Development and application of an integrated ecological modelling framework to analyze the impact of wastewater discharges on the ecological water quality of rivers

Environmental Modelling and Software

Volumn 48, Issue , 2013, Pages 27-36

  Holguin Gonzalez, Javier E ^a   Everaert, Gert ^a   Boets, Pieter ^a   Galvis, Alberto ^b   Goethals, Peter L M ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSIDAD DEL VALLE   (Colombia)

Author keywords

Habitat suitability models; Information theoretic approach; Integrated ecological modelling; MIKE 11; Multi model inference

Indexed keywords

HABITAT SUITABILITY MODEL; INFORMATION-THEORETIC APPROACH; INTEGRATED ECOLOGICAL MODELLING; MIKE 11; MULTI-MODEL INFERENCE;

DECISION SUPPORT SYSTEMS; DEVELOPING COUNTRIES; ECOSYSTEMS; INVESTMENTS; SANITATION; WATER MANAGEMENT; WATER QUALITY;

RIVERS;

DEVELOPING WORLD; ECOLOGICAL MODELING; INTEGRATED APPROACH; MACROINVERTEBRATE; PHYSICOCHEMICAL PROPERTY; POLLUTION CONTROL; RIVER WATER; THEORETICAL STUDY; WASTEWATER; WATER QUALITY; WATER RESOURCE;

COLOMBIA;

EID: 84880340924     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.06.004     Document Type: Article

References (55)

1. Ahmadi-Nedushan B., St-Hilaire A., Bérubé M., Robichaud É., Thiémonge N., Bobée B. Areview of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment. River Res. Appl. 2006, 22:503-523.
2. Beven K.J., Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrol. Process. 1992, 6:279-298.
3. Bockelmann B.N., Fenrich E.K., Lin B., Falconer R.A. Development of an ecohydraulics model for stream and river restoration. Ecol. Eng. 2004, 22:227-235.
4. Boets P., Pauwels I.S., Lock K., Goethals P.L.M. Using an integrated modelling approach for risk assessment of the 'killer shrimp' Dikerogammarus villosus. River Res. Appl. 2013, 10.1002/rra.2658.
5. Bowie G.L., et al. Rates, Constants, and Kinetics Formulations in Surface Water Quality Modeling 1985, Rep. No. EPA/600/3-85/040, U.S. Environmental Protection Agency, Georgia, U.S. second ed.
6. Burnham K.P., Anderson D.R. Model Selection and Multimodel Inference. A Practical Information-Theoretic Approach 2002, Springer, New York, United States. second ed.
7. Burnham K.P., Anderson D.R., Huyvaert K.P. AICc model selection in ecological and behavioral science: some background, observations, and comparisons. Behav. Ecol. Sociobiol. 2011, 65:23-35.
8. Chapra S.C. Surface Water-quality Modeling 1997, McGraw-Hill, New York, U.S.
9. Cohen J. Acoefficient of agreement for nominal scales. Educ. Psychol. Meas. 1960, 20:37-46.
10. CVC, Univalle, 2007. Cauca River Modelling Project (CRMP), Compilation Volumes IX and XII, Phase II, and Volumes XII and XIII, Phase III, Cali, Colombia (in Spanish).
11. De Pauw N., Hawkes H.A. Biological Monitoring of River Water Quality, River Water Quality Monitoring and Control 1993, 87-111. Aston University, Birmingham, UK. W.J. Walley, S. Judd (Eds.).
12. De Pauw N., Gabriels W., Goethals P.L.M. River monitoring and assessment methods based on macroinvertebrates. Water Quality Measurements Series 2006, 113-133. John Wiley & Sons, Ltd., England. G. Ziglio, M. Siligardi, G. Flaim (Eds.).
13. DHI - Danish Hydraulic Institute MIKE 11: a Modelling System for Rivers and Channel, Short Description, Guide to Getting Started, Tutorial 1999, DHI-Water and Development, Horsholm, Denmark.
14. Dominguez G.L., Lock K., Goethals P.L.M. Application of classification trees to determine biological and chemical indicators for river assessment: case study in the Chaguana watershed (Ecuador). J.Hydroinform. 2011, 13:489-499.
15. Dominguez G.L., Lock K., Goethals P.L.M. Using multi-target clustering trees as a tool to predict biological water quality indices based on benthic macroinvertebrates and environmental parameters in the Chaguana watershed (Ecuador). Ecol. Inform. 2011, 6:303-308.
16. Everaert G., Pauwels I.S., Boets P., Verduin E., de la Haye M.A.A., Blom C., Goethals P.L.M. Model-based evaluation of ecological bank design and management in the scope of the European Water Framework Directive. Ecol. Eng. 2013, 53:144-152.
17. Fitzpatrick M., Weltzin J., Sanders N., Dunn R. The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range?. Global Ecol. Biogeogr. 2007, 16:24-33.
18. Freckleton R.P. Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error. Behav. Ecol. Sociobiol. 2011, 65:91-101.
19. Fox J., Weisberg S. An R Companion to Applied Regression 2011, Sage Publications, California, U.S. second ed.
20. Gabriels W., Goethals P.L.M., Dedecker A.P., Lek S., De Pauw N. Analysis of macrobenthic communities in Flanders, Belgium, using a stepwise input variable selection procedure with artificial neural networks. Aquat. Ecol. 2007, 41:427-441.
21. Gibson L.A., Wilson B.A., Cahill D.M., Hill J. Spatial prediction of rufous bristlebird habitat in a coastal heathland: a GIS-based approach. J.Appl. Ecol. 2004, 41:213-223.
22. Goethals, P.L.M., 2005. Data driven development of predictive ecological models for benthic macroinvertebrates in rivers. Doctoral thesis in Applied Biological Sciences, Ghent University, Gent, Belgium.
23. Goethals P.L.M., Dedecker A.P., Gabriels W., Lek S., De Pauw N. Applications of artificial neural networks predicting macroinvertebrates in freshwaters. Aquat. Ecol. 2007, 41:491-508.
24. Grueberg C.E., Nakagawa S., Laws R.J., Jamieson I.G. Multimodel inference in ecology and evolution: challenges and solutions. J.Evol. 2011, 24:699-711.
25. Holguin G.J.E., Velez C., Galvis A., Ramírez C., Baena L., Duque A. Implementation of a dynamic model for the study of the water quality in the Cauca River. Advances in Research and Development in Water and Sanitation for Meeting the Millennium Development Goals 2007, 87-96. Del Valle University Editorial Program, Colombia, (in Spanish). I. Restrepo, L.D. Sánchez, A. Galvis, J. Rojas, I.J. Sanabria (Eds.).
26. Holguin G.J.E., Goethals P.L.M. Modelling the ecological impact of discharged urban waters upon receiving aquatic ecosystems. A tropical lowland river case study: city Cali and the Cauca river in Colombia. 5th Biennial Meeting of the International Congress on Environmental Modelling and Software (iEMSs 2010): Modelling for Environment's Sake 2010, 1447-1455. International Environmental Modelling and Software Society (iEMSs), Ottawa, ON, Canada. http://www.iemss.org/iemss2010/Volume2.pdf, D.A. Swayne, W. Yang, A.A. Voinov, A. Rizzoli, T. Filatova (Eds.).
27. Holguin J.E., Boets P., Alvarado A., Cisneros F., Carrasco M.C., Wyseure G., Nopens I., Goethals P.L.M. Integrating hydraulic, physicochemical and ecological models to assess the effectiveness of water quality management strategies for the River Cuenca in Ecuador. Ecol. Model. 2013, 251:1-14.
28. Hughes D.A., Louw D. Integrating hydrology, hydraulics and ecological response into a flexible approach to the determination of environmental water requirements for rivers. Environ. Model. Softw. 2010, 25:910-918.
29. Hurvich C.M., Tsai C.L. Regression and time series model selection in small samples. Biometrika 1989, 76:297-307.
30. Johnson J.B., Omland K.S. Model selection in ecology and evolution. Trends Ecol. Evol. 2004, 19:101-108.
31. Lam D., Leon L., Hamilton S., Crookshank N., Bonin D., Swayne D. Multi-model integration in a decision support system: a technical user interface approach for watershed and lake management scenarios. Environ. Model. Softw. 2004, 19:317-324.
32. Lek S. Uncertainty in ecological models. Ecol. Model. 2007, 207:1-2. Editorial.
33. Lock, K., Goethals, P.L.M. Habitat suitability modelling for mayflies (Ephemeroptera) in Flanders (Belgium). Ecol. Inform.http://dx.doi.org/10.1016/j.ecoinf.2011.12.004.
34. Lock K., Goethals P.L.M. Distribution and ecology of the mayflies (Ephemeroptera) of Flanders (Belgium). Ann. Limnol.-Int. J. Limnol. 2011, 47:59-165.
35. Manel S., Williams H.C., Ormerod S.J. Evaluating presence-absence models in ecology: the need to account for prevalence. J.Appl. Ecol. 2001, 38:921-931.
36. Molle F. River-basin planning and management: the social life of a concept. Geoforum 2009, 40:484-494.
37. Møller A.P., Jennions M.D. How much variance can be explained by ecologists and evolutionary biologists?. Oecologia 2002, 132:492-500.
38. Mouton A., Van Der Most H., Jeuken A., Goethals P.L.M., De Pauw N. Evaluation of river basin restoration options by the application of the Water Framework Directive explorer in the Zwalm river basin (Flanders, Belgium). River Res. Appl. 2009, 25:82-97.
39. O'Connor D.J., Dobbins W.E. Mechanism of reaeration in natural streams. ASCE Trans. 1956, 86:35-55.
40. Prati L., Pavanello R., Pesarin F. Assessment of surface water quality by a single index of pollution. Water Res. 1971, 5:741-751.
41. R Development Core Team R: a Language and Environment for Statistical Computing 2009, R Foundation for Statistical Computing, Vienna, Austria.
42. Randin C.F., Dirnbock T., Dullinger S., Zimmerman N.E., Zappa M., Guisan A. Are niche-based species distribution models transferable in space?. J.Biogeogr. 2006, 33:1689-1703.
43. Refsgaard J., van der Sluijs J., Højberg A., Vanrolleghem P. Uncertainty in the environmental modelling process - a framework and guidance. Environ. Model. Softw. 2007, 22:1543-1556.
44. Rushton S.P., Ormerod S.J., Kerby G. New paradigms for modelling species distributions?. J.Appl. Ecol. 2004, 41:193-200.
45. Symonds M., Moussalli A. Model selection, multimodel inference and model averaging using Akaike's information criterion: an introduction for statistically terrified behavioural ecologists. Behav. Ecol. Sociobiol. 2011, 65:13-21.
46. Tomsic C.A., Granata T.C., Murphy R.P., Livchak C.J. Using a coupled eco-hydrodynamic model to predict habitat for target species following dam removal. Ecol. Eng. 2007, 30:215-230.
47. USEPA (U.S.Environmental Protection Agency) APrimer on Using Biological Assessments to Support Water Quality Management 2011, EPA 810-R-11-01, U.S. Environmental Protection Agency, Washington, DC, (accessed October 2011). http://water.epa.gov/scitech/swguidance/standards/criteria/aqlife/biocriteria/upload/primer_update.pdf.
48. Vaughan I.P., Diamond M., Gurnell A.M., Hall K.A., Jenkins A., Milner N.J., Naylor L.A., Sear D.A., Woodward G., Ormerod S.J. Integrating ecology with hydromorphology: a priority for river science and management. Aquat. Conserv.: Mar. Freshw. Ecosyst. 2009, 19:113-125.
49. Vayssières M.P., Plant R.E., Allen-Diaz B. Classification trees: an alternative non-parametric approach for predicting species distributions. J.Veg. Sci. 2000, 11:679-694.
50. Voinov A., Bousquet F. Modelling with stakeholders. Environ. Model. Softw. 2010, 25:1268-1281.
51. Warmink J.J., Janssen J., Booij M.J., Krol M.S. Identification and classification of uncertainties in the application of environmental models. Environ. Model. Softw. 2010, 25:1518-1527.
52. Willems W., Goethals P.L.M., Van den Eynde D., Van Hoey G., Van Lancker V., Verfaillie E., Vincx M., Degraer S. Where is the worm? Predictive modelling of the habitat preferences of the tube-building polychaete Lanice conchilega. Ecol. Model. 2008, 212:74-79.
53. Zúñiga M.C., Cardona W. Water quality and environmental flow bioindicators. Environmental Flow: Concepts, Experiences and Challenges 2009, 167-198. Del Valle University, Cali, Colombia, (in Spanish). J. Cantera, Y.L. Carvajal, L. Castro (Eds.).
54. Zuur A.F., Ieno E.N., Smith G.M. Analysing Ecological Data 2007, Springer, New York, U.S.
55. Zuur A.F., Ieno E.N., Walker N.J., Saveliev A.A., Smith G.M. Mixed Effects Models and Extensions in Ecology with R 2009, Springer, New York, U.S. first ed.