Appendix A. Positive relationship between crop centrality and pollination service [Dataset]

26 pages. -- Table A1. General information of the study farms. -- Table A2. Sampling completeness (SC) values for each study farm. -- Table A3. Number of virgin flowers used for each pollination treatment. -- Table A4. Results of Variance Inflation Factor (VIF) analysis for the quantitative predictor variables of the full model. -- Table A5. Subset of alternative models (∆AICc < 4) obtained by automated model selection (MuMIn package). -- Table A6. Results of the GLMMs conducted for each study area (RC and VT). -- Table A7. Pollinators at each farm accordingly to crop species. -- Table A8. Plant species found at crop edges across the 14 study farms. -- Table A9. Plant species found at crop edges in each of the study farms. -- Table A10. Output of the best GLMM (after model selection, see main text) with binomial error distribution and logit link function. -- Table A11. Output of the GLMM with binomial error distribution and logit link function. -- Fig. A1. Quantitative plant-pollinator interaction networks. -- Fig. A2 Relationship between crop seed set and centrality for a) RC area, and b) VT area, using a mixed-effects logistic regression. -- Fig. A3 Relationship between crop seed set and a) crop dependence on pollinators (Dependence), b) richness of crop pollinators (P richness), as found using a mixed-effects logistic regression. -- Fig. A4 Relationship between crop weighted closeness centrality (closeness centrality) and a) the richness of floral attraction units (FAU) at crop edges, and b) edges’ FAU abundance (log-transformed), using a mixed-effects logistic regression.Peer reviewe