M. Austin, Species distribution models and ecological theory: A critical assessment and some possible new approaches, Ecological Modelling, vol.200, issue.1-2, pp.1-19, 2007.
DOI : 10.1016/j.ecolmodel.2006.07.005

E. Bennetsen, S. Gobeyn, and P. Goethals, Species distribution models grounded in ecological theory for decision support in river management, Ecological Modelling, vol.325, 2016.
DOI : 10.1016/j.ecolmodel.2015.12.016

D. 'heygere, T. Goethals, P. , D. Pauw, and N. , Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates, Ecological Modelling, vol.160, issue.3, pp.291-300, 2003.
DOI : 10.1016/S0304-3800(02)00260-0

J. Elbersen, P. Verdonschot, B. Roels, and J. Hartholt, Definitiestudie kaderrichtlijn water (KRW) I. Typologie nederlandse oppervlaktewateren. Alterra, 2003.

S. Fukuda, D. Baets, B. Mouton, and A. , Effect of model formulation on the optimization of a genetic Takagi???Sugeno fuzzy system for fish habitat suitability evaluation, Ecological Modelling, vol.222, issue.8, 2011.
DOI : 10.1016/j.ecolmodel.2011.01.023

S. Fukuda, A. Mouton, D. Baets, and B. , Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi???Sugeno fuzzy system, Environmental Monitoring and Assessment, vol.14, issue.1, pp.6159-6171, 2012.
DOI : 10.1111/j.1472-4642.2008.00482.x

S. Fukuda, D. Baets, B. Waegeman, W. Verwaeren, and J. Mouton, Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models, Environmental Modelling & Software, vol.47, pp.1-6
DOI : 10.1016/j.envsoft.2013.04.005

W. Gabriels, P. Goethals, A. Dedecker, S. Lek, D. Pauw et al., Analysis of macrobenthic communities in Flanders, Belgium, using a stepwise input variable selection procedure with artificial neural networks, Aquatic Ecology, vol.48, issue.3, pp.427-441, 2007.
DOI : 10.1007/BF00011927

S. Gobeyn, Species distribution model identification tool (SDMIT); software available at https://sachagobeyn.github

S. Gobeyn, M. Volk, L. Dominguez-granda, and P. Goethals, Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador, Environmental Modelling & Software, vol.92, pp.269-316, 2017.
DOI : 10.1016/j.envsoft.2017.02.012

D. Goldberg and D. K. , A Comparative Analysis of Selection Schemes Used in Genetic Algorithms, Found Genet Algorithms, vol.1, pp.69-93, 1991.
DOI : 10.1016/B978-0-08-050684-5.50008-2

M. Gibbs, G. Dandy, and H. Maier, A genetic algorithm calibration method based on convergence due to genetic drift, Information Sciences, vol.178, issue.14, pp.2857-2869, 2008.
DOI : 10.1016/j.ins.2008.03.012

A. Guisan and N. Zimmermann, Predictive habitat distribution models in ecology, Ecological Modelling, vol.135, issue.2-3, pp.147-186, 2000.
DOI : 10.1016/S0304-3800(00)00354-9

A. Guisan and C. Rahbek, SESAM - a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages, Journal of Biogeography, vol.126, issue.8, pp.1433-1444, 2011.
DOI : 10.1525/auk.2009.08155

URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2699.2011.02550.x/pdf

S. Hamblin, On the practical usage of genetic algorithms in ecology and evolution, Methods in Ecology and Evolution, vol.6, issue.2, pp.184-194, 2013.
DOI : 10.1088/1748-3182/6/1/016005

A. Hirzel, L. Lay, and G. , Habitat suitability modelling and niche theory, Journal of Applied Ecology, vol.44, issue.5, pp.1372-1381, 2008.
DOI : 10.17161/bi.v2i0.4

URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2664.2008.01524.x/pdf

X. Li and Y. Wang, Applying various algorithms for species distribution modelling, Integrative Zoology, vol.2, issue.2, pp.124-135, 2013.
DOI : 10.2307/3236170

H. Maier, Z. Kapelan, and J. Kasprzyk, Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions, Environmental Modelling & Software, vol.62, pp.271-299, 2014.
DOI : 10.1016/j.envsoft.2014.09.013

URL : https://digital.library.adelaide.edu.au/dspace/bitstream/2440/96291/2/hdl_96294.pdf

S. Manel, W. Ceri, and S. Ormerod, Evaluating presence-absence models in ecology: the need to account for prevalence, Journal of Applied Ecology, vol.38, issue.Supplement 1, pp.921-931, 2001.
DOI : 10.2307/3237182

URL : https://hal.archives-ouvertes.fr/halsde-00295050

A. Mouton, D. Baets, B. Goethals, and P. , Ecological relevance of performance criteria for species distribution models, Ecological Modelling, vol.221, issue.16, pp.1995-2002, 2010.
DOI : 10.1016/j.ecolmodel.2010.04.017

N. Poff, Landscape Filters and Species Traits: Towards Mechanistic Understanding and Prediction in Stream Ecology, Journal of the North American Benthological Society, vol.16, issue.2, pp.391-409, 1997.
DOI : 10.2307/1468026

L. Sandin and P. Verdonschot, Stream and river typologies ??? major results and conclusions from the STAR project, Hydrobiologia, vol.14, issue.1, pp.33-37, 2006.
DOI : 10.1007/s10750-006-0072-9

URL : http://edepot.wur.nl/34738

C. Shannon, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

D. Stockwell, The GARP modelling system: problems and solutions to automated spatial prediction, International Journal of Geographical Information Science, vol.4, issue.2, pp.143-158, 1999.
DOI : 10.1080/02693799208901905

E. Van-broekhoven, V. Adriaenssens, D. Baets, and B. , Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: An ecological case study, International Journal of Approximate Reasoning, vol.44, issue.1, 2007.
DOI : 10.1016/j.ijar.2006.03.003