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DECISION SUPPORT FOR SUSTAINABLE FISHERY MANAGEMENT IN LAKE ECOSYSTEMS USING PRODUCTION MODELS OF COMMERCIAL FISH SPECIES

机译:利用商业鱼类生产模型决策支持湖泊生态系统中的可持续渔业管理

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Lakes are areas where the application of management projects usually stands in conflict with the economic profit of local users such as fishermen. Lake Volvi in Northern Greece, one of the biggest lakes in Balkan Peninsula, presents an important fishery production. It is traditionally known as an inland fishery area, being under intense exploitation of its natural biological resources. Unfortunately, it tends to lose that characteristic profile in our days due to the degradation of the quality and quantity of lake ecosystem, the damage of fisheries and the reduction of the most important commercially fish populations. This paper describes the development of production models for the lake support decision-making purposes from local authorities aiming to a sustainable fishery management in lake ecosystems, concerning both total production and partial productions of the most important commercially fish species.The collected fishery production data concerning the lake Volvi include total annual fisheries data for 42 years, between 1960 and 2002, and annual fishery production for 7 species representative of the catch of the lake, as common carps {Cyprinus carpio), common roaches (Rutilus rutilus), European perches (Perca fluviatilis), European eels (Anguilla anguilla), northern pikes (Esox lucius), Macedonian shads (Alosa macedonica) and carp breams (Abramis brama). The basic approach used was to fit time series models to the annual fishery production data and to generate short term production forecasts onwards. Three types of analysis were performed for the total fishery production on the lake, Trend analyses', 'Moving Average' and 'ARIMA' models, one for the detailed production and the results were compared. A combination of factors aided to the decrease of the fish production in the lake in the recent past. One of them is the inadequate management, especially of the species with important commercial value, such as Cyprinus carpio, Perca fluviatilis and Anguilla anguilla. The values of the fishery production after 1990 have made the fishermen to fish more dynamic and they destroyed the natural resources. Meanwhile, other causes for the decrease are the illegal fishing methods, the change in fishing tools, the excessive drilling for water close to the lake that has reduced lakes water and revealed reproduction areas. Decision support is enhanced through time series modelling for total and partial annual productions while it implies an effective model for fishery management, well adapted with the natural environmental conditions of the ecosystem, also aiming in the upgrade of fisheries production for local profit and environmental protection.
机译:湖泊是管理项目的应用通常与渔民等当地用户的经济利润相冲突的领域。希腊北部沃尔维湖,巴尔干半岛最大的湖泊之一,呈现出一个重要的渔业生产。它传统上被称为内陆渔场,受到自然生物资源的强烈开采。不幸的是,由于湖泊生态系统的质量和数量,渔业损害以及最重要的商业捕鱼种群的质量和数量的退化,它往往会失去这种特色简介。本文介绍了湖泊支持决策的生产模型的发展,旨在达到湖泊生态系统的可持续渔业管理,涉及最重要的商业鱼类的总产量和部分制作。收集的渔业生产数据有关沃尔维湖包括42岁的全年渔业数据,1960年至2002年间,以及每年的7种代表湖泊的7种,作为普通鲤鱼(Cyprinus Carpio),普通蟑螂(Rutilus Rutilus),欧洲栖息地( Perca Fluviatilis),欧洲鳗鱼(Anguilla Anguilla),北派克(Esox Lucius),马其顿鲥鱼(Alosa MaceDonica)和鲤鱼鲷(Abramis Brama)。所使用的基本方法是将时间序列模型适合年度渔业生产数据,并在向后生成短期生产预测。为湖泊的总渔业生产进行了三种分析,趋势分析',“移动平均”和“Arima”模型,一个用于详细的生产和结果进行了比较。最近在湖泊中减少了湖泊的鱼类生产减少的因素的组合。其中一个是管理不足,特别是具有重要商业价值的物种,例如Cyprinus Carpio,Perca Fluviatilis和Anguilla Anguilla。 1990年后的渔业生产的价值使渔民捕获了更具活力的,他们摧毁了自然资源。同时,减少的其他原因是非法捕鱼方法,捕鱼工具的变化,靠近湖泊的水的过度钻井,湖泊水和揭示了再生产区域。通过时间序列建模,可以通过时间序列建模增强决策支持,而渔业管理有效模型,适应生态系统的自然环境条件,旨在升级当地利润和环境保护的渔业生产。

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