Volume 8, Issue 4 (1-2020)                   2020, 8(4): 35-51 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ashrafzadeh M R, Naghipour A A, Khoshnamvand H, Haidarian M, Esmaeili S. Distribution Modeling of Foraging Habitats for Egyptian Vulture (Neophron percnopterus) in Kermanshah Province, Iran. Iranian Journal of Applied Ecology 2020; 8 (4) :35-51
URL: http://ijae.iut.ac.ir/article-1-991-en.html
Shahrekord University
Abstract:   (5709 Views)
The Egyptian vulture, Neophron percnopterus, as a globally endangered species, is significantly affected by conflicts with human, leading to the decline of this species population. Availability of food resources is known as one of the most important factors affecting the distribution of the Egyptian vulture. In this study, we employed an ensemble modelling approach to predict the  suitability of the  foraging habitat for the Egyptian vulture based on seven distribution modelling algorithms. According to our results, suitable foraging habitats for this bird accounted for about 4.19% (1021.40 km2) of the study area, of which only approximately 31.92% (326 km2) was covered by the conservation areas. Livestock density (31.82%), the presence of wild ungulates (15.36%), distance to dump sites (14.77%), landcover (12.46%) and elevation (11.85%) made the highest contribution to the ensemble model of this species. Our results indicated that Egyptian vultures mainly rely on dump sites, nomadic areas and livestock farming sites, thereby reflecting the vulture's tendency to livestock carcasses. Thus, it is important to develop effective strategies for proper monitoring and managing human activities in these areas.
Full-Text [PDF 1303 kb]   (1733 Downloads)    
Type of Study: Research | Subject: General

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Applied Ecology

Designed & Developed by : Yektaweb