|
|
| Coscarelli,Daniel; Montresor,Lângia C.; Russo,Philip; Melo,Alan Lane de; Vidigal,Teofânia H.D.A.. |
| 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... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: MaxEnt; Niche model; Species distribution; Modeling; Succineids; Neotropic. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032018000100209 |
| |
