Using Gaussian Bayesian Networks to disentangle direct and indirect associations between landscape physiography, environmental variables and species distribution

The models demonstrated strong indirect associations between landscape physiography and species distributions. The models suggested that local variation in light can be as important as temperature for species distributions. Disentangling the direct and indirect associations between landscape physiography, environmental variables and species distribution can provide new and important insights into how landscape components are linked to species distributions.