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Entropy-based fuzzy set optimisation for reducing ecological model complexity
Mouton, A. M., De Baets, B., Peter, A., Holzer, G., Müller, R., & Goethals, P. L. M. (2008). Entropy-based fuzzy set optimisation for reducing ecological model complexity. In M. Sànchez-Marrè, J. Béjar, J. Comas, A. Rizzoli, & G. Guariso (Eds.), Vol. 3. Integrating sciences and information technology for environmental assessment and decision making. 4th biennial meeting of iEMSs (pp. 1750-1757).
A stochastic trout population model for supporting fish management
Siegenthaler - Le Drian, C., Indermaur, L., Peter, A., & Reichert, P. (2012). A stochastic trout population model for supporting fish management. In 6th international congress on environmental modelling and software (p. (8 pp.). International Environmental Modelling and Software Society.
Optimisation of a fuzzy physical habitat model for spawning European grayling (<I>Thymallus thymallus</I> L.) in the Aare river (Thun, Switzerland)
Mouton, A. M., Schneider, M., Peter, A., Holzer, G., Müller, R., Goethals, P. L. M., & De Pauw, N. (2008). Optimisation of a fuzzy physical habitat model for spawning European grayling (Thymallus thymallus L.) in the Aare river (Thun, Switzerland). Ecological Modelling, 215(1–3), 122-132. https://doi.org/10.1016/j.ecolmodel.2008.02.028
A strategy to assess river restoration success
Woolsey, S., Capelli, F., Gonser, T., Hoehn, E., Hostmann, M., Junker, B., … Peter, A. (2007). A strategy to assess river restoration success. Freshwater Biology, 52(4), 752-769. https://doi.org/10.1111/j.1365-2427.2007.01740.x