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Local knowledge assessment for a small-scale fishery using geographic information systems.

机译:使用地理信息系统对小型渔业进行本地知识评估。

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This paper uses a recent protocol for the collection of local knowledge of harvesters within a small-scale fishery and applies it to the spiny lobster and queen conch fisheries in the Turks and Caicos Islands. The protocol is used to identify marine harvest locations using hard copy mapping and geographic information systems (GIS) as reference media. Fishing areas are transferred from hard copy to digital form and input into a multi-harvester, multi-layer GIS database, which is used to produce a fishing likelihood surface. This surface is then used to identify high-pressure harvest zones for the spiny lobster. The paper considers the implications of this approach for species co-management, where scientific knowledge derived from traditional fisheries data collection and analysis and local knowledge, as reflected by harvester activities and other harvester-derived data on the fisheries, are combined. Collaboration between government officers, fisheries scientists and local resource harvesters is considered to be potentially the most fruitful avenue for Species management through the construction and implementation of a management plan that all parties have contributed to and understand. [copyright] 2006 Elsevier B.V. All rights reserved.
机译:本文使用最新协议收集小型渔业中收割者的当地知识,并将其应用于特克斯和凯科斯群岛的大螯虾和海螺女王渔业。该协议使用硬拷贝映射和地理信息系统(GIS)作为参考媒体来识别海洋收获地点。捕捞区域从硬拷贝转换为数字形式,然后输入到多收割机,多层GIS数据库中,该数据库用于产生钓鱼可能性表面。然后,该表面用于识别多刺龙虾的高压收获区。本文考虑了这种方法对物种共同管理的意义,将传统渔业数据收集和分析中获得的科学知识与当地知识相结合,这体现在收割者的活动和其他收割者的渔业数据中。通过制定和实施各方共同参与和理解的管理计划,政府官员,渔业科学家和当地资源收割者之间的合作被认为是物种管理的最富有成果的途径。 [版权] 2006 Elsevier B.V.保留所有权利。

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