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Fisheries Ecology and Management
Carl J. Walters & Steven J. D. Martell

Book Description | Reviews
Chapter 1 [in PDF format]

TABLE OF CONTENTS:

LIST OF FIGURES xi
LIST OF TABLES xvii
PREFACE xix
ACKNOWLEDGMENTS xxi

PART ONE: CHANGING OBJECTIVES AND EMERGING ASSESSMENT METHODS 1

CHAPTER 1: Introduction 3
1.1 The Role of Predictive Models 3
1.2 The Distinction between Fish Science and Fisheries Science 5
1.3 Approaches to Prediction of Policy Impact 6
1.4 Experimental Management 9
1.5 The Ecological Basis of Sustainable Harvesting 12
CHAPTER 2: Trade-Offs in Fisheries Management 20
2.1 Trade-Off Relationships and Policy Choices 22
2.2 Short-Term versus Long-Term Values 25
2.3 Biological Diversity versus Productivity 31
2.4 Economic Efficiency versus Diversity of Employment Opportunities 37
2.5 Allocation of Management-Agency Resources 39

PART TWO: ELEMENTARY CONCEPTS IN POPULATION DYNAMICS AND HARVEST REGULATION 41

CHAPTER 3: Strategic Requirements for Sustainable Fisheries 43
3.1 Harvest Optimization Models 46
3.2 Constructing Feedback Policies 49
3.3 Feedback Policy Implementation 58
3.4 Feedback Policies for Incremental Quota Change 61
3.5 Actively Adaptive Policies 63
CHAPTER 4: Tactics for Effective Harvest Regulation 65
4.1 Tactical Options for Limiting Exploitation Rates 67
4.2 Managing the Risk of Depensatory Effects under Output Control 69
4.3 Tactics for Direct Control of Exploitation Rates 74
4.4 Regulation of Exploitation Rates in Recreational Fisheries 77
4.5 In-Season Adaptive Management Systems 79
4.6 Monitoring Options and Priorities 80
4.7 Maintaining Genetic Diversity and Structure in Harvested Populations 83

PART THREE: USE AND ABUSE OF SINGLE-SPECIES ASSESSMENT MODELS 87

CHAPTER 5: An Overview of Single-Species Assessment Models 89
5.1 Objectives of Single-Species Assessment 89
5.2 State-Observation Components 91
5.3 Estimation Criteria and Measuring Uncertainty 95
5.4 Modeling Options 101
5.5 Using Composition Information 110
5.6 Dealing with Parameters That Aren't 121
CHAPTER 6: Foraging Arena Theory (I)124
6.1 Beverton-Holt Model for Stock-Recruitment 128
6.2 Alternative Models Based on Juvenile Carrying Capacity 132
6.3 Using Foraging Arena Arguments to Derive the Beverton-Holt Model 136
6.4 Implications for Recruitment Research and Prediction 147
CHAPTER 7: Problems in the Assessment of Recruitment Relationships 151
7.1 Which Parameters Matter? 152
7.2 Predicting Reproductive Performance at Low Stock Sizes 158
7.3 Predicting Capacity to Recover from Historical Overfishing 160
7.4 The Errors-in-Variables Bias Problem 162
7.5 The Time-Series Bias Problem 165
7.6 Can Statistical Fisheries Oceanography Save the Day? 173

PART FOUR: MODELING SPATIAL PATTERNS AND DYNAMICS IN FISHERIES 179

CHAPTER 8: Spatial Population Dynamics Models 181
8.1 Life-History Trajectories 182
8.2 Multistage Models 185
8.3 Eulerian Representation 188
8.4 Lagrangian Representation 193
8.5 Policy Gaming with Spatial Models 198
CHAPTER 9: Temporal and Spatial Dynamics of Fishing Effort 200
9.1 Long-Term Capacity 201
9.2 Short-Term Effort Responses 204
9.3 Spatial Allocation of Fishing Effort 210
9.4 Mosaic Closures 223

PART FIVE: FOOD WEB MODELING TO HELP ASSESS IMPACT OF FISHERIES ON ECOLOGICAL SUPPORT FUNCTIONS 229

CHAPTER 10: Foraging Arena Theory (II)231
10.1 Understanding Foraging Arena Theory 232
10.2 Predicting Trophic Flows 236
10.3 Adding Realism (I): Foraging Time Adjustments 240
10.4 Adding Realism (II): Trophic Mediation 244
10.5 Ecosim 246
10.6 Representing Trophic Ontogeny in Ecosim 248
10.7 Single-Species Dynamics from Ecosim Rate Equations 252
10.8 Ecosystem-Scale Variation 254
CHAPTER 11: Options for Ecosystem Modeling 256
11.1 Qualitative Analysis of Dominant Trophic Interactions 259
11.2 Qualitative Analysis of More Complex Linkages 270
11.3 Models That Link Dynamics with Nutrient Cycling Processes 271
11.4 Representation of Mesoscale Spatial-Policy Options 276
11.5 Individual-Based Size-and Space-Structured Models 283
CHAPTER 12: Parameterization of Ecosystem Models 286
12.1 Parameterizing Models 287
12.2 Parameter Estimates from Experimental Data 289
12.3 Estimating Parameters from Mass Balance Snapshots 292
12.4 Challenging Ecosystem Models with Data 300

PART SIX: STRATEGIES FOR ECOSYSTEM MANAGEMENT 311

CHAPTER 13: Marine Enhancement Programs 313
13.1 Things That Can Go Wrong 317
13.2 Critical Steps in Enhancement Program Design 326
13.3 Monitoring and Experimental Requirements 331
CHAPTER 14: Options for Sustainable Ecosystem Management 334
14.1 Alternative Visions of Ecosystem Structure 335
14.2 Moving Toward Sustainable Ecosystem Management 344
APPENDIX: Definitions for Mathematical Symbols 349
BIBLIOGRAPHY 355
INDEX 381

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File created: 11/11/2014

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