Determination of the optimum observation points for brown bear (ursus arctos) inventory using GIS in Savsat, Turkey

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dc.authorid0000-0002-1481-2849en_US
dc.authorid0000-0001-5552-5670en_US
dc.contributor.authorÖzyanık, Mevlüt
dc.contributor.authorYavuz, Mehmet
dc.contributor.authorVatandaşlar, Can
dc.contributor.authorKeleş, Gökçe Ali
dc.date.accessioned2021-04-08T11:32:49Z
dc.date.available2021-04-08T11:32:49Z
dc.date.issued2017
dc.departmentAÇÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description.abstractForest inventory programs involve not only inventorying the tree species' traits but also inventorying the number of wildlife species and their habitats. Brown bear is one of the threatened wildlife species and its habitat must be protected during the natural resources planning processes. Thus, knowing absolute abundance and spatial distribution of the brown bear in a given area helps the managers to plan bear population dynamics and allocate suitable habitats to them within their planning units. The aim of this study was to develop a cost effective, yet well-designed direct inventory methodology to count the brown bear population in the Meydancik Forest Enterprise in Artvin, Turkey. In order to achieve the study goal, the visibility, proximity, and many other spatial analyses tools were utilized within ArcGIS software using a series of geological and environmental variables such as elevation, hill tops, slope, aspect, land use types, stand types, and distances to the roads and rivers. The analysis results showed that 29.8% of the study area was visible from 15 dominant observation points within a sight distance of 2 km while other existed methodologies were observing only the one-third of the same area with 38 observer points. A total number of 35 bears were counted with camera traps and field crew during the field survey conducted in late May 2016. Population density was estimated to be 35 bears/100 km(2) for the region. Other studies were estimated similar bear densities in the same area with more observation points. It can be concluded that the final map that showing visible areas for brown bear observation can provide a precious background to natural resource managers for stratification of the planning unit and delineating the hotspots for biodiversity conservation within a multiple-use forest planning approach.
dc.identifier.citationYavuz, M., Vatandaşlar, C., Özyanık, M., & Keleş, G. A. (2017). Determination of the optimum observation points for brown bear (ursus arctos) inventory using GIS in Savsat, Turkey.International Journal Of Ecosystems And Ecology Science IJEES, 7(1), 57-62.en_US
dc.identifier.endpage62en_US
dc.identifier.issue1en_US
dc.identifier.startpage57en_US
dc.identifier.urihttps://hdl.handle.net/11494/2970
dc.identifier.volume7en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthorYavuz, Mehmet
dc.institutionauthorVatandaşlar, Can
dc.institutionauthorKeleş, Gökçe Ali
dc.language.isoenen_US
dc.publisherHealth & Environment Assocen_US
dc.relation.ispartofInternational Journal Of Ecosystems And Ecology Science IJEES
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeographical Information Systems (GIS)en_US
dc.subjectBrown Bear Inventoryen_US
dc.subjectVisibility Analysisen_US
dc.titleDetermination of the optimum observation points for brown bear (ursus arctos) inventory using GIS in Savsat, Turkeyen_US
dc.typeArticle

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