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E-Governance and Management of Inland Water Ecosystems Using Time-Series Analysis of Fishery Production

E-Governance and Management of Inland Water Ecosystems Using Time-Series Analysis of Fishery Production
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Author(s): A.K. Kokkinakis (Aristotle University of Thessaloniki, Greece)and Z.S. Andreopoulou (Aristotle University of Thessaloniki, Greece)
Copyright: 2011
Pages: 21
Source title: Agricultural and Environmental Informatics, Governance and Management: Emerging Research Applications
Source Author(s)/Editor(s): Zacharoula Andreopoulou (Aristotle University of Thessaloniki, Greece), Basil Manos (Aristotle University of Thessaloniki, Greece), Nico Polman (Wageningen University, The Netherlands)and Davide Viaggi (University of Bologna, Italy)
DOI: 10.4018/978-1-60960-621-3.ch017

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Abstract

Governance of inland water ecosystems incorporates many components, such as the policy designation for the monitoring in a systematic basis of valuable biological parameters of the ecosystem regarding planning for the collection, assembly, organization, analysis, and dissemination of time-series fishery data in respect to forecasting for decision-making purposes from local and government stakeholders towards sustainability. E-governance engages an amplified dependence on stored data characterized by shared access to, and transmission of, in the form of digital data by public institutions using contemporary ICTs. Decision-making purposes for sustainable fishery management in inland waters whether at local, national, or regional levels, impose an improved forecasting process designed to ensure the long-term sustainability of fishery resources at levels which promote the objective of their optimum utilization and availability for future generations. Time series data concerning fishery production are often used in order to assess the present situation and consequently to forecast and enhance planning and consequently decision-making. ICTs new broadband Internet connections provide the middleware to effectively accomplish the goal of fishery data collection, their transfer to various government levels, higher levels or equal levels, the organization within a standard IT data structure, and further, the dissemination of either the results or the raw data.

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