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Rethinking marine conservation strategies to minimize socio-economic costs in a dynamic perspective

机译:重新思考海洋保护策略,以最大限度地减少动态视角下的社会经济成本

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How to minimize socio-economic costs placed on local fishing communities by marine reserves is a widespread concern in the global conservation planning practices. One prevailing solution is to generate cost-minimizing marine conservation strategies using static spatial prioritization tools. However, there is a need to understand the social-ecological impacts of considering dynamics. We applied a grid-based dynamic model with biological and fleet sub-models, and examined the social-ecological effects of three cost-minimizing conservation strategies over a 20-year planning horizon (medium term), incorporating dynamics in fish populations and fisher behaviors, and associated uncertainties. This study shows a trade-off among cost minimization conservation strategies between conservation and socio-economic benefits. Estimated opportunity costs were different between static and dynamic methods, highlighting the necessity to include dynamic costs as an extra source in decision-making. We caution that relying solely on opportunity costs as the criterion to guide conservation practices can be misleading as it may fail to reflect overarching social-ecological objectives. The study contributes to a further understanding of prevailing strategies' potentials and limitations, and equips practitioners with a dynamic perspective to choose the best conservation strategy.
机译:如何通过海洋储备将在当地渔业社区放大的社会经济成本是全球保护计划实践的广泛关注。一个现行的解决方案是使用静态空间优先级化工具产生成本最小化海洋保护策略。但是,需要了解考虑动态的社会生态影响。我们用生物和舰队子模型应用了基于网格的动态模型,并在20年的规划地平线(中期)中,介绍了三种成本最小化保护策略的社会生态影响,纳入了鱼群和Fisher行为中的动态,以及相关的不确定性。本研究表明,保护和社会经济福利之间的成本最小化保护策略之间的权衡。静态和动态方法之间的估计机会成本不同,突出了必要的必要性,将动态成本作为决策中的额外来源。我们谨慎,仅仅依赖机会成本作为指导保护实践的标准可能会误导,因为它可能无法反映总体社会生态目标。该研究有助于进一步了解普遍的战略潜力和限制,并以动态视角为从业者提供最佳保护策略。

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