Summary of the importance of environmental variables in the development of suitability models for Agave dryland-farming (a, b) and Agave species (c, d, e) relative to regularized training gain. Green bars indicate model gain when only including individual environmental variables. Light-grey bars show the gain when the individual environmental variables are excluded from the full model. Dark-grey bars indicate the gain achieved in the full model, including all environmental variables in the model. Abbreviated environmental variables are defined as follows: Bio 2 = mean diurnal range (mean of monthly (maximum temperature—minimum temperature)), Bio 7 = temperature annual range (maximum temperature–minimum temperature), Bio 8 = mean temperature...
In Sahel, scarcity and randomness of water resources are the main explanation of the variability of ...
Altitude: altitude; Clay %: clay percentage; coast_dist: distance to coast; landuse: landuse; light:...
FIG. S6. Values of variables that most contribute in the MaxEnt models for clades A and B of Stenodr...
The variables were selected from the WorldClim 2 database to generate dryland-farming MaxEnt models....
Summary of niche models of individual species for dryland-farming and Agave species with test gains ...
Representation of model selection for the best environmental variables to explain trait variation de...
International audienceIncreasing attention is being paid to environment characterisation as a means ...
Habitat suitability for rock piles, grasslands, and Agave species (A. angustifolia, A. palmeri, and ...
<p>*Bio02 –mean diurnal range; Bio06 –minimal temperature of coldest month; Bio07 –temperature annua...
Specific climatic variables include: Min Temperature of Coldest Month (BIO6), Annual Mean Temperatur...
1. Environmental Variables: Eight environmental variables were initially selected for this study. L...
<p>Dynamic variables included Chlorophyll <i>a</i> concentration (Chloa), sea surface temperature (S...
The mechanisms of plant trait adaptation and acclimation are still poorly understood and, consequent...
Extrapolating simulations of bioenergy crop agro-ecosystems beyond data-rich sites requires biophysi...
Environmental variables used in building GARP models for Aedes aegypti in Ecuador.</p
In Sahel, scarcity and randomness of water resources are the main explanation of the variability of ...
Altitude: altitude; Clay %: clay percentage; coast_dist: distance to coast; landuse: landuse; light:...
FIG. S6. Values of variables that most contribute in the MaxEnt models for clades A and B of Stenodr...
The variables were selected from the WorldClim 2 database to generate dryland-farming MaxEnt models....
Summary of niche models of individual species for dryland-farming and Agave species with test gains ...
Representation of model selection for the best environmental variables to explain trait variation de...
International audienceIncreasing attention is being paid to environment characterisation as a means ...
Habitat suitability for rock piles, grasslands, and Agave species (A. angustifolia, A. palmeri, and ...
<p>*Bio02 –mean diurnal range; Bio06 –minimal temperature of coldest month; Bio07 –temperature annua...
Specific climatic variables include: Min Temperature of Coldest Month (BIO6), Annual Mean Temperatur...
1. Environmental Variables: Eight environmental variables were initially selected for this study. L...
<p>Dynamic variables included Chlorophyll <i>a</i> concentration (Chloa), sea surface temperature (S...
The mechanisms of plant trait adaptation and acclimation are still poorly understood and, consequent...
Extrapolating simulations of bioenergy crop agro-ecosystems beyond data-rich sites requires biophysi...
Environmental variables used in building GARP models for Aedes aegypti in Ecuador.</p
In Sahel, scarcity and randomness of water resources are the main explanation of the variability of ...
Altitude: altitude; Clay %: clay percentage; coast_dist: distance to coast; landuse: landuse; light:...
FIG. S6. Values of variables that most contribute in the MaxEnt models for clades A and B of Stenodr...