Abstract
Given human-related changes, quality distributional data are required for consistent conservation. Still, the lack of proper biogeographic information is a major setback for many groups. Here, we use new occurrences for Aglae caerulea in the Cerrado to model its potential distribution. We used Maximum Entropy (MaxEnt) and Genetic Algorithm for Rule-Set Production (GARP) algorithms in different modeling runs and both previous and new A. caerulea occurrences to predict this species distribution. Models which used only the previous A. caerulea’s records did not predicted the new Cerrado records, while those where we used the latter did predict the new ones as minimally suitable. A. caerulea distribution significantly increased towards the Cerrado according to both MaxEnt and GARP algorithms. Gallery forests are important dispersal alternatives for several species dwelling the Amazon and the Atlantic forest. Niche models of other rare Euglossini bees are advised to better evaluate their distributions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have