Table 3 Results of the Partial Least Squares regression (PLS-R) of the genetic indices by the capacity, flux and betweenness centrality metrics. For each genetic index and patch capacity weighting parameter for computing F and BC (β value), the best model according to the Q² associated with the first PLS component (Q².t1) is displayed (largest Q² value for each genetic index displayed in italics). When β is equal to 1, patch capacities are included in the metric calculation and not otherwise (β = 0). MDD indicates the distance at which the dispersal probability is set to 0.05 for the metric calculation. For the cost scenarios, refer to Table 1. The r.t1 column gives the Pearson correlation coefficient between the PLS components t1 and the habitat metrics. These values are displayed in bold when the metrics significantly contribute to the construction of the PLS components. R².t1 and Q².t1 values associated with the first component respectively indicate the proportion of the response variable variance and the cross-validated proportion of this variance explained by each PLS component. Q² values above 0.0975 indicate that the PLS component has a significant effect on the response variable and are displayed in bold. Q².t2 values associated with the second component are also displayed for information purposes. miw_comp.dps and miw_prun.dps refer to the MIW-D_PS computed from complete and pruned genetic graphs respectively (similar notation for the MIW-F_ST).

From: Assessing the influence of the amount of reachable habitat on genetic structure using landscape and genetic graphs