Modeling the distribution of (Gazella subgutturosa) in Bamoo National Park with maximum entropy methods: (MAXENT)

Document Type : Ecology

Authors

1 Department of the Environment, Faculty of Agriculture and Natural Resources, Islamic Azad University of Isfahan (Khorasgan), POBox: 81595-158

2 Young Researchers Club elites, Islamic Azad University, Khorasgan (Isfahan), POBox: 81595-158

3 Department of the Environment, College of Agriculture and Natural Resources, Islamic Azad University of Isfahan (Khorasgan), POBox: 81595-158

Abstract

Predictive distribution models appropriate response in relation to ecology, biogeography and conservation of species.In this study biogeographic factors affecting the potential distribution of the species was assessed using the maximum entropy in the Bamoo National Park. For this purpose, 15 biogeographic uncorrelated variables were analyzed with spatial resolution of 100 meters. Determine the most influential variables were analyzed using the curve Jackknife. Evaluation of the survey show a good performance MaxEnt model in deer distribution (AUC = 0.992).Logistic map to predict the potential distribution of habitat types that are more favorable habitat for this species in the Tange-chah mahaki, Mehrab Haji and the well is deep-fried and wind pumps.Jack Knife assessment results and calculated the relative contribution of the variables showed that the distance from the source, the type of vegetation, away from the presence of geological leopard and deer are the most important variables affecting distribution.

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