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Simulating trade-offs between socio-economic and conservation objectives for Lake Victoria (East Africa) using multispecies, multifleet ecosystem models

机译:使用多层经济型,Multifleet生态系统模型模拟维多利亚湖(东非)社会经济和保护目标之间的权衡

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Most small scale inland fisheries worldwide are open access, and fishing provides the only source of employment and livelihood for the riparian communities. Management of these fisheries requires information on trade-offs between fish production, profits from fishing, employment, and conservation objectives. We use the non-linear optimization procedure in Ecopath with Ecosim (EwE) modelling package to determine long-term, gear-specific fishing effort that can maximize economic, social, and conservation objectives for Lake Victoria (East Africa). Then, the resulting "optimal fishing effort" levels are applied in both EwE and Atlantis models to simulate longterm changes in the ecosystem. Results show profit maximization to be more compatible with conservation objectives than is the maximization of catch (or employment). However, maximizing economic value, while maintaining ecosystem structure, would require a reduction in fishing effort of almost every fishing gear. This trade-off can be severe (high social cost) for fishing communities with limited alternative livelihoods. This study provides an understanding of relative risks and benefits of various management objectives, which will enable stakeholders and the public to conduct informed discussions on future management policies.
机译:全球大多数小型内陆渔业是开放的,捕鱼为河岸社区提供唯一的就业和生计来源。这些渔业的管理需要有关鱼类生产之间的权衡的信息,捕鱼,就业和保护目标之间的利润。我们使用EcoPATH中的非线性优化程序与ECOSIM(eWE)建模包来确定长期的齿轮特定捕捞努力,可以最大限度地提高维多利亚湖(东非)的经济,社会和保护目标。然后,在eWE和亚特兰蒂斯模型中应用了所产生的“最佳捕捞工作”水平,以模拟生态系统的Longterm变化。结果表明,利润最大化与保护目标更加兼容,而不是捕获(或就业)的最大化。然而,最大化经济价值,同时保持生态系统结构,需要减少几乎每个渔具的钓鱼努力。对于具有有限的替代生计的渔业社区,这种权衡可能是严重的(高社会成本)。本研究对各种管理目标的相对风险和利益提供了理解,这将使利益攸关方和公众对未来的管理政策进行明智的讨论。

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