Browsing by Author "Evcin O."
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Scopus Evaluating the frequency, dominance, resemblance analysis and diversity index of bird species in Ilgaz Mountain National Park(2017-01-01) Kucuk O.; Evcin O.; Aslan F.In this study, bird species inhabiting within Il-gaz Mountain National Park (IMNP) were identified. At 3 different habitat features, the frequency, similarity and dominance analyses of bird species were carried out, and their diversity indexes were determined. We identified 10 Order, 27 families and 54 bird species. According to each family, 35 Passer-iformes, 2 Ciconiiformes, 4 Falconiformes, 1 Galli-formes, 3 Columbiformes, 1 Cuculiformes, 1 Caprimulgiformes, 2 Strigiformes, 2 Coraciiformes and 1 Piciformes were observed. Through this study, 18 new bird species was recorded into avifauna of IMNP. When the most dominant order was Passer-iformes, the least dominant orders were Galliformes, Cuculiformes and Piciformes in IMNP. Sparrow (Passer domesticus) was the most observed bird in the first observation station, while they were White wagtail (Motacilla alba) and Chaffinch (Fringilla coelebs) in the second and third observation stations, respectively. The results will enlighten future studies regarding the fauna of the region, biodiversity, protection of bird species populations and future management plans.Scopus Habitat suitability model with maximum entropy approach for European roe deer (Capreolus capreolus) in the Black Sea Region(2019-11-01) Evcin O.; Kucuk O.; Akturk E.Evaluating the relationships between wildlife species and their habitats helps to predict effects of habitat change for present and future management of wild animal populations. Building ecological models are good ways to understand and manage wildlife populations and to predict various environmental scenarios. Recently, management of ungulates is becoming more important in Europe due to a high demand of hunting and their role in biodiversity. European roe deer (Capreolus capreolus) is the smallest species of cervids and has a widespread distribution in Turkey. In this study, two habitat suitability models of roe deers, living in the Black Sea Region in Turkey, were created by using a maximum entropy (MaxEnt) approach. Two wildlife development areas, which have widely different habitat types, were selected as study sites. As a result of this study, area under the curve (AUC) values were found to be above 0.80. According to the modeling results, in two different habitat types, ecological variables are quite similar in general. This study is the first study on modeling European roe deers in Turkey.