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The use of models for synthesizing knowledge for integrated lake basin management, and facilitating implementation of the World Lake Vision.

Authors :
Jorgensen, Sven E.
Rast, Walter
Source :
Lakes & Reservoirs: Research & Management. Mar2007, Vol. 12 Issue 1, p3-13. 11p. 1 Chart.
Publication Year :
2007

Abstract

Integrated water resources management (IWRM) is becoming increasingly accepted as the most logical and effective means of managing aquatic ecosystems for their sustainable use. Despite efforts to provide practical examples of the application of IWRM, we still lack knowledge on how to best consider and integrate the potentially large quantity of data and information, both scientific and socioeconomic, which must be considered in pursuit of the goal of sustainable water resources. The unique features of (i) an integrating nature; (ii) long water retention time, and (iii) complex response dynamics make the management of lakes and reservoirs particularly difficult to achieve. Although the World Lake Vision has provided substantial management guidance to address some of the complex issues facing lake and reservoir management, additional work directed to analysing the interactions and linkages between the scientific/technical and the socioeconomic components of the sustainability ‘equation’ is needed. This report examines the use of mathematical models as a synthesizing tool in developing and applying management strategies for lakes and reservoirs. The different types of available models, and the criteria that can be used to select the ‘best’ model for a given situation, also are discussed, as is the important role of environmental indicators in the process. A case study focusing on the restoration of Lake Fure in Denmark provides an illustrative example of the application of the approach discussed in this report. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13205331
Volume :
12
Issue :
1
Database :
Academic Search Index
Journal :
Lakes & Reservoirs: Research & Management
Publication Type :
Academic Journal
Accession number :
24440685
Full Text :
https://doi.org/10.1111/j.1440-1770.2007.00316.x