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Supporting information

Table S1. R code used to run the linear mixed effect model of fruit yield. The model was run using the function lme, with treatment (control, ant-excluded) as a fixed factor and year as a random factor.

Table S2. Summary of the analysis of variance (ANOVA) of ant and earwig abundance between ant-excluded and control trees for every year of the present study. The dependent variable of the linear model was the square root of the mean abundance of ants (earwigs) on each tree from February to December, and the independent variable was the treatment (control, ant-excluded). The effect size was calculated as the difference in mean values of the transformed abundance between control and ant-excluded trees. A positive effect size indicates greater abundance in control than in ant-excluded trees. The number of degrees of freedom of the F statistic is 1 and 14, except in 2002 (1 and 13) and in 2009 (1 and 16).

Table S3. Summary of the analysis of variance (ANOVA) conducted on each individual arthropod groups abundance for every year between ant-excluded and control trees. The dependent variable was the square root of the mean abundance of each arthropod group on each tree from February to December. The effect size was calculated as the difference in mean values of the transformed abundance between control and ant-excluded trees. A negative effect size indicates greater abundance in ant-excluded than in control trees. Codes for arthropod groups: ARA, Araneae; NEU, Neuroptera; APH, Sternorrhyncha Aphididae; HYM, Hymenoptera excluding Formicidae; DIP, Diptera; PSO, Psocoptera; HET, Heteroptera; COL, Coleoptera; STE, Sternorrhyncha excluding Aphididae.

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