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来源类型Conference or Workshop Item (UNSPECIFIED)
规范类型其他
Evaluation of harvest control rules: Simple one-parameter vs. complex multi-parameter strategies.
Housholder DJ; Heino M; Fiksen O
发表日期2003
出处ICES CM Documents 2003 - ICES Annual Science Conference, 24-27 September 2003
出版年2003
语种英语
摘要Harvest control rules (HCR) are sets of well-defined rules that can be used for determining annual fish catch quotas. If a management policy can be expressed as a HCR, then the HCR provides means to determine the total allowable catch unambiguously. In order to improve certain aspects of the performance for these rules, rules of increasing complexity have been suggested for fish stocks both in Europe and in North America. But is this complexity necessarily better? Are simple strategies outdated? Traditional harvesting strategies (i.e. constant harvest rate, fixed quota and constant escapement strategies) are simple HCRs with only one control parameter (i.e. target harvest rate, catch and escapement, respectively). Complex harvest control strategies are here defined as a multi-parameter HCR. In this study, three criteria (average catch and its coefficient of variability and risk of population abundance below a minimum acceptable level) are used to judge the performance of traditional and complex HCRs, utilizing a set of stochastic age-structured population models that mimic dynamics of fish populations. The traditional and complex HCRs are then evaluated against each other, paying particular attention to the trade-offs among the performance criteria.
主题Adaptive Dynamics Network (ADN)
关键词Harvest control rules Harvesting strategies Single-parameter Multi-parameter Stochastic population models Stochastic noise Age-structured models
URLhttp://pure.iiasa.ac.at/id/eprint/6993/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/132105
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GB/T 7714
Housholder DJ,Heino M,Fiksen O. Evaluation of harvest control rules: Simple one-parameter vs. complex multi-parameter strategies.. 2003.
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