{"title":"A Strategy for Fisheries Resources Management in Southeast Asia: A Case Study of an Inland Fishery around Tonle Sap Lake in Cambodia","authors":"S. Ishikawa, M. Hori, H. Kurokura","doi":"10.5047/ABSM.2017.01002.0023","DOIUrl":null,"url":null,"abstract":"© 2017 TERRAPUB, Tokyo. All rights reserved. doi:10.5047/absm.2017.01002.0023 ing gear in tropical and sub-tropical zones, collection of enough statistical data for stock assessment of several target species is difficult compared with temperate zones. Additionally, various stakeholders in fishery resources make it difficult to evaluate the impacts of fisheries on natural resources and peoples’ livelihoods. Therefore, it has been suggested that the resource management based on a single benchmark; for example, the maximum sustainable yield (MSY) approach is not applicable or suitable for fisheries manAbstract Various researches are usually required for fisheries resources management including stock structure identification of some fisheries target species using genetic methods, stock assessment based on existing statistical data, and impact assessments of the transition of fisheries management on fishers’ livelihoods through social studies. However, to conduct all this research is quite difficult due to several constraints in developing countries. Therefore, establishment of a reseach strategy for fisheries management in developing countries based on the minimum requirements is quite important. One series of research focused on clarification of minimum requirement was conducted on inland fisheries in Cambodia. Genetic studies can be used for stock identification, and existing statistical analysis based on stationary fishing gear data, demonstrated the ability to understand stock trends using indicators. Social studies emphasized the importance of the participation of fisheries communities and traders in stock management. Our results demonstrated a model for the research of fisheries management in developing countries as follows: a fisheries community can be initiated and sustained through community-based stationary fishing gear operations with licenses from the government, and scientists can reveal the distribution of fish stock as management targets; consequently, governments can better understand fish stock status based on fisheries data from community fishery groups in a particular area and set applicable regulation for fisheries activities. In conclusion, the collaboration of communities of fishery groups, governments, and scientists is necessary for natural resource management for sustainable use in countries in which the livelihoods of people are deeply embedded in ecosystem services. A Strategy for Fisheries Resources Management in Southeast Asia: A Case Study of an Inland Fishery around Tonle Sap Lake in Cambodia","PeriodicalId":186355,"journal":{"name":"Aqua-bioscience Monographs","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aqua-bioscience Monographs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5047/ABSM.2017.01002.0023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
东南亚渔业资源管理战略:以柬埔寨洞里萨湖周边内陆渔业为例
©2017东京TERRAPUB。版权所有。在热带和亚热带地区,与温带地区相比,收集足够的统计数据用于几种目标物种的种群评估是困难的。此外,渔业资源的各种利益攸关方使评估渔业对自然资源和人民生计的影响变得困难。因此,有人建议基于单一基准的资源管理;摘要渔业资源管理通常需要进行多种研究,包括利用遗传方法确定某些渔业目标物种的种群结构,基于现有统计数据的种群评估,以及通过社会研究评估渔业管理转型对渔民生计的影响。然而,由于发展中国家的一些限制,进行所有这些研究是相当困难的。因此,根据最低要求为发展中国家的渔业管理制定一项研究战略是非常重要的。对柬埔寨内陆渔业进行了一系列侧重于澄清最低要求的研究。遗传研究可用于种群识别,现有的基于固定渔具数据的统计分析显示了利用指标了解种群趋势的能力。社会研究强调渔业社区和贸易商参与鱼群管理的重要性。我们的研究结果为发展中国家的渔业管理研究提供了一个模式:在获得政府许可的情况下,可以通过社区固定渔具作业来启动和维持渔业社区,科学家可以揭示鱼类种群的分布情况作为管理目标;因此,政府可以根据特定地区社区渔业团体的渔业数据更好地了解鱼类种群状况,并为渔业活动制定适用的法规。总而言之,在人民生计与生态系统服务紧密相连的国家,渔业团体社区、政府和科学家的合作对于实现自然资源的可持续利用是必要的。东南亚渔业资源管理战略:以柬埔寨洞里萨湖周边内陆渔业为例
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