KAZDAĞI MİLLİ PARKI’NDA ARAZİ ÖRTÜSÜ ORGANİZASYONUNU KONTROL EDEN JEOMORFOMETRİK FAKTÖRLER: BİR CBS YAKLAŞIMI (Geomorphometric Factors Controlling Landcover Organization in Kazdağ National Park: A GIS Approach)

Turkish Abstract: Bu calismanin amaci, Kazdagi Milli Parki’nda peyzajda arazi ortusu organizasyonu uzerine abiyotik cevresel faktorlerden jeomorfometrik faktorlerin rolunu belirlemektir. Calismanin hipotezi, “jeomorfometrik parametreler, peyzajda topluluklarin dagilisinda onemli rol oynamaktadir”. Calismanin metodolojik onemi ise “Cografi Bilgi Sistemleri (CBS) nin bitki habitatlarinin fiziki ozelliklerini belirlemedeki onemini vurgulamaktir”. Yukselti, egim, baki, topografik nemlilik indeksi, egrilik derecesi, sicaklik ve yagis faktorleri arazi ortusu ile iliskili cevresel faktorler olarak kullanilmistir. Cevresel degiskenlerin haritalanmasinda ve analizinde CBS teknikleri kullanilmistir. Arazi ortusu ve yer sekillerinin karakteristikleri arasindaki korelasyon analizi zonal istatistik kullanilarak yapilmistir. Bu nedenle jeomorfometrik faktorler nominal veri sekline donusturulmus ve ham degerler yerine siniflar analize tabi tutulmustur. Analizler, peyzajda arazi ortusunun yayilimi ve relief ile iliskili cevresel faktorler arasinda iliskinin varligini gostermektedir. English Abstract: The objectives of the study are to determine the role of geomorphometric factors as abiotic environmental factors in the organization of landcover across the landscape in Kazdag National Park. The hypothesis is that geomorphometric factors play an important role in community distribution in the landscape. Methodological importance of this study is that Geographical Information Systems (GIS) play an important role to identify physical features of habitats. Elevation, slope, aspect, topographical humanity index, curvature, temperature, and precipitation factors were used to link landcover to environmental variables. GIS techniques were used to create maps for environmental variables and to analyze them. The analysis of correlation between landcover types and landform characteristics was performed using Zonal Statistics. Thus the geomorphometric factors had to be transferred into nominal data; therefore classes were used instead of raw values. Analyses show relationship between landcover, also vegetation distribution, and environmental factors due to the relief.