naa a22 4500 510737528 CHVBK 20180411083016.0 cr unu---uuuuu 180411e20130501xx s 000 0 eng 10.1007/s11284-013-1040-2 doi (NATIONALLICENCE)springer-10.1007/s11284-013-1040-2 A predictive spatial model for gray wolf ( Canis lupus ) denning sites in a human-dominated landscape in western Iran [Elektronische Daten] [Mohsen Ahmadi, Mohammad Kaboli, Elham Nourani, Afshin Alizadeh Shabani, Sohrab Ashrafi] Predictive models of species denning habitat are useful for understanding distribution of core use areas and identifying areas with potential conflicts. Wolf den site selection in unmanaged areas with dominance of agriculture-lands and human disturbance is not completely understood. We used a GIS multivariate model based on the Mahalanobis distance statistic and 11 digital habitat layers to evaluate gray wolf denning site suitability in Hamedan province (HP), western Iran. Results showed that >74% of dens occurred in potential denning sites that occupied 14% (2,785km2) of the study area. Based on sensitivity analysis with ROC, we found that the distance to rangelands, elevation, and distance to roads, human settlements and streams were the most predictive variables. Our potential distribution model of wolf den sites showed a very good overall performance according to classification accuracy and discrimination capacity. Denning in elevated rugged terrains adjacent to rangelands and away from roads and villages revealed that wolf den distribution in HP is highly influenced primarily by factors associated with human disturbance. The derived predicted distribution map can be used to prioritize areas for conservation, identify areas with potential conflicts, and to implement adaptive management in regions beyond wilderness and protected areas. The Ecological Society of Japan, 2013 Gray wolf nationallicence Den site selection nationallicence Mahalanobis distance model nationallicence Hamedan province nationallicence Iran nationallicence Ahmadi Mohsen Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut Kaboli Mohammad Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut Nourani Elham Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut Alizadeh Shabani Afshin Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut Ashrafi Sohrab Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut Ecological Research Springer Japan 28/3(2013-05-01), 513-521 0912-3814 28:3<513 2013 28 11284 https://doi.org/10.1007/s11284-013-1040-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11284-013-1040-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ahmadi Mohsen Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut NATIONALLICENCE 700 1- Kaboli Mohammad Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut NATIONALLICENCE 700 1- Nourani Elham Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut NATIONALLICENCE 700 1- Alizadeh Shabani Afshin Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut NATIONALLICENCE 700 1- Ashrafi Sohrab Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran aut NATIONALLICENCE 773 0- Ecological Research Springer Japan 28/3(2013-05-01), 513-521 0912-3814 28:3<513 2013 28 11284 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer