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New Frameworks for Reconciling Conservation with Fisheries: Incorporating Uncertainty and Ecosystem Processes into Fisheries Management

机译:与渔业协调节约的新框架:将不确定性和生态系统流程纳入渔业管理

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Substantial progress has been made in recent years in the development of decision tools that account for uncertainties. Decision analytic methods, including Bayesian decision analysis, as well as adaptive management and the simulation testing of management strategies, now allow quantitative predictions about the potential consequences of management actions to be made. Decision rules and management frameworks have been developed that are robust to uncertainty and, thus, embody the precautionary approach while seeking to achieve management objectives such as sustaining fisheries yield. These decision support techniques and the management frameworks that use these tools can be very effective and should be applied more widely. One limitation of these methods is that they have generally been applied in the context of single-species management. Given the growing recognition of the importance of taking an ecosystem-based approach to fishery management, it is necessary to develop frameworks, decision tools, and management strategies that are robust to uncertainties at the ecosystem level. The framework of fishery management must be broadened to consider environmental effects, food—web interactions, and the ecological impacts of fishing. The scientific and legal basis for ecosystem-based fisheries management (EBFM) has advanced to the stage that EBFM is a viable framework for current practice.
机译:近年来在制定不确定的决策工具方面取得了实质性进展。决策分析方法,包括贝叶斯决策分析,以及管理策略的自适应管理和模拟测试,现在允许对管理行动的潜在后果进行定量预测。制定了决定规则和管理框架,这是对不确定性的强大,因此,在寻求实现渔业收益率等管理目标的同时,体现了预防性方法。这些决策支持技术和使用这些工具的管理框架可以非常有效,应该更广泛地应用。这些方法的一个限制是它们通常在单种管理的背景下应用。鉴于越来越苛刻对培养基于生态系统的渔业管理方法的重要性,有必要制定对生态系统级别的不确定性强大的框架,决策工具和管理策略。必须扩大渔业管理框架,以考虑环境影响,食品网相互作用和捕鱼的生态影响。基于生态系统的渔业管理(EBFM)的科学和法律依据已经进入了EBFM是目前实践的可行框架的阶段。

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