首页> 外文会议>International Workshop on the Implementation of International Fisheries and Factors of Unsustainability and Overexploitation in Fisheries >A SIMPLE FRAMEWORK FOR PROACTIVE MANAGEMENT TO MITIGATE UNSUSTAINABILITY IN FISHERIES: ESTIMATING RISKS OF EXCEEDING LIMIT REFERENCE POINTS OF BIO-ECOLOGIC, ECONOMIC AND SOCIAL INDICATORS
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A SIMPLE FRAMEWORK FOR PROACTIVE MANAGEMENT TO MITIGATE UNSUSTAINABILITY IN FISHERIES: ESTIMATING RISKS OF EXCEEDING LIMIT REFERENCE POINTS OF BIO-ECOLOGIC, ECONOMIC AND SOCIAL INDICATORS

机译:用于减轻渔业不可持续性的主动管理的简单框架:估算超出生物生态,经济和社会指标的限制参考点的风险

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The complexities of managing a marine fishery involving high exclusion costs, and high information and enforcement costs, are presented together with a set of mitigating strategies to deal with them. Designing intelligent management plans for marine fisheries require assessing fishery performance over time through the use of sustainability indicators; limit reference points (LRPs) and the corresponding control law to generate proactively management strategies when estimated risks are perceived as toohigh by the decision-maker. To account for natural variability and other sources of uncertainly, estimates of risks of exceeding LRPs are needed to re-evaluate periodically the fishery and establish new reference points and corresponding management strategies. This paper concentrates on this aspect of the precautionary management process through the use of a simple framework to deal with unsustainability factors affecting fishery performance over time. It presents a classification of bio-ecologic, economic/social and institutional indicators of critical unsustainability factors previously identified. The major steps used in the application of the Monte Carlo method to estimate the risks of exceeding limit reference points are introduced. The need forconsidering data collection, advanced modelling and risk analysis for the use of sustainability indicators and reference points within the ecosystem based fishery management approach (EBFM), is also discussed.
机译:管理涉及高排除成本的海洋渔业的复杂性以及高信息和执法成本,并与其处理的一系列减轻策略一起举办。设计海洋渔业的智能管理计划需要通过使用可持续性指标随着时间的推移评估渔业性能;限制参考点(LRP)和相应的控制法,以在决策者被认为的估计风险被认为是TOVIGH的估计风险时产生积极的管理策略。要考虑到自然变异性和不确定的来源,需要超出LRP的风险估计,以便定期重新评估渔业并建立新的参考点和相应的管理策略。本文通过使用简单的框架来处理影响渔业性能随着时间的推移的不可持续性因素,专注于预防性管理过程的这一方面。它提出了先前确定的批判性不可持续性因素的生物生态,经济/社会和机构指标的分类。介绍了蒙特卡罗方法应用于估算超出极限参考点的风险的主要步骤。还讨论了在基于生态系统的渔业管理方法(EBFM)中使用可持续性指标和参考点的数据收集,高级建模和风险分析,以及在生态系统的渔业管理方法(EBFM)中。

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