Predição da distribuição de omalonyx (Mollusca: pulmonata: succineidae) a partir da revisão da literatura, dados de museu e novo esforço amostral no Brasil

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Abstract

Accurate distributional information is crucial for studies on systematics, biodiversity and conservation. To improve the knowledge regarding the geographical distribution of Omalonyx in South America, we present updated information based on data from a literature review, institutional collections and malacological surveys. All this information composed the dataset used to predict species distribution employing the Maximum Entropy Algorithm (MaxEnt). The model was run using data on species distribution, altitude and bioclimatic variables (WorldClim database). The model had consistent performance, and areas presenting similar conditions to areas where the species were recorded were considered areas of occurrence. The predicted occurrence areas included those that were already surveyed and those that are considered potential occurrence areas. The results demonstrate that the genus has widespread distribution in the Neotropical region and occurs in the tropical, temperate and arid regions of South America and Lesser Antilles. Omalonyx spp. were recorded in all South American countries and hydrographic regions. However, in some countries, there were only isolated records (ex: Colombia and Ecuador). Here, we also present the first record of Omalonyx spp. in four Brazilian States (Acre, Rondônia, Piaui, and Amapá). The genus was found in all hydrographic regions within Brazil and among 27 federative unities; it was absent from only two unities (Roraima State and Distrito Federal). This work contributes to the knowledge on Omalonyx spp. distribution and provides an important basis for the work of ecologists and taxonomists.

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Coscarelli, D., Montresor, L. C., Russo, P., De Melo, A. L., & Vidigal, T. H. D. A. (2018). Predição da distribuição de omalonyx (Mollusca: pulmonata: succineidae) a partir da revisão da literatura, dados de museu e novo esforço amostral no Brasil. Biota Neotropica, 18(1). https://doi.org/10.1590/1676-0611-BN-2017-0409

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