<p>Two most influential predictor variables for GLO and FIA species distribution models by species and values of the predictor variables for predicted presence (probabilities ≥75%) and predicted absence (probabilities <75%) of the species in the Eastern Broadleaf Forest.</p
Species distribution models are increasingly used to address conservation questions, so their predic...
Predicting and explaining species occurrence using environmental characteristics is essential for na...
GLM-based relations between the 18 individual predictor variables and tree species richness.</p
<p>Two most influential predictor variables for GLO and FIA species distribution models by species a...
In past decades, a variety of statistical techniques have been used and developed to predict species...
<p>Top ten variables shown in descending order of rank. Variable categories were denoted by W (wetla...
A comparison of several statistical techniques common in species distribution modeling was developed...
1. Species distribution models are increasingly used to address conservation questions, so their pre...
Ecological theory and current evidence support the validity of various species response curves accor...
Data characteristics and species traits are expected to influence the accuracy with which species' d...
1. Species distribution models are increasingly used to address conservation questions, so their pre...
Ecological theory and current evidence support the validity of various species response curves accor...
Data characteristics and species traits are expected to influence the accuracy with which species' d...
Predicting species' potential geographical range by species distribution models (SDMs) is central to...
Data characteristics and species traits are expected to influence the accuracy with which species' d...
Species distribution models are increasingly used to address conservation questions, so their predic...
Predicting and explaining species occurrence using environmental characteristics is essential for na...
GLM-based relations between the 18 individual predictor variables and tree species richness.</p
<p>Two most influential predictor variables for GLO and FIA species distribution models by species a...
In past decades, a variety of statistical techniques have been used and developed to predict species...
<p>Top ten variables shown in descending order of rank. Variable categories were denoted by W (wetla...
A comparison of several statistical techniques common in species distribution modeling was developed...
1. Species distribution models are increasingly used to address conservation questions, so their pre...
Ecological theory and current evidence support the validity of various species response curves accor...
Data characteristics and species traits are expected to influence the accuracy with which species' d...
1. Species distribution models are increasingly used to address conservation questions, so their pre...
Ecological theory and current evidence support the validity of various species response curves accor...
Data characteristics and species traits are expected to influence the accuracy with which species' d...
Predicting species' potential geographical range by species distribution models (SDMs) is central to...
Data characteristics and species traits are expected to influence the accuracy with which species' d...
Species distribution models are increasingly used to address conservation questions, so their predic...
Predicting and explaining species occurrence using environmental characteristics is essential for na...
GLM-based relations between the 18 individual predictor variables and tree species richness.</p