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Individual energy dynamics reveal nonlinear interaction of stressors threatening migratory fish populations
Chaparro-Pedraza, P. C., & de Roos, A. M. (2021). Individual energy dynamics reveal nonlinear interaction of stressors threatening migratory fish populations. Functional Ecology, 35(3), 727-738. https://doi.org/10.1111/1365-2435.13751
The intrinsic predictability of ecological time series and its potential to guide forecasting
Pennekamp, F., Iles, A. C., Garland, J., Brennan, G., Brose, U., Gaedke, U., … Petchey, O. L. (2019). The intrinsic predictability of ecological time series and its potential to guide forecasting. Ecological Monographs, 89(2), e01359 (17 pp.). https://doi.org/10.1002/ecm.1359
The rate of environmental fluctuations shapes ecological dynamics in a two-species microbial system
Rodríguez-Verdugo, A., Vulin, C., & Ackermann, M. (2019). The rate of environmental fluctuations shapes ecological dynamics in a two-species microbial system. Ecology Letters, 22(5), 838-846. https://doi.org/10.1111/ele.13241
Defensive symbionts mediate species coexistence in phytophagous insects
Hertäg, C., & Vorburger, C. (2018). Defensive symbionts mediate species coexistence in phytophagous insects. Functional Ecology, 32, 1057-1064. https://doi.org/10.1111/1365-2435.13040
Eco-evolutionary feedbacks promote fluctuating selection and long-term stability of antagonistic networks
de Andreazzi, C. S., Guimarães, P. R., & Melián, C. J. (2018). Eco-evolutionary feedbacks promote fluctuating selection and long-term stability of antagonistic networks. Proceedings of the Royal Society B: Biological Sciences, 285(1874), 20172596 (9 pp.). https://doi.org/10.1098/rspb.2017.2596
Synthetic microbial ecology and the dynamic interplay between microbial genotypes
Dolinšek, J., Goldschmidt, F., & Johnson, D. R. (2016). Synthetic microbial ecology and the dynamic interplay between microbial genotypes. FEMS Microbiology Reviews, 40(6), 961-979. https://doi.org/10.1093/femsre/fuw024
Considering microbial and aggregate heterogeneity in biofilm reactor models: how far do we need to go?
Vannecke, T. P. W., Wells, G., Hubaux, N., Morgenroth, E., & Volcke, E. I. P. (2015). Considering microbial and aggregate heterogeneity in biofilm reactor models: how far do we need to go? Water Science and Technology, 72(10), 1692-1699. https://doi.org/10.2166/wst.2015.389
Stocking of captive-bred fish can cause long-term population decline and gene pool replacement: predictions from a population dynamics model incorporating density-dependent mortality
Satake, A., & Araki, H. (2012). Stocking of captive-bred fish can cause long-term population decline and gene pool replacement: predictions from a population dynamics model incorporating density-dependent mortality. Theoretical Ecology, 5(2), 283-296. https://doi.org/10.1007/s12080-011-0128-y
Activated sludge modelling: past, present and future
Gujer, W. (2006). Activated sludge modelling: past, present and future. Water Science and Technology, 53(3), 111-119. https://doi.org/10.2166/wst.2006.082
Modelling seasonal dynamics of "<I>Microthrix parvicella</I>"
Hug, T., Gujer, W., & Siegrist, H. (2006). Modelling seasonal dynamics of "Microthrix parvicella". Water Science and Technology, 54(1), 189-198. https://doi.org/10.2166/wst.2006.387
Modeling seasonal dynamics of "Microthrix parvicella"
Hug, T., Gujer, W., & Siegrist, H. (2005). Modeling seasonal dynamics of "Microthrix parvicella". In Proceedings of the 4th IWA activated sludge population dynamics specialist conference (pp. 201-208). sine nomine.
Membrane bioreactor versus conventional activated sludge system: population dynamics of nitrifiers
Manser, R., Gujer, W., & Siegrist, H. (2005). Membrane bioreactor versus conventional activated sludge system: population dynamics of nitrifiers. Water Science and Technology, 52(10-11), 417-425. https://doi.org/10.2166/wst.2005.0719
Mechanisms regulating zooplankton populations in a high-mountain lake
Winder, M., Bürgi, H. R., & Spaak, P. (2003). Mechanisms regulating zooplankton populations in a high-mountain lake. Freshwater Biology, 48(5), 795-809. https://doi.org/10.1046/j.1365-2427.2003.01054.x
Population dynamics by methanol addition in denitrifying wastewater treatment plants
Purtschert, I., & Gujer, W. (1999). Population dynamics by methanol addition in denitrifying wastewater treatment plants. Water Science and Technology, 39(1), 43-50. https://doi.org/10.1016/S0273-1223(98)00774-4
Development of a mathematical model for "aerobic bulking"
Kappeler, J., & Gujer, W. (1994). Development of a mathematical model for "aerobic bulking". Water Research, 28(2), 303-310. https://doi.org/10.1016/0043-1354(94)90268-2
Verification and applications of a mathematical model for "aerobic bulking"
Kappeler, J., & Gujer, W. (1994). Verification and applications of a mathematical model for "aerobic bulking". Water Research, 28(2), 311-322. https://doi.org/10.1016/0043-1354(94)90269-0
Modelling the spatial distribution and dynamics of a xylene-degrading microbial population in a membrane-bound biofilm
Wanner, O., Debus, O., & Reichert, P. (1994). Modelling the spatial distribution and dynamics of a xylene-degrading microbial population in a membrane-bound biofilm. Water Science and Technology, 29(10-11), 243-251. https://doi.org/10.2166/wst.1994.0767
Bulking in activated sludge systems: a qualitative simulation model for <I>Sphaerotilus natans</I>, Type 021N and Type 0961
Kappeler, J., & Gujer, W. (1992). Bulking in activated sludge systems: a qualitative simulation model for Sphaerotilus natans, Type 021N and Type 0961. Water Science and Technology, 26(3-4), 473-482. https://doi.org/10.2166/wst.1992.0427
Significance of spatial distribution of microbial species in mixed culture biofilms
Fruhen, M., Christan, E., Gujer, W., & Wanner, O. (1991). Significance of spatial distribution of microbial species in mixed culture biofilms. Water Science and Technology, 23(7-9), 1365-1374. https://doi.org/10.2166/wst.1991.0589