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Alternative Harvest Control Rules For Multi-Fleet and Multi-Species Tuna Fisheries under Data-Poor Conditions in Eastern Indonesia

机译:在印度尼西亚东部数据差的数据差的条件下多队和多种金枪鱼渔业的替代收获控制规则

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Indonesian tuna fisheries are complex due to variation in the scale and size of fleet in the fisheries, the highly dispersed distribution, and their multi-species nature. Moreover, there are large problems with data collection. Like many developing-country fisheries, their management needs to consider many other goals besides rents maximization, such as the distribution of rents and the stability of income and employment. This study evaluates the performance of alternative harvest control rules by means of a stochastic bio-economic model integrating the characteristics of three different scales of fishing and two tuna species. We focus on skipjack (Katsuwonus pelamis) and yellowfin tuna (Thunnus albacares) fisheries in the eastern Indonesia in small-scale (SSF), medium-scale (MSF), and large-scale fisheries (LSF). We combine the dynamics of an age-structured production model and the economic performance of fishing activity. In this study, simulation of management strategy evaluation (MSE) consistsof 5 years simulation for operating model and continue with 25 years of projection alternative harvest control rules (HCRs). We use monitoring data of effort and catch per unit effort (CPUE) to decide the allocation of effort in numbers of vessels in the next year.
机译:印度尼西亚金枪鱼渔业是复杂的,由于渔业中舰队的规模和大小的变化,高度分配的分布及其多种性质。此外,数据收集存在大问题。与许多发展中国家的渔业一样,他们的管理层需要考虑许多其他目标,除了租金的最大化之外,例如租金分配和收入和就业的稳定性。本研究通过随机生物经济模型进行了综合性的生物经济模型来评估替代收获控制规则的表现,其集成了三种不同钓鱼和两个金枪鱼物种的特点。我们专注于印度尼西亚东部(SSF),中等规模(MSF)和大型渔业(LSF)的印度尼西亚东部的鲣鱼(Katsuwonus Pelamis)和Yellowfin Tuna(Thunnus Albacares)渔业。我们将年龄结构化生产模型的动态与渔业活动的经济绩效相结合。在本研究中,管理策略评估(MSE)的模拟包括5年的运营模式模拟,并继续进行25年的投影替代收获控制规则(HCR)。我们使用监测努力数据和每单位努力(CPUE)来决定明年船只数量的努力分配。

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