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From individual to joint species distribution models: a comparison of model complexity and predictive performance
Caradima, B., Schuwirth, N., & Reichert, P. (2019). From individual to joint species distribution models: a comparison of model complexity and predictive performance. Journal of Biogeography, 46(10), 2260-2274. https://doi.org/10.1111/jbi.13668
Identifying non-additive multi-attribute value functions based on uncertain indifference statements
Haag, F., Lienert, J., Schuwirth, N., & Reichert, P. (2019). Identifying non-additive multi-attribute value functions based on uncertain indifference statements. Omega: the international journal of management science, 85, 49-67. https://doi.org/10.1016/j.omega.2018.05.011
Ecological assessment of river networks: from reach to catchment scale
Kuemmerlen, M., Reichert, P., Siber, R., & Schuwirth, N. (2019). Ecological assessment of river networks: from reach to catchment scale. Science of the Total Environment, 650, 1613-1627. https://doi.org/10.1016/j.scitotenv.2018.09.019
How to make ecological models useful for environmental management
Schuwirth, N., Borgwardt, F., Domisch, S., Friedrichs, M., Kattwinkel, M., Kneis, D., … Vermeiren, P. (2019). How to make ecological models useful for environmental management. Ecological Modelling, 411, 108784 (14 pp.). https://doi.org/10.1016/j.ecolmodel.2019.108784
Multi-criteria decision analysis for integrated water quality assessment and management support
Schuwirth, N., Honti, M., Logar, I., & Stamm, C. (2018). Multi-criteria decision analysis for integrated water quality assessment and management support. Water Research X, 1, 100010 (11 pp.). https://doi.org/10.1016/j.wroa.2018.100010
Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?
Honti, M., Schuwirth, N., Rieckermann, J., & Stamm, C. (2017). Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development? Hydrology and Earth System Sciences, 21(3), 1593-1609. https://doi.org/10.5194/hess-21-1593-2017
Überarbeitung des Makrozoobenthos-Index. Natürliche Einflussfaktoren, Ursache-Wirkungsanalyse und Diskussion des Spear-Index
Michel, C., Schindler Wildhaber, Y., Leib, V., Remund, N., & Schuwirth, N. (2017). Überarbeitung des Makrozoobenthos-Index. Natürliche Einflussfaktoren, Ursache-Wirkungsanalyse und Diskussion des Spear-Index. Aqua & Gas, 97(4), 70-77.
Integrating ecological theories and traits in process-based modeling of macroinvertebrate community dynamics in streams
Mondy, C. P., & Schuwirth, N. (2017). Integrating ecological theories and traits in process-based modeling of macroinvertebrate community dynamics in streams. Ecological Applications, 27(4), 1365-1377. https://doi.org/10.1002/eap.1530
Integrating and extending ecological river assessment: concept and test with two restoration projects
Paillex, A., Schuwirth, N., Lorenz, A. W., Januschke, K., Peter, A., & Reichert, P. (2017). Integrating and extending ecological river assessment: concept and test with two restoration projects. Ecological Indicators, 72, 131-141. https://doi.org/10.1016/j.ecolind.2016.07.048
Mechanistic modelling for predicting the effects of restoration, invasion and pollution on benthic macroinvertebrate communities in rivers
Paillex, A., Reichert, P., Lorenz, A. W., & Schuwirth, N. (2017). Mechanistic modelling for predicting the effects of restoration, invasion and pollution on benthic macroinvertebrate communities in rivers. Freshwater Biology, 62(6), 1083-1093. https://doi.org/10.1111/fwb.12927
Modeling macroinvertebrate community dynamics in stream mesocosms contaminated with a pesticide
Kattwinkel, M., Reichert, P., Rüegg, J., Liess, M., & Schuwirth, N. (2016). Modeling macroinvertebrate community dynamics in stream mesocosms contaminated with a pesticide. Environmental Science and Technology, 50(6), 3165-3173. https://doi.org/10.1021/acs.est.5b04068
The importance of biotic interactions for the prediction of macroinvertebrate communities under multiple stressors
Schuwirth, N., Dietzel, A., & Reichert, P. (2016). The importance of biotic interactions for the prediction of macroinvertebrate communities under multiple stressors. Functional Ecology, 30(6), 974-984. https://doi.org/10.1111/1365-2435.12605
D5.2 - Cost-effective restoration measures that promote wider ecosystem and societal benefits. REstoring rivers FOR effective catchment Management
Brouwer, R., Kuik, O., Sheremet, O., Jiang, Y., Brands, D., Gerdes, H., … González del Tánago, M. (2015). D5.2 - Cost-effective restoration measures that promote wider ecosystem and societal benefits. REstoring rivers FOR effective catchment Management. European Commission.
Environmental decision analysis at Eawag, Switzerland
Lienert, J., Haag, F., Marttunen, M., Reichert, P., & Schuwirth, N. (2015). Environmental decision analysis at Eawag, Switzerland. Newsletter, EURO Working Group Multicriteria Decision Aiding, 3(32), 3-7. Retrieved from http://www.cs.put.poznan.pl/ewgmcda/index.php/newsletter
D5.4 - risks and uncertainty in river rehabilitation
Reichert, P., Paillex, A., Schuwirth, N., Schirmer, M., Brouwer, R., García de Jalón, D., … Verdonschot, P. (2015). D5.4 - risks and uncertainty in river rehabilitation. European Commission.
The conceptual foundation of environmental decision support
Reichert, P., Langhans, S. D., Lienert, J., & Schuwirth, N. (2015). The conceptual foundation of environmental decision support. Journal of Environmental Management, 154, 316-332. https://doi.org/10.1016/j.jenvman.2015.01.053
Tackling uncertainty in multi-criteria decision analysis – an application to water supply infrastructure planning
Scholten, L., Schuwirth, N., Reichert, P., & Lienert, J. (2015). Tackling uncertainty in multi-criteria decision analysis – an application to water supply infrastructure planning. European Journal of Operational Research, 242(1), 243-260. https://doi.org/10.1016/j.ejor.2014.09.044
How stressor specific are trait-based ecological indices for ecosystem management?
Schuwirth, N., Kattwinkel, M., & Stamm, C. (2015). How stressor specific are trait-based ecological indices for ecosystem management? Science of the Total Environment, 505, 565-572. https://doi.org/10.1016/j.scitotenv.2014.10.029
Ecological networks: the missing links in biomonitoring science
Gray, C., Baird, D. J., Baumgartner, S., Jacob, U., Jenkins, G. B., O'Gorman, E. J., … Woodward, G. (2014). Ecological networks: the missing links in biomonitoring science. Journal of Applied Ecology, 51(5), 1444-1449. https://doi.org/10.1111/1365-2664.12300
The method matters: a guide for indicator aggregation in ecological assessments
Langhans, S. D., Reichert, P., & Schuwirth, N. (2014). The method matters: a guide for indicator aggregation in ecological assessments. Ecological Indicators, 45, 494-507. https://doi.org/10.1016/j.ecolind.2014.05.014