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        1 - Geographic Distribution and Habitat Suitability Modeling of Great Gerbil (Rhombomys opimus) by Maximum Entropy Model in Golestan Province
        Mohsen Ahmadpour Hossein Varasteh Moradi Hamid Reza Rezaei Mohamad Ali Oshaghi Abasalt Hosseinzadeh Colagar
        Background and Objective: Today, the geographical distribution of a species based on maximum entropy using spatial data from geographical information system, remote sensing data and statistical techniques have a great contribution on conservation management of species. More
        Background and Objective: Today, the geographical distribution of a species based on maximum entropy using spatial data from geographical information system, remote sensing data and statistical techniques have a great contribution on conservation management of species. The aim of this study is evaluate the effects of environmental variable on distribution and habitat suitability of great gerbil (Rhombomys opimus) and predicting its habitat in Golestan province, Iran. Material and Methodology: For this purpose, 272 presence-only data and 13 environment variables as independent variables were selected for this species. Then, geographic distribution and habitat suitability modeling were performed by maximum entropy approach in MaxEnt software, using to these presence data and variables. Findings: Our results showed that, some of the habitat variables including: altitude, NDVI, soil type and climate had the greatest plays for habitat suitability and geographical distribution of R. opimus in this area. While that, aspect had less effects than other variables. Discussion and conclusion: Based on our findings, habitats of R. opimus was continues and about 10.1% of Golestan province pereidicted as a suitable habitat for the great gerbil. Manuscript profile
      • Open Access Article

        2 - Application of Criteria of Landscape Ecology in Habitat Evaluation for Wild Sheep ( Ovis orientalis) in Kavir National Park
        Mojtaba Ghandali Afshin Alizade Mahmood Karami Mohammad Kaboli Hamid Zohrabi
        Aim and scope: The area, shape and configuration of habitat patches are crucial features in landscape ecology studies, and they are also important to habitat evaluation and habitat suitability.Wild sheep is from Bovidae Family found in Kavir national park. The most impo More
        Aim and scope: The area, shape and configuration of habitat patches are crucial features in landscape ecology studies, and they are also important to habitat evaluation and habitat suitability.Wild sheep is from Bovidae Family found in Kavir national park. The most important feature of the habitat of wild sheep is proximity to escape terrain (as cover for avoiding of predators). Understanding habitat requirements in landscape level is essential for successful management and conservation of wild sheep. Materials: We used logistic regression approach to develop habitat suitability model for wild sheep in Kavir national park with Using landscape ecology metrics such as shape, size and proximity of habitat patches and based on field data gathered from autumn 2009 to summer 2010 . Results: Due to the Hosmer-Lemeshow goodness-of-fit test statistic is greater than .05, So the model has adequate fit. Habitat suitability model indicated good discrimination based on the receiver-operation characteristic (ROC) criteria (ROC> 0.97), indicating habitat suitability model can explain distribution of wild sheep reasonably well.  Manuscript profile