Habitat evaluation of the Afghan Pika by using binary logistic regression and HEP (Case study: Lashgardar protected area, Hamedan-Iran)
Document Type : Ecology
Abstract
Today most destruction of environmental is the habitats. Hence, the need for methods that can help them to evaluate the habitat, and the over time obtained quality in this habitat. In this study was performed habitat evaluation of the Afghan Pika with Habitat Evaluation Procedure (HEP) and Binary logistic regression. Then, the results of these two methods were compared. Major factors as a variable habitat for species habitat evaluation were measured included: Average of the dominant slope, the aspect, altitude and land cover. Results of the two methods of modeling suggest that land-cover variable has an important role in the Pika habitat suitability which for this species is in rocky areas with cliffs and slopes over 30 degrees with small spaces between the rocks and also the geographical aspects which this species preferred are from north to south. Results showed that the height depending on other variables can be positive or negative, and usually in this region pikas live at altitudes between 2100 to 2300m. Finally, we obtained a model for Pika Habitat Suitability Index (HIS) and also models to predict the Pika presence.
(2013). Habitat evaluation of the Afghan Pika by using binary logistic regression and HEP (Case study: Lashgardar protected area, Hamedan-Iran). Journal of Animal Environment, 5(3), 1-10.
MLA
. "Habitat evaluation of the Afghan Pika by using binary logistic regression and HEP (Case study: Lashgardar protected area, Hamedan-Iran)". Journal of Animal Environment, 5, 3, 2013, 1-10.
HARVARD
(2013). 'Habitat evaluation of the Afghan Pika by using binary logistic regression and HEP (Case study: Lashgardar protected area, Hamedan-Iran)', Journal of Animal Environment, 5(3), pp. 1-10.
VANCOUVER
Habitat evaluation of the Afghan Pika by using binary logistic regression and HEP (Case study: Lashgardar protected area, Hamedan-Iran). Journal of Animal Environment, 2013; 5(3): 1-10.
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