<p>Models were validated using background data (a) from the entire region, and (b) from within the minimum convex polygon (MCP) of the current distribution of each species.</p><p>AUC values for 13 of the most abundant tree species, based on number of distribution records, using four climatic variables for three modelling approaches (KSMV, Rpart, GAM).</p
<p>The climatic variables are as follows: mean annual temperature (MAT), mean temperature in the war...
Trees are expected to modify their distribution and abundance in response to climate change with imp...
Spatial distribution modelling can be a useful tool for elaborating conservation strategies for tree...
<p>AIC values of the most likely models are shown in bold. Size, Abiotic, Biotic and All factors cor...
<p>AIC values of the most likely models are shown in bold. Size, Abiotic, Biotic and All factors rep...
A comparison of several statistical techniques common in species distribution modeling was developed...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
The elaboration of conservation strategies at regional scale, dealing with the potential effects of ...
<p>Included tree species richness (<i>v<sub>0</sub></i>), effective tree species number (<i>v<sub>2<...
<p>The methods of evaluation used were AUC, Kappa and TSS. The difference in performance between mod...
<p>Records represent the number of point locality records used to create the model for each species....
<p>Bold numbers indicate the highest AUC score for the season and sex. GLM = Generalized Linear Mode...
<p>AUC mean and threshold values, and the percentage contribution of three most important bioclimati...
<p>The AUC values of the Generalized Linear Models (GLMs) and MaxEnt for each vegetation type.</p
<p>The climatic variables are as follows: mean annual temperature (MAT), mean temperature in the war...
Trees are expected to modify their distribution and abundance in response to climate change with imp...
Spatial distribution modelling can be a useful tool for elaborating conservation strategies for tree...
<p>AIC values of the most likely models are shown in bold. Size, Abiotic, Biotic and All factors cor...
<p>AIC values of the most likely models are shown in bold. Size, Abiotic, Biotic and All factors rep...
A comparison of several statistical techniques common in species distribution modeling was developed...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
The elaboration of conservation strategies at regional scale, dealing with the potential effects of ...
<p>Included tree species richness (<i>v<sub>0</sub></i>), effective tree species number (<i>v<sub>2<...
<p>The methods of evaluation used were AUC, Kappa and TSS. The difference in performance between mod...
<p>Records represent the number of point locality records used to create the model for each species....
<p>Bold numbers indicate the highest AUC score for the season and sex. GLM = Generalized Linear Mode...
<p>AUC mean and threshold values, and the percentage contribution of three most important bioclimati...
<p>The AUC values of the Generalized Linear Models (GLMs) and MaxEnt for each vegetation type.</p
<p>The climatic variables are as follows: mean annual temperature (MAT), mean temperature in the war...
Trees are expected to modify their distribution and abundance in response to climate change with imp...
Spatial distribution modelling can be a useful tool for elaborating conservation strategies for tree...