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European Aquatic Modelling Network

E AM N. European Aquatic Modelling Network. COST Action 626 2001 – 2004. E AM N. Project Goals. to define and develop integrated methods and models of assessing the interactions between aquatic flora and fauna and riverine habitats on reach scale

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European Aquatic Modelling Network

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  1. EAMN European Aquatic Modelling Network COST Action 626 2001 – 2004

  2. EAMN Project Goals • to define and develop integrated methods and models of assessing the interactions between aquatic flora and fauna and riverine habitats • on reach scale • provide transferability to a catchment scale • based on national funded projects

  3. EAMN Description • Based on collaboration through International Aquatic Modelling Group (IAMG) since 1996 • Bringing scientists and their models and methods together • Develop improved models and methods together and with end-user collaboration http://www.eamn.org/ or contact atle.harby@sintef.no FOR MORE INFO...

  4. EAMN Objectives • Define state-of-the-art in aquatic modelling • Identify research needs • Develop improved operational hydro-ecological assessment tools • Provide an integrated framework for the quantitative assessment of the effect of human influences on aquatic ecosystems

  5. EAMN Partners Austria: University of Agricultural Sciences, Institute of Ecology and Environmental Management Belgium: Ghent University Denmark: National Environmental Research Institute Finland: Finnish Game and Fisheries Research Institute, Fortum Energy Solutions, University of Jyväskylä, North Ostro- Bothnia Regional Environment Centre France: Cemagref Aix-en-Provence, University Claude Bernard - Lyon, INRA St. Pée-sur-Nivelle Germany: Institute of Freshwater Ecology and Inland Fisheries, University of Stuttgart, SJE Ecological Engineering, University of Hohenheim, University of Applied Sciences - Koblenz Greece: National Centre for Marine Research Hungary: Budapest University of Technology and Economics Israel: Nature and Parks Authority Luxemburg: Public Research Centre - Gabriel Lippmann

  6. EAMN Partners Netherlands: Delft University of Technology, Erasmus University Rotterdam, WL Delft Hydraulics, Alterra Norway: SINTEF, Norwegian University of Science and Technology, University of Oslo, Norwegian Institute for Water Research, Directorate for Nature Management, Nortek, Statkraft Hydropower Company, Norwegian Nature Information, Statkraft Grøner, University of Oslo Slovenia: Limnos Water Ecology Group Spain: University of Granada, University of Barcelona, Polytechnical University of Madrid, University of Vigo, Institute of Advanced Studies of Blanes Street - Santa Bárbara, University of Lleida Sweden: University of Karlstad Switzerland: Swiss Environmental Research Institute (EAWAG) United Kingdom:Centre for Ecology and Hydrology, Construction Industry Research Association, University College of Worcester

  7. EAMN Working Groups • Raw data • data acquisition, techniques, requirements • Modelling • from simple correlations to advanced algorithms, validation, integration • Application • documentation, applicability, dissemination Strong links between Working Groups

  8. EAMN Organisation Action co-ordinator: Atle Harby (N) Vice co-ordinator: Armin Peter (CH) Raw data co-ordinator: Stefan Schmutz (AU) Modelling co-ordinator: Martin Baptist (NL) Application co-ordinator: Mike Dunbar (GB) Web-master: Péter Borsányi (N) Short Term Scientific Mission: Helmut Mader (AU) COST Secretariat: Emil Fulajtar

  9. EAMN Flow chart Economic dimension >> 2.5 mill Euro per year

  10. EAMN Outputs • Information exchange • Getting to know each other • A common report on state-of-the-art in data sampling, modelling, analysis and applications of aquatic habitat modelling • Complete (~ 400 p.) and short version (~ 50 p.) • Reports on special topics • Web-site • Collaborative research

  11. EAMN Results - inventories

  12. EAMN Results - methods

  13. EAMN Results – models

  14. EAMN Results – models

  15. EAMN Results - applications

  16. EAMN Special topics • Abiotic-biotic data management • Fish: Fuzzy logic and other statistical techniques • Fish and invertebrates: Hydropeaking and flow dynamics • Fish: Winter conditions • Scaling: Upscaling, downscaling, regionalisation, broad scales • Reference conditions e.g. water framework directive, regionalisation, implementation of the WFD • Floodplain vegetation modeling • Fish: Habitat-population dynamics • Modeling-uncertainty • Decision-support • River restoration modeling

  17. EAMN knowhow applications models methods, techniques database Towards a framework www.eamn.org information and framework

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