Determination of potential hazelnut plantation areas based GIS model case study: Samsun city of central Black Sea region

Year 2013, Volume: 2 Issue: 1, 12 - 18, 01.03.2013

Fatma Esra Sarıoğlu Fikret Saygın Gülden Balcı Orhan Dengiz , Hüsnü Demirsoy

Abstract

Turkey is one of the few countries in the world with a favourable climate for hazelnut production. In addition, it has the leading position in world hazelnut production and export, supplying about 70% of world’s production. However, hazelnut production exceeds the demand and new some regulations have been enacted to create new land use policies in Turkey. By putting into practice regulations restricting hazelnut plantation areas, a more efficient and productive hazelnut harvest policy could be created. Samsun city is one of the most important hazelnut production centres in Central Black Sea region. The main objective of this study is to determine potential hazelnut areas in Samsun city located Central Black Sea Region according to current regulations using geographic information system technique regarding to support hazelnut policy developers and organizations. According to the criteria dictated by government regulations, potential hazelnut area in Samsun province was determined and 86973 ha of the total area is suitable hazelnut area which is about 9.3% of whole province.

Keywords

Hazelnut, Land Capability Classification, GIS Modelling

References

• Anonymous, 2005. Department of statistic directorate, Turkish State Meteorological Service, Ankara.
• Bolca, M., Kurucu, Y., Dengiz, O., Nahry, A.D.H. 2011. Terrain characterization for soils survey of Kucuk Menderes plain, South of Izmir, Turkey, using remote sensing and GIS techniques. Zemdirbyste-Agriculture. 98 (1), 93-104.
• Dengiz, O., 2008. Assessment of Nitrate Leaching Risk in Hazelnut Areas of the Eastern Black Sea Region. Asian Journal of Chemistry. 20 (6), 4866-4874.
• Dengiz, O., Ozcan, H., Köksal, E.S., Kosker, Y., 2010. Sustainable Natural Resource Management and Environmental Assessment in The Salt Lake (Tuz Golu) Specially Protected Area. Journal of Environmental Monitoring and Assessment. 161, 327-342.
• Güler, M., Yomralıoğlu, T., Reis, S., 2007. Using landsat data to determine land use/land cover changes in Samsun, Turkey. Journal of Environmental Monitoring and Assessment. 127, 155–167.
• Klingebiel, A.A., Montgomery, P.H., 1961. Land Capability Classification. US Department of Agriculture Handbook 210, Government Printer, Washington DC, US.
• Kılıc, O., Ceyhan, V., Cinemre, H.A., 2008. Estimation of Normative Supply Function and Price Elasticity of Hazelnut: A Case Study in Turkey. Horticultural Science 43(3), 753–758.
• Kılıc, O., Ceyhan, V., Alkan, I., 2009. Determinants of economic efficiency: A case study of hazelnut (Corylus avellana) farms in Samsun Province, Turkey. New Zealand Journal of Crop and Horticultural Science 37, 263–270.
• Longley, P.A., Goodchild, M.F., Maguire, D.J., Rhind, D.W. 2001. Geographic information systems and science, Bath Press, London.
• Lioubimtseva, E., Defourny, P., 1999. GIS based landscape classification and mapping of European Russia. Landscape Urban Planning 44 (2-3), 63-75.
• Marti, J.T., 2001. World hazelnut production, Available online at: (accessed 11 March 2003)
• Reis, S., Yomralıoglu, T., 2006. Detection of current and potential hazelnut plantation areas in Trabzon, North East Turkey using GIS and RS. Journal of Environmental Biology, 27(4) 653-659.
• TURKSTAT, 2011. Turkish Statistical Institute. Available online. (Accessed 12 May 2001).
• Turkish Official Journal, 2002. Fındık üretiminin planlanması ve dikim alanlarının belirlenmesi ile fındık yerine alternatif ürün yetiştirmeyi tercih eden üreticilerin desteklenmesine dair esas ve usuller hakkında yönetmelik, no: 24637
• Yomralıoğlu, T., 2002. Coğrafi bilgi sistemleri temel kavramlar ve uygulamalar, İkinci baskı, Seçil Ofset, İstanbul.