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gcb2540-sup-0001-AppendixS1.docxWord document124KAppendix S1. Mean daily water temperature in mesocosms with (warmed) and without (unwarmed) continuous heating with a 300 W submersible aquarium heater, over the course of the 17-month experiment (June 2009–September 2010). Warming increased the daily average water temperature by 2.98 ± 0.07 °C (mean ± SE).
gcb2540-sup-0002-AppendixS2.docxWord document15KAppendix S2. The taxonomic composition of adult insects emerging from the mesocosms over the duration of the experiment.
gcb2540-sup-0003-AppendixS3.docxWord document15KAppendix S3. Mixed effects linear model of the biomass flux of emerging adult aquatic insects (mg × m2 × day) over 7 months. Time refers to each of the fourteen 2-weekly intervals. The model included an AR(1) error structure to account for first-order temporal autocorrelation. Comparisons of models with AIC and plots of temporal autocorrelation indicated the AR(1) error structure significantly improved model fit.
gcb2540-sup-0004-AppendixS4.docxWord document108KAppendix S4. Cumulative proportional aquatic insect emergence for (a) control, (b) nutrient, (c) fish, and (d) nutrients + fish treatments with and without warming. Curves are drawn from mean (± SE) cumulative emergence proportions of five replicate mesocosms at each date. Warming accelerated emergence (steeper curve) in all treatments except nutrients + fish (d), and the effect was strongest in the presence of fish (c). Fish delayed insect emergence [lower slopes in (c) and (d)] especially in the absence of nutrients and warming (c).
gcb2540-sup-0005-AppendixS5.docxWord document19KAppendix S5. Summary of the mixed effects linear model of loge-transformed leaf decomposition rates (k day−1) in spring and summer (Season main effect). Models were run with and without an AR(1) error structure to account for first-order temporal autocorrelation. Plots of temporal autocorrelation indicated weak autocorrelation between seasons (<0.4) which did not change when an AR(1) error structure was included. Consequently, the AR(1) error term was not retained in the final model.
gcb2540-sup-0006-AppendixS6.docxWord document18KAppendix S6. Mixed effects linear model of the mean biomass of primary consumers in leaf packs in spring and summer (Season main effect). Models were run with and without an AR(1) error structure to account for first-order temporal autocorrelation. Plots of temporal autocorrelation indicated weak autocorrelation between seasons (<0.4) which did not change when an AR(1) error structure was included. Consequently, the AR(1) error term was not retained in the final model.
gcb2540-sup-0007-AppendixS7.docxWord document76KAppendix S7. Mean biomass of periphyton (as chlorophyll-a) on benthic tiles. One 25 cm2 terracotta tile was added to each tank on 9 June 2009 and was removed on 4 February 2010. Tiles were brushed and filtered on to a Whatman GF/F filter paper, which was then immersed in 90% acetone to extract pigments. Biomass of chlorophyll-a was estimated with the nonacidification method on a Turner Trilogy Flourometer. Factorial anova revealed strong positive effect of nutrients (P < 0.0001) on periphyton biomass. No other effects were significant.

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