Application of MesoCASiMiR: Assessment of Baetis rhodani habitat suitability

Proceedings of the iEMSs 3rd Biennial Meeting," Summit on Environmental Modelling and Software"

Volumn , Issue , 2006, Pages

  Mouton, A M ^a   Schneider, M ^b   Kopecki, I ^b   Goethals, P L M ^a   De Pauw, N ^a  

^a GHENT UNIVERSITY   (Belgium)

^b Sje Schneider and Jorde Ecological Engineering   (Germany)

Author keywords

Ecological modelling; Fuzzy logic; Habitat mapping; Meso scale habitat suitability

Indexed keywords

BELGIUM; BIOLOGICAL SAMPLES; CASIMIR; ECOLOGICAL MODELLING; ECOLOGICAL STATUS; EXPERT KNOWLEDGE; FLANDERS; FUZZY VARIABLE SET; HABITAT MAPPING; HABITAT SUITABILITY; INPUT PARAMETER; MACROINVERTEBRATES; MESOSCALE; MODEL INFERENCE; MODELING SYSTEMS; OXYGEN CONCENTRATIONS; RIVER BASINS; RIVER MANAGEMENT; RUNNING WATERS; SAMPLING SITE;

FUZZY LOGIC; GRAPHICAL USER INTERFACES; RATING; RESTORATION; RIVERS;

ECOSYSTEMS;

EID: 84858636350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Adriaenssens, V., Verdonschot, P.F.M., De Baets, B. and De Pauw, N., Knowledge base development for macroinvertebrate habitat suitability modelling, Freshwater Biology, in prep.
2. Alfredsen, K., A modelling system for estimation of impacts on fish habitat, Proceedings of the XXVIIth IAHR congress, Environmental and coastal hydraulics: protecting the aquatic habitat, San Francisco, USA, 1997.
3. Borsányi, P., A meso-scale habitat classification method for production modelling of atlantic salmon in Norway, paper presented at IFIM Users workshop, Fort Collins, C.O., USA, 2002.
4. Carchon, P. and De Pauw, N., Detailstudie en uitwerking van een methodiek inzake het kwaliteitsbeeld van oppervlaktewateren, Study conducted under authority of the Flemish Environmental Agency (VMM), 1997.
5. Cohen, J., A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46, 1960.
6. Dedecker, A.P., Goethals, P.L.M., Gabriels, W. and De Pauw, N., Optimization of artificial neural network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium), Ecological Modelling, 174, 161-173, 2004.
7. De Pauw, N. and Vanhooren, G., Method for biological quality assessment of watercourses in Belgium, Hydrobiologia, 100, 153-183, 1983.
8. D'heygere, T., Goethals, P.L.M. and De Pauw, N., Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates, Ecological Modelling, 160, 291-300, 2003.
9. EU, Directive of the European Parliament and of the council 2000/60/EC establishing a framework for community action in the field of water policy, European Union, The European Parliament, The Council, PE-CONS 3639/1/00 REV 1 EN, 2000.
10. Fielding, A.H. and Bell, J.F., A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservations, 24, 38-49, 1997.
11. Fleiss, J.L. and Cohen, J., The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability, Educational and Psychological Measurement, 33, 613-619, 1973.
12. Jorde, K., Ökologisch begründete, dynamische Mindestwasserregelungen bei Ausleitungskraftwerken, Ph.D. thesis, Stuttgart University, Stuttgart, 1996.
13. IBN, Biological water quality: determination of the biotic index based on aquatic macroinvertebrates, NBN T92-402, Institut Belge de Normalisation (IBN), 1984.
14. Maddock, I., The importance of physical habitat assessment for evaluating river health, Freshwater Biology, 41, 373-391,1999.
15. nd International Symposium on Habitats and Hydraulics, Vol. B, 203-214, Quebec, Canada, 1996.
16. Parasiewicz, P., MesoHABSIM - a concept for application of instream flow models in river restoration planning, Fisheries, 29(9), 6-13, 2001.
17. Parasiewicz, P., Upscaling: Integrating Habitat Model into River Management, Canadian Water Resources Journal, 28(2), 1-17, 2003.
18. Schneider, M., Habitat- und Abflussmodellierung für Fliessgewässer mit unscharfen Berechnungsansätzen - Weiterentwicklung des Simulationsmodells CASIMIR, Ph.D. thesis, Stuttgart University, Stuttgart, 2001.
19. Schneider, M., Jorde K., Zoellner F. and Kerle F., Development of a user-friendly software for ecological investigations on river systems, integration of a fuzzy rule-based approach, Proceedings Environmental informatics 2001, 15th International Symposium, Informatics for Environmental Protection, ETH Zurich, Switzerland, 2001.
20. Soresma, Environmental impact assessment report on the development of fish migration channels and natural overflow systems in the Zwalm River basin, Soresma advies- en ingenieursbureau, Antwerp, 2000.
21. Thickner, D., Armitage, P.D., Bickerton, M.A. and Hall, K.A., Assessing stream quality using information on mesohabitat distribution and character, Aquatic Conservation: Marine and Freshwater Ecosystems 10, 179-196, 2000.
22. Van Broekhoven, E., Interpretability-preserving genetic optimisation of linguistic terms in fuzzy models for fuzzy ordened classification: an ecological case study, Fuzzy Sets and Systems, in prep.
23. VMM, Algemeen Waterkwaliteitsplan 2-6, Boven-schelde, Vlaamse Milieumaatschappij (VMM), 70 pp., Aalst, 2003.
24. Zadeh, L.A., Fuzzy sets, Information and Control, 8, 338-353, 1965.