Abstract
Climate envelope modeling is an approach that identifies association between species distribution and climate, an association that often is strong at broader spatial scales. Beale et al. (1) discuss limitations of climate envelope modeling and propose use of null models to test relationships between species distributions and climate. Their null models maintain the prevalence of observations and spatial structure of species data while altering the geographic location of the distribution. Other qualities of geographic distributions and variability demonstrate a need for improved understanding and management of geographic concepts in climate envelope modeling.
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