Temporal changes in the potential geographic distribution of Histiotus velatus (Chiroptera, Vespertilionidae), the "decade effect".

Da Silva, Liriann Chrisley; Almeida, Rafaela Gonçalves; Silva, Pablo Henrique da; Oprea, Monik; Mendes, Poliana; Brito, Daniel; Bernardi Vieira, Thiago

We investigated how the potential distribution of Histiotus velatus is affected by the addition of new records over decades (decade effect). Assuming that (1: hypothesis of the effect of the decade) the addition of new occurrence records over time increases the potential size of the species distribution; and (2: Wallacean distance hypothesis) over the years, the new points added are increasingly distant from the research centers. Considering the geographic knowledge gap of this species, our objective is to report a new record of this species and estimate its potential distribution in South America through environment niche models (ENMs). For this, we compiled records of occurrence of species, selected from 1900 to 2015. We used 19 bioclimatic variables available in the WorldClim database to estimate the potential distribution of the species, and we used three modeling algorithms: Maximum Entropy (MXT), Random Forest (RDF), and Support Vector Machine. To test the Wallacean distance hypothesis, we calculated the Euclidian distance from occurrences to bat research centers in Brazil, located using a national researchers' information dataset ("Plataforma Lattes"). To test the hypothesis of the decade effect, we used the beta regression analysis, taking conservative and non‐conservative approaches. The results showed that the predicted area expanded and retracted with the addition of new occurrences over the decades, with an improvement in the accuracy of models. Most records are located in the southeastern region of Brazil, but algorithms predicted areas in regions where there are no records. Only the conservative approach has had a positive relationship over the decades. The distance from new points does not increase over the years of research centers.

BRAZIL; SOUTH America; NUMBERS of species; VESPERTILIONIDAE; SPECIES distribution; BATS; SUPPORT vector machines; RANDOM forest algorithms

Ecology & Evolution (20457758), 2021, Vol 11, Issue 23, p16972

2045-7758

Academic Journal

10.1002/ece3.8333