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Similar temporal patterns in insect richness, abundance and biomass across major habitat types
Gebert, F., Bollmann, K., Schuwirth, N., Duelli, P., Weber, D., & Obrist, M. K. (2024). Similar temporal patterns in insect richness, abundance and biomass across major habitat types. Insect Conservation and Diversity, 17(1), 139-154. https://doi.org/10.1111/icad.12700
The effect of water temperature changes on biological water quality assessment
Khaliq, I., Chollet Ramampiandra, E., Vorburger, C., Narwani, A., & Schuwirth, N. (2024). The effect of water temperature changes on biological water quality assessment. Ecological Indicators, 159, 111652 (10 pp.). https://doi.org/10.1016/j.ecolind.2024.111652
Harnessing computational methods to characterize chemical impacts on biodiversity
Kosnik, M. B., Schuwirth, N., & Rico, A. (2024). Harnessing computational methods to characterize chemical impacts on biodiversity. Environmental Science and Technology Letters, 11(3), 185-194. https://doi.org/10.1021/acs.estlett.3c00865
Priorisierung der Sanierung künstlicher Fischwanderhindernisse. Unterstützung bei der strategischen Planung der Revitalisierung von Fliessgewässern
Reichert, P., Ambord, I., von Wattenwyl, K., Schläppi, S., Pompini, M., Dönni, W., … Schuwirth, N. (2024). Priorisierung der Sanierung künstlicher Fischwanderhindernisse. Unterstützung bei der strategischen Planung der Revitalisierung von Fliessgewässern. Aqua & Gas, 104(3), 68-72.
A comparison of machine learning and statistical species distribution models: Quantifying overfitting supports model interpretation
Chollet Ramampiandra, E., Scheidegger, A., Wydler, J., & Schuwirth, N. (2023). A comparison of machine learning and statistical species distribution models: Quantifying overfitting supports model interpretation. Ecological Modelling, 481, 110353 (11 pp.). https://doi.org/10.1016/j.ecolmodel.2023.110353
Linking human impacts to community processes in terrestrial and freshwater ecosystems
McFadden, I. R., Sendek, A., Brosse, M., Bach, P. M., Baity‐Jesi, M., Bolliger, J., … Narwani, A. (2023). Linking human impacts to community processes in terrestrial and freshwater ecosystems. Ecology Letters, 26(2), 203-218. https://doi.org/10.1111/ele.14153
Wastewater microorganisms impact microbial diversity and important ecological functions of stream periphyton
Carles, L., Wullschleger, S., Joss, A., Eggen, R. I. L., Schirmer, K., Schuwirth, N., … Tlili, A. (2022). Wastewater microorganisms impact microbial diversity and important ecological functions of stream periphyton. Water Research, 225, 119119 (13 pp.). https://doi.org/10.1016/j.watres.2022.119119
Recent trends in stream macroinvertebrates: warm-adapted and pesticide-tolerant taxa increase in richness
Gebert, F., Obrist, M. K., Siber, R., Altermatt, F., Bollmann, K., & Schuwirth, N. (2022). Recent trends in stream macroinvertebrates: warm-adapted and pesticide-tolerant taxa increase in richness. Biology Letters, 18(3), 20210513 (7 pp.). https://doi.org/10.1098/rsbl.2021.0513
Zeitliche Trends von Makroinvertebraten. Kantonale und nationale Monitoringdaten im Vergleich
Gebert, F., Bollmann, K., Siber, R., & Schuwirth, N. (2022). Zeitliche Trends von Makroinvertebraten. Kantonale und nationale Monitoringdaten im Vergleich. Aqua & Gas, 102(10), 76-82.
Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model
Palamara, G. M., Dennis, S. R., Haenggi, C., Schuwirth, N., & Reichert, P. (2022). Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model. Ecological Modelling, 472, 110076 (13 pp.). https://doi.org/10.1016/j.ecolmodel.2022.110076
Umwelteinflüsse auf häufige Fischgattungen. Auswertung von Fisch-Monitoring-Programmen
Schuwirth, N., Brodersen, J., Caradima, B., & Scheidegger, A. (2022). Umwelteinflüsse auf häufige Fischgattungen. Auswertung von Fisch-Monitoring-Programmen. Aqua & Gas, 102(6), 66-71.
Bridging mechanistic conceptual models and statistical species distribution models of riverine fish
Caradima, B., Scheidegger, A., Brodersen, J., & Schuwirth, N. (2021). Bridging mechanistic conceptual models and statistical species distribution models of riverine fish. Ecological Modelling, 457, 109680 (15 pp.). https://doi.org/10.1016/j.ecolmodel.2021.109680
Impact of wastewater on the microbial diversity of periphyton and its tolerance to micropollutants in an engineered flow-through channel system
Carles, L., Wullschleger, S., Joss, A., Eggen, R. I. L., Schirmer, K., Schuwirth, N., … Tlili, A. (2021). Impact of wastewater on the microbial diversity of periphyton and its tolerance to micropollutants in an engineered flow-through channel system. Water Research, 203, 117486 (14 pp.). https://doi.org/10.1016/j.watres.2021.117486
Confronting existing knowledge on ecological preferences of stream macroinvertebrates with independent monitoring data using a Bayesian multi-species distribution model
Vermeiren, P., Reichert, P., Graf, W., Leitner, P., Schmidt-Kloiber, A., & Schuwirth, N. (2021). Confronting existing knowledge on ecological preferences of stream macroinvertebrates with independent monitoring data using a Bayesian multi-species distribution model. Freshwater Science, 40(1), 202-220. https://doi.org/10.1086/713175
Effects of site selection and taxonomic resolution on the inference of stream invertebrate responses to environmental conditions
Caradima, B., Reichert, P., & Schuwirth, N. (2020). Effects of site selection and taxonomic resolution on the inference of stream invertebrate responses to environmental conditions. Freshwater Science, 39(3), 415-432. https://doi.org/10.1086/709024
Towards an integrated surface water quality assessment: aggregation over multiple pollutants and time
Schuwirth, N. (2020). Towards an integrated surface water quality assessment: aggregation over multiple pollutants and time. Water Research, 186, 116330 (11 pp.). https://doi.org/10.1016/j.watres.2020.116330
Integrating uncertain prior knowledge regarding ecological preferences into multi-species distribution models: effects of model complexity on predictive performance
Vermeiren, P., Reichert, P., & Schuwirth, N. (2020). Integrating uncertain prior knowledge regarding ecological preferences into multi-species distribution models: effects of model complexity on predictive performance. Ecological Modelling, 420, 108956 (15 pp.). https://doi.org/10.1016/j.ecolmodel.2020.108956
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
 

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