Extended Data Fig. 9: Correlation between seasonality and disturbance.
From: Climate-driven variation in dispersal ability predicts responses to forest fragmentation in birds
At the local landscape level (a), seasonality is calculated as the standard deviation of mean monthly temperature values throughout the year at the landscape centroid (n = 31). High disturbance means 50% of the study landscape area overlaps areas of high natural (for example storms, glaciers, fires) or Anthropogenic (for example forest loss). Boxplots show median, interquartile range, and whiskers to extreme values (outliers are data points >1.5x quartiles). Statistics are from a two-sided Wilcoxon test. At the species level (b), community mean values (n = 31), are calculated using species’ distributional seasonality and disturbance scores. Disturbance is calculated as the proportion of the species breeding range which overlaps areas of high natural (for example storms, glaciers, fires) or anthropogenic (for example forest loss) disturbance. Seasonality is calculated as the standard deviation of mean monthly temperature values throughout the year, averaged across all grid cells in the species’ breeding range. Statistics are from a linear regression with Gaussian errors; purple line shows model fit; shaded area is 95% confidence intervals.
