Range of attributes of the landscapes generated by <i>Simmap</i>.

<p>Generated landscapes are illustrated in colored circles, and compared to 50 real landscape maps as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone-0064968-g002" target="_blank">Figure 2</a>. Colors represent values of the parameter <i>P</i>, the parameter that controls the degree of fragmentation of the obtained patterns.</p

Examples of eight real landscape maps compared to corresponding landscapes generated by <i>G-RaFFe</i>.

<p>Depicted maps have a forest cover of 5, 10, 19, 26, 27, 51, 65, and 90%. Each landscape is compared to a corresponding landscape map generated by <i>G-RaFFe</i> with the parameters that were identified to provide the best match. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone-0064968-g008" target="_blank">Figure 8e</a> (27% FC) was matched by <i>G-RaFFe</i> for only 5 metrics, and 3 for the other models; d,e,g,h were poorly matched by <i>Qrule</i> (<5 metrics matched), while <i>Simmap</i> failed for maps a,b,e,f (matching = 0) and g. For maps d,g, and h <i>Simmap</i> performed better than <i>Qrule</i>. For the parameters of the real and virtual landscapes see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone.0064968.s002" target="_blank">Appendix S2</a>.</p

Input parameters explored by the models <i>G-RaFFe</i>, <i>Qrule</i> and <i>Simmap</i>.

<p>Parameter values are provided for a given value of habitat cover.</p>*<p>value of the formula y = <i>a·x^b</i> to determine the relation between the number of roads and habitat cover.</p>**<p>The parameter m is somewhat comparable to field size – see main text.</p>***<p>values used only for exploring the impact of the parameter. For comparisons between models and real landscapes, we used only the parameter values 0 and 3.</p

Attributes of the landscapes generated by <i>Dinamica</i> (version 4).

<p>Generated landscapes are illustrated in colored circles, and compared to 50 real landscape maps as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone-0064968-g002" target="_blank">Figure 2</a>. Results illustrate <i>Dinamica</i> in the most complex model version 4. Colors represent values of the parameter <i>patch generation parameter 3</i>, the parameter that controls patch isometry. For model versions 1–3 see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone.0064968.s001" target="_blank">Appendix S1</a>.</p

Attributes of the landscapes generated by <i>G-RaFFe</i>.

<p>Generated landscape parameters are illustrated in colored circles, and compared to 50 real landscape maps (full triangles) according to six explored landscape attributes, each against habitat cover: a) Number of patches, b) Average patch size, c) Largest patch index, d) Average distance between patches, e) Landscape Shape Index, and (f) Patch cohesion. The colors represent the effect of the number of roads, expressed by the combination of parameters (<i>a,b</i>) that determines the relation between habitat cover and the number of roads. Overlaps between parameter outputs cannot be seen due to color dominance.</p

Effect of dominant land-use type on landscape simulator performance.

<p>Values represent the average number of landscape metrics that were simultaneously matched (± SE). Din. V = <i>Dinamica</i> version.</p

Processes and number of parameters included in the different model versions of <i>Dinamica</i>.

<p>The table delineates the processes included, number of parameters explored (# Param.), and how these were included in the different model versions of <i>Dinamica</i>. For convenience of replicating these model versions, we provide the syntax for landscape generation. For a full list of parameters and further guidelines see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone.0064968.s001" target="_blank">Appendix S1</a>.</p>*<p><i>To activate patch creation processes go to the Dinamica function “Allocate Transitions”</i>.</p>**<p><i>Road creation was performed prior to patch creation and expansion</i>.</p>***<p><i>weights of evidence (w) alone had a total of 7 parameters (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0064968#pone.0064968.s001" target="_blank">Appendix S1</a>)</i>.</p

Strength of effect of <i>G-RaFFe</i>'s main parameters on landscape attributes.

<p>Multiple regression analysis and partial regression analysis between model parameters (number of roads, field size and maximum field disconnection) and a) the Number of patches, b) Average patch size, c) Largest Patch Index (LPI), d) Euclidian distance between patches, e) Landscape Shape Index (LSI), and f) patch cohesion.</p

Results of Multiple Regression to assess sources of model variability in <i>G-RaFFe</i>.

<p>We depict the parameter coefficients of the acting parameters Road, Field Size and Maximum Field Disconnection (F.Dis.) as well as the direction and strength of effect of the two most important factors, namely forest cover and the number of roads.</p>*<p> = P<0.05.</p