Estimating the risk of species interaction loss in mutualistic communities

S1 Data. Data underlying Fig 2. x = vulnerability values; y = importance values; x_pred = best-fit line vulnerability values; y_pred = best-fit line importance values; plo = best-fit line lower confidence interval; phi = best-fit line upper confidence interval.<br>S2 Data. Data underlying S1 Figure. x = vulnerability values; y = importance values; x_pred = best-fit line vulnerability values; y_pred = best-fit line importance values; plo = best-fit line lower confidence interval; phi = best-fit line upper confidence interval.<br><br>S3 Data. Data underlying S2 Figure. x = x axis values; y = y axis values; x_pred = best-fit line x values; y_pred = best-fit line y values; plo = best-fit line lower confidence interval; phi = best-fit line upper confidence interval; panel = which panel of S2 Figure the data correspond to.<br>S4 Data. Data underlying S6 Figure. vulnerability = the vulnerability values; included = whether the link was included in the analysis or was excluded (see Methods). <br>S5 Data. Data underlying Figure A in S4 Analysis.<br>S6 Data. Data underlying Figure B in S4 Analysis. Estimates = slope of relationship between feasibility contribution and generalisation; rhos = rho; deltas = delta; gthreshs = average mutualistic benefit.<br>S7 Data. Data underlying Figure C in S4 Analysis. Estimates = slope of relationship between feasibility contribution and generalisation; rhos = rho; deltas = delta; gthreshs = average mutualistic benefit.<br>S8 Data. Data underlying Figure A in S5 Analysis. Measure = type of abundance used; probability = abundance-driven interaction probability; frequency = observed interaction frequency. <br>S9 Data. Data underlying Fig 3, and S4 Figure. taxonomic_level = taxonomic level; property = aizen_freq (frequency), aizen_gen (generalisation), vulnerability or importance (feasibility contribution).<br>S10 Data. Data underlying S3 Figure, and S5 Figure. taxonomic_level = taxonomic level; property = aizen_freq (frequency), aizen_gen (generalisation), vulnerability or importance (feasibility contribution).