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These are the proceedings of the Second R. Yorque Workshop on Resource Management which took place in Ashland, Oregon on July 23-25, 1984. The purpose of the workshop is to provide an informal atmosphere for the discussion of resource assessment and management problems. Each participant presented a one hour morning talk; afternoons were reserved for informal chatting. The workshop was successful in stimulating ideas and interaction. The papers by R. Deriso, R. Hilborn and C. Walters all address the same basic issue, so they are lumped together. Other than that, the order to the papers in this volume was determined in the same fashion as the order of speakers during the workshop -- by random draw. Marc Mangel Department of Mathematics University of California Davis, California June 1985 TABLE OF CONTENTS A General Theory for Fishery Modeling Jon Schnute Data Transformations in Regression Analysis with Applications to Stock-Recruitment Relationships David Ruppert and Raymond J. Carroll ------. --. --. . ---------------. - 29 A Conceptual Model for Multispecies, Multifleet Fisheries Wayne M. Getz, Gordon L. Swartzman, and Robert C. Francis . --. ---. --- 49 Risk Adverse Harvesting Strategies Richard Der iso . . -. . ----. . -. . . . . . . . ------. -. . . . . -. --. ---------. -. --- 65 A Comparison of Harvest Policies for Mixed Stock Fisheries Ray Hilborn . . -------. --. --. ------. ------------. . ------. . . . . ------. . - 75 Pathological Behavior of Managed Populations When Production Relationships are Assessed from Natural Experiments Carl J. Walters------. ----------. -. --. ------. -. ----------. -----. . .
Table des matières
A General Theory for Fishery Modeling.- Data Transformations in Regression Analysis with Applications to Stock-Recruitment Relationships.- A Conceptual Model for Multispecies, Multifleet Fisheries.- Risk Adverse Harvesting Strategies.- A Comparison of Harvest Policies for Mixed Stock Fisheries.- Pathological Behavior of Managed Populations When Production Relationships are Assessed from Natural Experiments.- Search Models in Fisheries and Agriculture.
