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INFORMATION MODEL FOR SUSTAINABILITY ANALYSIS OF FISH RESOURCES IN GREECE

机译:希腊鱼类资源可持续性分析的信息模型

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摘要

Fishery activities in Greece have a strong impact on the structure of the ecosystems and the patterns of sustainability offish resources. The presented information model consists of a multidimensional database on sea fishery in Greece and data mining software for sustainability analysis offish resources. The 2241 time series data for the period 1990-2007 are stored in database and concerns quantity offish catch by areas, species, months, kind of fishery and fishing tools as well as value and employment. The developed system of data mining rules applies the computing of descriptive statistics and trend models. The database analysis shows sustainability for total fish catch in the time period 2000-2007, but some significant changes of the fish catch by areas and by species. The attained information has 2 aspects: (1) ecological, regarding needed measures to control water quality and minimise pollutions of coastal areas; (2) economical, related to effective management of sea fish resources in Greece. An analysis of the mined information, for the present and the future, can support experts and researchers in the fields of biology and ecology to study changes in sea fish communities, in biodiversity and in marine ecosystems as a whole.
机译:希腊的渔业活动对生态系统的结构和鱼类资源可持续性的模式有重大影响。所提出的信息模型由希腊海上渔业的多维数据库和用于鱼类资源可持续性分析的数据挖掘软件组成。 1990-2007年期间的2241个时间序列数据存储在数据库中,并按区域,物种,月份,渔业和捕鱼工具的种类以及价值和就业情况来关注捕捞的鱼类数量。发达的数据挖掘规则系统应用描述性统计和趋势模型的计算。数据库分析表明,2000-2007年期间总鱼获量具有可持续性,但按地区和物种划分的鱼获量有一些重大变化。获得的信息有两个方面:(1)生态学,有关控制水质和减少沿海地区污染所需的措施; (2)经济,有效地管理希腊的海水鱼资源。对目前和将来所获得信息的分析可以为生物学和生态学领域的专家和研究人员提供支持,以研究海水鱼类群落,生物多样性以及整个海洋生态系统的变化。

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