Figure captions.
Figure 1. Population model results across the management space: varying the timing of targeted gene flow (years) and the proportion of pre-adapted individuals introduced. (a) The probability of extinction (x ; blue = high chance of extinction) for varying implementations of targeted gene flow; (b) The Gini-Simpson index of diversity (D ; yellow = high diversity of alleles present) averaged across simulations; and (c) Expected return of management action (i.e. the diversity measure of the surviving population) calculated by E(Y ) = D ยท (1 - x ). The bins represent an expected return of 90% (inner) and 50% (outer).
Figure 2. Global sensitivity analysis exploring three-dimensional parameter space: carrying capacity (N* : represented by point colours), maximum demographic pressure (m : represented in panels) and heritability (h2 : represented as point shapes). Showing (a) Maximum expected return (E(Y )) from a scenario, with outbreeding depression held constant at 10%; (b) displays the location in management space (the timing of targeted gene flow and the proportion of pre-adapted individuals introduced) that produced the maximum expected return(E(Y ) in (a).
Figure 3 . Population model results across our management space considering 0% (a), 10% (b) and 50% (c) reduction in fitness for F1 hybrids on the expected return of a management action (i.e. the diversity measure of the surviving population). Bins represent expected return of 90% (inner) and 50% (outer).
Figure 4. Global sensitivity analysis exploring three-dimensional parameter space: outbreeding depression: represented by point colours), maximum demographic pressure (m : represented in panels) and heritability (h2 : represented as point shapes). Showing (a) Maximum expected return (E(Y )) from a scenario, with carrying capacity held constant at 1000 individuals. Part (b) displays the location in management space (the timing of targeted gene flow and the proportion of pre-adapted individuals introduced) that produced the maximum expected return(E(Y )) in (a).
Figure 5. Global sensitivity analysis exploring three-dimensional parameter space: reproductive rate: represented by point colours), maximum demographic pressure (m : represented in panels) and heritability (h2 : represented as point shapes). Showing (a) Maximum expected return (E(Y )) from a scenario, with carrying capacity held constant at 1000 individuals. Part (b) displays the location in management space (the timing of targeted gene flow and the proportion of pre-adapted individuals introduced) that produced the maximum expected return(E(Y )) in (a).
Figure 6. Population model results across the management space varying the timing of targeted gene flow (years) and the proportion of pre-adapted individuals introduced. Expected return of a given management action set for a low rate environmental change (m = 0.15) (a); a medium level of change (m = 0.3) (b); and a severe level of environmental change (m = 1) (c). The bins represent an expected return of 90% (inner) and 50% (outer).