<p>The relationship between ignorance score and six environmental variables: elevation, slope, road density, path density, population density and log population density, for each taxonomic group studied when O<sub>0.5</sub> = 1. Solid line indicates quadratic relationship, while dashed line indicates that only a linear relationship improved the model fit compared to the null model (only best models are drawn).</p
<p>These correspond to three boxes of the conceptual model highlighted as the Telephone Survey Fores...
<p>Relationship between the NMDS scores (derived on only one axis) and the percentage of pioneer ste...
Some basic models in science are not grounded in what we know but in careful specifying of the limit...
<p>(A), distance between populations and road (Road 1, Road 2, Road 3, and Road 4 represent rural sa...
<p>Environmental variables ranked according to the proportion of explained variation in the composit...
<p>The percent deviance explained (R<sup>2</sup>) when each geographic variable was modelled indepen...
<p><b>Map accuracies measured with (A) a kappa coefficient of agreement and (B) the overall accuracy...
<p>(A) Alien species richness (number of species per plot) as a function of elevation. Roadside plot...
<p>The solid circle and solid line (green), solid square and dotted line (yellow) and solid triangle...
<p>The geographic variables used to explain ignorace (elevation, slope, road density, path density, ...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
<p>Pearson's correlations between parameters of road density, human population density and percent f...
Based on an analysis of 100 species-area relationships Connor and McCoy (1979) concluded that none o...
<p>Family, genus, species, common name, and Pearson correlations of environmental variables with eac...
<p>Heuristic comparison of variable importance by SDM model, with size scaled relative to the highes...
<p>These correspond to three boxes of the conceptual model highlighted as the Telephone Survey Fores...
<p>Relationship between the NMDS scores (derived on only one axis) and the percentage of pioneer ste...
Some basic models in science are not grounded in what we know but in careful specifying of the limit...
<p>(A), distance between populations and road (Road 1, Road 2, Road 3, and Road 4 represent rural sa...
<p>Environmental variables ranked according to the proportion of explained variation in the composit...
<p>The percent deviance explained (R<sup>2</sup>) when each geographic variable was modelled indepen...
<p><b>Map accuracies measured with (A) a kappa coefficient of agreement and (B) the overall accuracy...
<p>(A) Alien species richness (number of species per plot) as a function of elevation. Roadside plot...
<p>The solid circle and solid line (green), solid square and dotted line (yellow) and solid triangle...
<p>The geographic variables used to explain ignorace (elevation, slope, road density, path density, ...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
<p>Pearson's correlations between parameters of road density, human population density and percent f...
Based on an analysis of 100 species-area relationships Connor and McCoy (1979) concluded that none o...
<p>Family, genus, species, common name, and Pearson correlations of environmental variables with eac...
<p>Heuristic comparison of variable importance by SDM model, with size scaled relative to the highes...
<p>These correspond to three boxes of the conceptual model highlighted as the Telephone Survey Fores...
<p>Relationship between the NMDS scores (derived on only one axis) and the percentage of pioneer ste...
Some basic models in science are not grounded in what we know but in careful specifying of the limit...