animal biosystematic
Masoud Yousefi; Bagher Nezami; Mohamad Ali Adibi; Abdoulsaleh Geray; Farhad Ataei
Abstract
Reptiles are important components of natural ecosystems but because of limited dispersal ability they are sensitive to habitat destruction, road development and climate change. However, very little is known about their diversity and distribution in protected areas of Iran. In this study, reptiles of ...
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Reptiles are important components of natural ecosystems but because of limited dispersal ability they are sensitive to habitat destruction, road development and climate change. However, very little is known about their diversity and distribution in protected areas of Iran. In this study, reptiles of Touran Biosphere Reserve were collected, photographed and identified from 2014 to 2021. Results showed that 36 reptile species including 20 lizards, 15 snakes and 1 tortoise are living in the Touran Biosphere Reserve. Families Agamidae and Gekkonidae where the most diverse families among the lizard species and family Colubridae was the most diverse family among the snake species. Testudo horsfieldii and Varanus griseus are species with conservation concern thus they need special conservation programs.
Bagher Nezami; Farhad Ataei; Anooshe Kafash; Afshin Alizadeh Shaabani; Rahman Eshaghi; Rahman Naeimaei
Volume 6, Issue 3 , March 2018, , Pages 127-141
Abstract
The main goals of this research are predicting the suitable habitat distribution, identifying habitat selection of brown bear and the main effective factors in Central Alborz Protected Area on spring and summer when they have yearling cubs. Identifying core areas, as source populations, have a key role ...
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The main goals of this research are predicting the suitable habitat distribution, identifying habitat selection of brown bear and the main effective factors in Central Alborz Protected Area on spring and summer when they have yearling cubs. Identifying core areas, as source populations, have a key role to conserve of the species. The results are showed as a predicted map of suitable habitat patches distribution and priority of influence factors, according to the species fundamental niche. The required data are a set of species occurrence coordinates (presence points) according to the field observations and study areas’ environmental parameters layers. In this study we used Maximum Entropy Model for habitat modeling in central Alborz protected area. The presence data were gather from field surveys. The AUC values is 0.89 indicating good performance of the model. Jackknife graph showed that annual precipitation is the most effective parameter and vegetation is the most individual parameter. The predicted habitat of species showed a seasonal pattern of distribution. This results can be used to manage and conserve species in suitable habitats according to the species response to the environmental factors
