<p><i>Edge</i>-whether or not there was a range edge within the study area; <i>Count-</i>The number of occurrence points within the dataset; <i>cSDM AUC-</i>The area under the curve of the receiver operator characteristic for the climate species distribution model; <i>ecSDM AUC-</i> The area under the curve of the receiver operator characteristic for the edaphic-climate species distribution model</p
<p>Prediction accuracy was measured for each species by AUC, sensitivity, and specificity of the ent...
International audienceClimate is one of the main factors driving species distributions and global bi...
<p>Current predicted species richness for full model (A) and climatic model (B).</p
<p><i>TSS</i>-true skill statistic and <i>AUC</i>-the area under the receiver operating characterist...
<p>Average area under the curve of the receiver operator characteristic (AUC) for each species (mean...
<p>The positive and negative rates show the models ability to correctly predict presence and absence...
<p>The methods of evaluation used were AUC, Kappa and TSS. The difference in performance between mod...
Predicting species’ potential geographical range by species distribution models (SDMs) is central to...
International audienceAim: Statistical species distribution models (SDMs) are the most common tool t...
The need to proactively manage landscapes and species to aid their adaptation to climate change is w...
International audienceAim: Species distribution modelling, a family of statistical methods that pred...
<div><p>Both climatic and edaphic conditions determine plant distribution, however many species dist...
Species–climate 'envelope' models are widely used to evaluate potential climate change impacts upon ...
<p>Prediction accuracy was measured for each species by AUC, sensitivity, and specificity of the ent...
International audienceClimate is one of the main factors driving species distributions and global bi...
<p>Current predicted species richness for full model (A) and climatic model (B).</p
<p><i>TSS</i>-true skill statistic and <i>AUC</i>-the area under the receiver operating characterist...
<p>Average area under the curve of the receiver operator characteristic (AUC) for each species (mean...
<p>The positive and negative rates show the models ability to correctly predict presence and absence...
<p>The methods of evaluation used were AUC, Kappa and TSS. The difference in performance between mod...
Predicting species’ potential geographical range by species distribution models (SDMs) is central to...
International audienceAim: Statistical species distribution models (SDMs) are the most common tool t...
The need to proactively manage landscapes and species to aid their adaptation to climate change is w...
International audienceAim: Species distribution modelling, a family of statistical methods that pred...
<div><p>Both climatic and edaphic conditions determine plant distribution, however many species dist...
Species–climate 'envelope' models are widely used to evaluate potential climate change impacts upon ...
<p>Prediction accuracy was measured for each species by AUC, sensitivity, and specificity of the ent...
International audienceClimate is one of the main factors driving species distributions and global bi...
<p>Current predicted species richness for full model (A) and climatic model (B).</p