a stock fluctuating fishery 276 12.4 Bayesian criterion 277 12.5 Decision criteria without mathematical probabilities 277 12.6 Case 2: stock recovery strategies of a multifleet fishery with alternative biomass LRPs 280 12.7 Probability of exceeding a spawning stock LRP in the stock recovery process 283 References 284 Appendices 287 1 Spatial dynamics of the fishery for three possible strategies of spatial behavior of fishers 287 2 Modelling recruitment seasonality 291 3 Summary of model equations and Bioeconomic parameter sets 293 Index 297

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Lee G. Anderson is Maxwell P. and Mildred H. Harrington Professor of Marine Policy in the College of Earth, Ocean, and Environment and Professor of Economics at the University of Delaware. Juan Carlos Seijo is Director of Research and Professor of the School of Natural Resources at Universidad Marista de Merida.

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