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چکیده
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MaxEnt software is currently one of the most popular tools which used to predict of species distribution and environmental niche modeling. In the absence of a complete inventory of species spatial distributions, predictive models of species distributions are alternatives that increasingly being used to produce detailed distribution and habitat suitability maps. These models examine associations between general environmental factors and known habitat ranges of particular species. Ecological Niche Modeling (ENM) through MaxEnt could facilitate ecological inferences in soil dwelling taxa. Species distribution models are not only useful to identify the environmental factors that explain the occurrence, but also explain the abundance of species due to their different habitat preferences. To predict the current distribution of Dendrobaena byblica, as a epigeic species, the model was constructed based on five bioclimatic variables (Annual Mean Temperature, Monthly Mean Temperature, Mean Temperature of the Coldest Quarter, Precipitation of the Wettest Month, and Precipitation of the Driest Month) which obtained from Worldclim. The current species distribution showed a non-random prediction of species distribution. Its value was 0.89 ± 0.01 for training data. Jack-knife analysis revealed that the Annual Mean Temperature and Mean Temperature of the Coldest Quarter are the most useful variables to predict species occurrence. The distribution of the species in the future is affected by Annual Mean Temperature (39.1%) and Precipitation of the Wettest Month (20%).
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