Productivity distribution modelling of Anatolian Black Pine (Pinus nigra subsp. pallasiana var. pallasiana) in the Turkmen Mountain, Eskisehir

This study was carried out to obtain regionalization models by examining the relationships between response variables distribution and productivity of Crimean pine forests (Pinus nigra J. F. Arnold subsp. pallasiana (Lamb.) Holmboe var. pallasiana), and explanatory variables (digital environmental variables) in Turkmen mountain. The data were collected for productivity 56 and for distribution from 278 sample plots. To model distribution of Crimean pine, binary data, absence (0) and presence (1), was used as response variable. The other response variable were site index, height value of plus tree at a standard age (100 years old), which was taken as a measure of productivity. To built distribution model of Crimean pine, classification tree technique (CT), in order to obtain productivity were performed regression tree technique (RT). Distribution and productivity models were built by altitude and topographical position index. The results of this study are significant for contributions of developing management plans and realization implementations on Crimean pine forests of Turkmen mountains in the future.Original Abstract: Bu calisma; Eskisehir Turkmen Dagi'nda karacam ormanlarinin yayilisi ve verimliligi ile dijital cevresel degiskenler arasindaki iliskileri inceleyerek, yayginlastirma modellerinin elde edilmesi amaciyla gerceklestirilmistir. Arastirmaya konu olan veriler; verimlilik (bonitet endeksi) icin 56 ornek alandan, dagilim (var-yok verisi) icin 278 ornek alandan elde edilmistir. Karacamin dagilim modelini elde etmek icin bagimli degisken var yok seklinde ikili kategorik verilerden olusmustur. Verimlilik modeli icin bagimli degisken karacamdan alinan standart yastaki (100 yasindaki) bonitet indeksi degerleri kullanilmistir. Karacamin dagilim modeli icin siniflandirma agaci teknigi (SA), verimlilik modeli icin regresyon agaci teknigi (RA) uygulanmistir. Dagilim ile verimlilik modelini yukselti ve topografik pozisyon indeksi degiskenleri olusturmustur. Bu calismanin sonuclari Turkmen Dagi'nda karacam ormanlarinda yapilacak amenajman planlarinin sekillenmesinde ve uygulamaya gecirilmesinde saglayacagi katkilar bakimindan onem tasimaktadir.