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jane12192-sup-0001-TableS1-S6.docxWord document29K

Table S1-1. Results of the optimal GLMM model for the effect of treatment on the mass of benthic invertebrates ingested by large fish group, with streams and blocks within each stream as random effects.

Table S1-2. Results of the optimal GLMM model for the effect of treatment on the mass of benthic invertebrates ingested by small fish group, with streams and blocks within each stream as random effects.

Table S2. Results of the GLMM model for the effect of treatment on the scraper biomass, with streams and blocks within each stream as random effects.

Table S3. Results of the GLMM model for the effect of treatment on the periphyton biomass, with streams and blocks within each stream as random effects.

Table S4-1. Results of the optimal GLMM model (df = 5, χ2 = 52·35, P < 0·0001, Pseudo R2 = 0·39) for the effect of treatment and period on the drift foraging attempt of large fish class, with individual as random effects.

Table S4-2. Results of the optimal GLMM model (df = 5, χ2 = 51·56, P < 0·0001, Pseudo R2 = 0·52) for the effect of treatment and period on the drift foraging attempt of small fish class, with individual as random effects.

Table S5. Results of the optimal GLMM model (df = 1, χ2 = 34·16, P < 0·0001, Pseudo R2 = 0·35) for the effect of period on the aggressive behavior of large fish class, with individual as random effects.

Table S6-1. Results of the optimal GLMM model (df = 2, χ2 = 11·53, P = 0·003, Pseudo R2 = 0·26) for the effect of treatment on the benthic foraging attempt of large fish class, with individual as random effects.

Table S6-2. Results of the optimal GLMM model (df = 2, χ2 = 8·66, P = 0·013, Pseudo R2 = 0·14) for the effect of treatment on the benthic foraging attempt of small fish class, with individual as random effects.

jane12192-sup-0002-DataS1.docxWord document18KData S1. Detailed information on the behavioral observation.

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