DEVLET ORMAN İŞLETMELERİNDE LİF-YONGA ODUNU ÜRETİMİNİ ETKİLEYEN FAKTÖRLERİN BELİRLENMESİ ÜZERİNE BİR ARAŞTIRMA: BARTIN-GÜNYE DEVLET ORMAN İŞLETMESİ ÖRNEĞİ

Year 2014, Volume: 9 Issue: 1, 1 - 14, 01.02.2014

Atilla Atik Bülent Yılmaz Fürüzan Aslan

Abstract

Bu çalışmada Bartın-Günye Devlet Orman İşletmesi örneğinde, saf doğu kayını ormanlarında lif-yonga odunu üretimini etkileyen faktörler incelenmiştir. Bu amaçla ilgili şefliğin 2007-2010 yılları arasındaki üretim programında bulunan ve toplam 1277 ha alanı kaplayan 41 adet üretim birimi çalışma alanı olarak seçilmiştir. Üretim birimlerinde lif-yonga odunu üretim verimini etkilediği düşünülen, üretim biriminin doğal yapısı ve meşcere kuruluş yapısı durumu ile bunların birbirleriyle ilişkilerini ölçen 22 adet değişken geliştirilmiştir. Temel bileşenler ve faktör analizleri şeklinde uygulanan çok boyutlu istatistiksel analizler sonucunda verimi etkileyen en önemli faktörlerin; Stand site quality degree, Aspect, Slope, Annual volume increment, Actual basal area, Elevation, Average ground skidding distance olduğu saptanmıştır.

Keywords

Lif Yonga Odunu, Verim Yüzdesi, Faktör Analizi, Diskriminant Analizi, Bartın,

A STUDY ON THE DETERMINATION OF FACTORS EFFECTIVE ON FIBRE CHIP WOOD IN STATE FOREST MANAGEMENTS; THE SAMPLE OF BARTIN - GUNYE FOREST MANAGEMENT

Abstract

ABSTRACT In the present study, factors affecting fibre chip wood production are evaluated in the pure oriental beech (Fagus orientalis) forest in the sample of Bartın-Günye state forest Management. With this aim, 41 production units, included in the production program of the management between 2007 and 2010 and covering an area of 1277 ha, were chosen to be the study area. In the scope of the study, totally 22 variables were derived which were thought to be effective on the fibre chip wood production in the production units and related to the natural structure of production unit and formation of stand and their interactions. It was found from the multidimensional statistical analyses including principal component analysis and factor analysis that the most important factors effective on the production yield are stand site quality degree, aspect, slope, annual volume increment, actual basal area, elevation, average ground skidding distance

Keywords

Fibre Chip Wood, Production Rate, Factor Analysis, Discriminant Analysis, Bartın City,

References

• Lyke, J. and Brooks, D.J., (1995). World supply and demand for forest products. Journal of Forestry; 93(10), ss:22-26.
• Brooks, D.J., (1997). Demand for wood and forest products: Macroeconomic and management issues. ΧI. World Forestry Congress, Antalya; 4, ss:66-75.
• Pearce, P.H., (1990). Introduction of forestry economics. University of British Colombia Press; Vancouver, 398 s.
• Anon., (2001). Report of forestry special expertise commission in the preparation of 8th five – year development plan. 539 s.
• Örs, Y. and Keskin, H., (2000). Wood material knowledge. Gazi University. 2000:352. 183s.
• Food and Agriculture Organization of the United Nations, (2011). http://faostat.fao.org (access date: 14.01.2013).
• Anon., (2007). Report of forestry special expertise commission in the preparation of ninth five – year development plan. 102 p.
• General Directorate of Forestry, (2012a). Strategic plan. General Directorate of Forestry Press; Ankara, 82s.
• General Directorate of Forestry, (2013). Republic of Turkey Ministry of Forestry and Water Affairs General Directorate of Forestry. Forestry of Turkish, Ankara. http://www.ogm. gov.tr. (access date: 14.01.2013).
• Kalaycıoğlu, H., (2001). Neden OSB. Laminart Mobilya, Dekorasyon, Sanat ve Tasarım; 12, ss:136-138.
• Dayanıklıoğlu, S., (2004). Türkiye’de lif levha ve yonga levha sektörünün durumu, Avrupa birliği ülkeleriyle karşılaştırılması, problemleri ve çözüm yolları. İstanbul Üniversitesi Fen Bilimleri Enstitüsü, Yüksek Lisan Tezi; 146 s.
• Acar, H. and Ünver, S., (2004). Determination of the harmful effects of wooden raw materials regarding technical and environmental aspects and recommendations for the solution. Journal of the Bartın Faculty of Forestry; 6(6), ss:165-173.
• General Directorate of Forestry, (2001). Günye Management Plan (2001-2010); 400 s.
• General Directorate of Forestry, (2011). Günye Management Plan (2011-2020); 359 s.
• MGM, (2013). Meteoroloji Genel Müdürlüğü verileri.
• Atik, A., (2013a). Effect of different concentrations of effective microorganisms (Baikal EM1) on the root collar diameter and height growth in the seedlings of Anatolian black pine [Pinus nigra Arnold. subsp. pallasiana Lamb. (Holmboe)]. International Journal of Food, Agriculture & Environment; 11(2), ss:1300-1304.
• Atik, A., (2013b). Effects of planting density and treatment with vermicompost on the morphological characteristics of oriental beech (Fagus orientalis Lipsky.). Compost Science & Utilization; 21(2), ss:87-98. doi:10.1080/1065657X.2013.836066.
• Harman, H.H., (1967). Modern factor analysis. 2nd ed. University of Chicago Press, Chicago, Illinois, 474 s.
• Yılmaz, B., Daşdemir, İ., Atmış, E., and Lise, W., (2010). Factors affecting rural development in Turkey: Bartın case study. Forest Policy and Economics; 12(4), ss: 239-249. doi:10. 1016/j.forpol.2010.02.003.
• Hair, J.F., Anderson R.E., Tatham R.L., and Black, W.C., (1992). Multivariate data analysis with readings, 3rd edn. Macmillan, New York.
• Atik, A., (2013c). Zonguldak-Gökçebey Orman Fidanlığında üretilen 2+0 yaşlı doğu kayını (Fagus orientalis Lipsky.) fidanlarının kalite sınıflarının oluşturulması ve TSE Normlarına göre değerlendirilmesi. NWSA-Ecological Life Sciences, 8(2),1- 12. doi.URL:10.12739/NWSA.2013.8.2.5A0073.