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Table 1.

Heuristic interpretation of the nondimensional parameters in Eq 1.

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Table 1 Expand

Fig 1.

An example of the qualitative dynamics of the 1D model from t = 0 to t = 10.

In dimensional terms, this corresponds to an invasion over a domain approximately 10km square after about 100 years (for a discussion of the dynamics of the invasion process see [36]). Parameter values are as in [36]. Values of A near one represent dense forest near carrying capacity, while values near zero represent largely uninvaded areas.

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Fig 1 Expand

Fig 2.

The state of an invasion on a 2D domain at t = 10.

Dimensional in this and following figures are as in the previous figure.

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Fig 2 Expand

Fig 3.

Random variates are created to form a grid of size N + 2 × N + 2 (white, hollow dots).

At each of the N × N inner grey dots ρ0 is calculated by averaging the value of α across the nine neighbouring points on the lattice. At some xi,j = (xi, yj) the neighbouring points are shown larger and in dark grey.

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Fig 3 Expand

Fig 4.

A typical resolution of the random field.

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Fig 4 Expand

Fig 5.

The state of A at t = 7 (left) and t = 10 (right) for the values of ρ0 given in Fig 4.

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Fig 5 Expand

Fig 6.

The proportion of points (xi, yj) on the lattice with A(xi, yj, 10) > T for varying T, with results for a constant value of ρ0 (red squares) and results for randomly generated values of ρ0 (black circles).

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Fig 6 Expand

Fig 7.

Histogram of the distribution of final signed distances for varying ρ0 (left). Histogram of the distribution of final signed distances for constant ρ0 (right).

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Fig 7 Expand

Fig 8.

Evolution of the mean of the distance from the origin over an invasion for varying ρ0 (solid line) and constant ρ0 = 1 (dashed line).

For the constant case Δx was set to 10−2 to eliminate discretisation artefacts (results were otherwise similar for Δx = 10−1).

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Fig 8 Expand

Fig 9.

The mean of distance of ‘invaded’ points from the initial condition for varying ρ0 (black solid lines) and a linear fit of the mean distance (red solid lines).

The corresponding data for constant ρ0 is shown with dashed lines.

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Fig 9 Expand

Fig 10.

Averaged evolution of the mean distance of invaded cells to the initial condition across one thousand iterations.

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Fig 10 Expand

Table 2.

Combinations of distributions and parameters considered (note that truncnorm(a, b, c, d) refers to a truncated normal distribution with bounds a and b and with μ = c, σ2 = d).

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Table 2 Expand

Fig 11.

Mean distances from invaded cells to the initial condition over time (left) and proportion of points invaded at t = 10 for differing thresholds (right) for ρ0S(X1) (solid black line), ρ0S(X2) (dashed black line), ρ0S(X3) (dotted black line) and ρ0 = 1 (dashed red line).

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Fig 11 Expand

Fig 12.

Representative states for ρ0S(X1) (top left), ρ0S(X2) (top right) and ρ0S(X3) (bottom) at t = 10.

See bottom left for the scale for all three states.

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Fig 12 Expand

Fig 13.

Mean distances from invaded cells to the initial condition over time (left) and proportion of points invaded at t = 10 for differing thresholds (right) for κS(X1) (solid black line), κS(X2) (dashed black line), κS(X3) (dotted black line) and κ = 1 (dashed red line).

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Fig 13 Expand

Fig 14.

Representative states for κS(X1) (top left), κS(X2) (top right) and κS(X3) (bottom) at t = 10.

See bottom left for the scale for all three states (note that this is different to that of the previous two figures).

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Fig 14 Expand

Fig 15.

Mean distances from invaded cells to the initial condition over time (left) and proportion of points invaded at t = 10 for differing thresholds (right) for γS(X1) (solid black line), γS(X2) (dashed black line), γS(X3) (dotted black line) and γ = 1 (dashed red line).

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Fig 15 Expand

Fig 16.

Representative states for γS(X1) (top left), γS(X2) (top right) and γS(X3) (bottom) at t = 10.

See bottom left for the scale for all three states.

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Fig 16 Expand

Table 3.

Spatial spread rates for each of the combinations of parameters and distributions considered (rounded to two decimal places).

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Table 3 Expand

Table 4.

Times of the onset of spatial spread for each of the combinations of parameters and distributions considered (rounded to two decimal places).

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Table 4 Expand

Fig 17.

The distribution of A at t = 10 for a model with an advective term (ν ≈ (1, 0)) and ρ0S(X1).

Note that the initial condition in this case is a circular ‘blob’ of width 0.4 rather than a thin line as in previous plots.

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Fig 17 Expand

Fig 18.

An aerial photo of an invasive population (note that the origin of this population appears to have been in the upper right-hand corner of this figure) from near Lake Pukaki, New Zealand.

Further details and earlier images of this site can be found in [41]. Image sourced from the LINZ Data Service and licensed by The Canterbury Aerial Imagery (CAI) consortium for reuse under a CC BY 4.0 license.

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Fig 18 Expand