Finally, SDMs built for Lithobates catesbeianus showed a restricted distributional pattern of suitable habitats when compared to other studies [, , , ]. Aside from using distinct analytical tools, data sources, and the choice of climatic variables used, our study agrees in terms of prediction to the current SDMs and the occurrence records of L. catesbeianus [see ]. Nevertheless, Both and colleagues [] reported some individuals outside their optimum climatic conditions, as indicated by our models for current time. These individuals could be in the process of invading new sites, either by range expansions or due to recent translocations, not necessarily corresponding to established populations. To investigate this case, local monitoring or molecular analyses are necessary. Furthermore, our models for the current bullfrog distribution corroborate most of the expected future distribution for this invasive species in Brazil []. Our models mostly match those provided by Ficetola et al. [] and partially match the models provided by Nori et al. []. However, we cannot discard the possibility that our models were influenced by the high number of occurrence records available for bullfrogs in North America, and also by the threshold method we used (e.g., []), which seems to be slightly high. To investigate this potential bias, further studies focused on multiple models based on forecast techniques (e.g., []) would be fruitful. Nonetheless, all cited studies (including ours) investigating potential bullfrog distribution show high statistical confidence and indicate matching patterns. In our current study, only habitats highly favorable for bullfrog occurrence in terms of suitable climates were projected into binary maps, ignoring low suitable habitats that could be used as routes for population establishments or migrations. Additionally, when dealing with highly vagile species such as L. catesbeianus, models might not be able to properly interpret potential sink habitats in a realistic fashion [, ]. Moreover, as previously discussed, SDM assumes only environmental variables, excluding biotic interactions []. Nonetheless, our SDMs suggest suitable habitats mainly in restricted areas of the southern Atlantic forest and the Pampas under current climates, and future favorable habitats in areas of the Cerrado and Caatinga (). Although these results do not sound overly pessimistic, we suggest caution while using predicted bullfrog distributions., 74-year-old museum specimen, which once lived at ZSL London Zoo, was identified as a new species of giant salamander and probably the world's biggest amphibian. Using DNA from museum specimens collected in the early 20th century, researchers from ZSL (Zoological Society of London) and London's Natu, Introduced species have the potential to become invasive and jeopardize entire ecosystems. The success of species establishing viable populations outside their original extent depends primarily on favorable climatic conditions in the invasive ranges. Species distribution modeling (SDM) can thus be used to estimate potential habitat suitability for populations of invasive species. Here we .