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Analiza habitata velike uharice (Bubo bubo) na izbranih območjih in ugotavljanje novih potencialnih gnezdišč
ID Hočevar, Gal (Author), ID Repe, Blaž (Mentor) More about this mentor... This link opens in a new window, ID Vrezec, Al (Co-mentor)

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Abstract
V magistrskem delu smo s pomočjo geografskih informacijskih sistemov iskali nova potencialna gnezdišča velike uharice (Bubo bubo) na območju občin Kočevje in Ribnica. Primernost območij za potencialno gnezdišče smo napovedali na podlagi devetih kriterijev: naklon, nadmorska višina, ekspozicija pobočja, oddaljenost od lovnih površin, asfaltiranih cest, makadamskih cest in stavb, mozaičnost habitata in delež gozda. Parametre vseh dejavnikov smo določili z analizo že znanih območij in lokacij gnezd velike uharice v Sloveniji. Modeliranje smo izvedli z uporabo postopka večkriterijskega vrednotenja (angl. Multi-Criteria Evaluation), znotraj katerega smo uporabili metodo obtežene linearne kombinacije (angl. Weighted Linear Combination). Rezultate iskanja potencialnih gnezdišč smo prikazali s karto območij primernosti, pri čemer smo najprimernejša območja ovrednotili s terenskim preverjanjem stanja v naravi. Model primernosti nam poda šest območij največje primernosti, pri čemer smo na treh območjih potrdili do sedaj še neregistrirano prisotnost velike uharice, na enem pa zgolj domnevamo njeno prisotnost.

Language:Slovenian
Keywords:velika uharica, Bubo bubo, GIS, obtežena linearna kombinacija
Work type:Master's thesis/paper
Organization:FF - Faculty of Arts
Year:2021
PID:20.500.12556/RUL-131511 This link opens in a new window
Publication date in RUL:29.09.2021
Views:722
Downloads:211
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Secondary language

Language:English
Title:Habitat analysis of the Eurasian eagle-owl (Bubo bubo) for tracking new potential nest-sites in selected areas
Abstract:
In a master's thesis, we used geographic information systems to find new potential nesting sites of the Eurasian eagle-owl (Bubo bubo) in the Kočevje and Ribnica municipalities study area. The suitability for potential nesting sites was predicted based on nine selected criteria: slope, elevation, aspect, distance to hunting grounds, paved roads, unpaved roads and buildings, habitat fragmentation and extent of forest area. Parameters of all factors were determined by analysing registered nesting sites and its surroundings in Slovenia. Modelling was conducted using the procedure of Multi-Criteria Evaluation, in which we used Weighted Linear Combination method. The results of new potential nesting sites were introduced as a reclassified map of area suitability, where the most suitable areas were being examined on the field. Suitability model gave us six most suitable areas. At three of those yet unregistered Eurasian eagle-owl presence was confirmed and at another area we presume its presence.

Keywords:The Eurasian eagle-owl, Bubo bubo, GIS, Weighted Linear Combination

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