Relative influence of predictor variables in models of climatic suitability for boosted regression trees (BRT), generalized additive models (GAM), generalized linear models (GLM) and random forests (RF).</p
<p>Final regression model of drought impact patch hotspots (2-km kernel density) as a function of en...
Aim This study used data from temperate forest communities to assess: (1) five different stepwise se...
<p>Partial dependence plots showing fitted functions of each of the top five influential variables c...
Generalized additive models were not used as the number of distribution records was insufficient for...
Model evaluation is based on the known distribution of the species on the island and an equal number...
<p>Relative influence of each environmental variable from three categories (physical, land use and c...
In defining the environmental preferences of plant species, statistical models are part of the essen...
In defining the environmental preferences of plant species, statistical models are part of the essen...
GLM-based relations between the 18 individual predictor variables and tree species richness.</p
<p>Relative influence of each of the variables (climate, land cover and physical) on each of the fou...
1. Bioclimatic variables (BCVs) are routinely used in potential distribution models, typically witho...
<p>Heuristic comparison of variable importance by SDM model, with size scaled relative to the highes...
<p>The graphs show Observed vs. Fitted tree occurrences (A) and smoothed partial contributions withi...
<p>Boosted Regression Trees fitted model showing the relative importance of influential factors of u...
*<p>Parameters in bold have significant coefficients (<i>p</i><0.05). For the forest biome study, el...
<p>Final regression model of drought impact patch hotspots (2-km kernel density) as a function of en...
Aim This study used data from temperate forest communities to assess: (1) five different stepwise se...
<p>Partial dependence plots showing fitted functions of each of the top five influential variables c...
Generalized additive models were not used as the number of distribution records was insufficient for...
Model evaluation is based on the known distribution of the species on the island and an equal number...
<p>Relative influence of each environmental variable from three categories (physical, land use and c...
In defining the environmental preferences of plant species, statistical models are part of the essen...
In defining the environmental preferences of plant species, statistical models are part of the essen...
GLM-based relations between the 18 individual predictor variables and tree species richness.</p
<p>Relative influence of each of the variables (climate, land cover and physical) on each of the fou...
1. Bioclimatic variables (BCVs) are routinely used in potential distribution models, typically witho...
<p>Heuristic comparison of variable importance by SDM model, with size scaled relative to the highes...
<p>The graphs show Observed vs. Fitted tree occurrences (A) and smoothed partial contributions withi...
<p>Boosted Regression Trees fitted model showing the relative importance of influential factors of u...
*<p>Parameters in bold have significant coefficients (<i>p</i><0.05). For the forest biome study, el...
<p>Final regression model of drought impact patch hotspots (2-km kernel density) as a function of en...
Aim This study used data from temperate forest communities to assess: (1) five different stepwise se...
<p>Partial dependence plots showing fitted functions of each of the top five influential variables c...