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Spatial analysis of climate factors used to determine suitability of greenhouse production in Turkey

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Abstract

This study aimed to identify the most suitable growing periods for greenhouse production in Turkey in order to make valuable contribution to economic viability. Data collected from the meteorological databases of 81 provinces was used to determine periodic climatological requirements of greenhouses in terms of cooling, heating, natural ventilation, and lighting. Spatial distributions of mean daily outside temperatures and greenhouse heating requirements were derived using ordinary co-kriging (OCK) supported by Geographical Information System (GIS). Mean monthly temperatures throughout the country were found to decrease below 12 °C in January, February, March, and December, indicating heating requirements, whereas temperatures in 94.46 % of the country rose above 22 °C in July, indicating cooling requirements. Artificial lighting is not a requirement in Turkey except for November, December, and January. The Mediterranean, Aegean, Marmara, and Black Sea Regions are more advantageous than the Central, East, and Southeast Anatolia Regions in terms of greenhouse production because the Mediterranean and Aegean Regions are more advantageous in terms of heating, and the Black Sea Region is more advantageous in terms of cooling. Results of our study indicated that greenhouse cultivation of winter vegetables is possible in certain areas in the north of the country. Moreover, greenhouses could alternatively be used for drying fruits and vegetables during the summer period which requires uneconomical cooling systems due to high temperatures in the Mediterranean and Southeastern Anatolian Regions.

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References

  • Alsamamra H, Ruiz-Arias JA, Pozo-Va’zquez D, Tovar-Pescador J (2009) A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain. Agr Forest Meteorol 149(8):1343–1357

    Article  Google Scholar 

  • ASHRAE (2005) Fundamentals SI. Environmental control for animals and plants—physiological considerations. ASHRAE, Atlanta, GA

    Google Scholar 

  • Bailey TC, Gatrell AC (1995) Interactive spatial data analysis. Longman Higher Education, Harlow

  • Baudoin W, Grafiadellis M, Jiminez R, La Malfa G, Martinez-Garcia PF, Garnaud JC, Montero AA, Nisen A, Verlodt H, de Villele O, von Zabeltitz C (1991) Protected cultivation in the Mediterranean climate. FAO plant production and protection paper no. 90

  • Baytorun N, Abak K, Üstün S, İkiz Ö (1996) GAP alanında sera tarımı potansiyeli sahil bölgeleri ile karşılaştırılması. GAP 1.Sebze Tarımısempozyumu Şanlıurfa

  • Cemek B (2005) Samsun İl ve ilçelerinde seraların iklimsel ihtiyaçlarının belirlenmesi. OMÜ. Zir Fak 20(3):34–43

    Google Scholar 

  • Chuanyan Z, Zhongren N, Guodong C (2005) Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains. China Ecol Model 189:209–220

    Article  Google Scholar 

  • Coops N, Loughhead A, Ryan P, Hutton R (2001) Development of daily spatial heat unit mapping from monthly climatic surfaces for the Australian continent. Int J Geogr Inf Sci 15:345–361

    Article  Google Scholar 

  • Daly C, Neilson RP, Phillips D (1994) A statistical-topographical model for mapping climatological precipitation over mountainous terrain. J Appl Meteorol 33(2):140–158

    Article  Google Scholar 

  • Diodato N, Ceccarelli M (2005) Interpolation processes using multivariate geostatistics for mapping of climatological precipitation mean in the Sannio mountains (southern Italy). Earth Surf Proc Land 30(3):259–268

    Article  Google Scholar 

  • Gomez KA, Gomez AA (1984) Statistical procedures for agricultural research, 2nd edn. John Wiley and Sons, Singapore

    Google Scholar 

  • Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York

    Google Scholar 

  • Goovaerts P (1999) Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena 34:227–242

    Article  Google Scholar 

  • Goovaerts P (2000) Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. J Hydrol 228:113–129

    Article  Google Scholar 

  • Güler M, Cemek B, Günal H (2007) Assessment of some spatial climatic layers through GIS and statistical analysis techniques in Samsun Turkey. Meteorol Appl 14(2):163–169

    Article  Google Scholar 

  • Kendirli B, Çakmak B, Gökalp Z (2007) Analysis of climate factors for the development of greenhouses in eastern Black Sea region. Build Environ 42(7):4072–4078

    Article  Google Scholar 

  • Krug H, Liebig HP, Stutzel H (2002) Gemüseproduktion. Ulmer Verlag, Stuttgart

    Google Scholar 

  • Li J, Andrew DH (2011) A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Ecol Inform 6:228–241

    Article  Google Scholar 

  • MGM (2010) Meteorology bulletin reports, Turkey

  • Moral FJ (2010) Comparison of different geostatistical approaches to map climate variables: application to precipitation. Int J Climatol 30:620–631

    Google Scholar 

  • Nalder IA, Wein RW (1998) Spatial interpolation of climatic normals: test of a new method in the Canadian boreal forest. Agric For Meteorol 92:211–225

    Article  Google Scholar 

  • Phillips DL, Dolph J, Marks D (1992) A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain. Agric For Meteorol 58:119–141

    Article  Google Scholar 

  • Spadavecchia L, Williams M (2009) Can spatio-temporal geostatistical methods improve high resolution regionalisation of meteorological variables? Agric For Meteorol 149(6–7):1105–1117

    Article  Google Scholar 

  • Stefanescu V, Stefan S, Georgescu F (2013) Spatial distribution of heavy precipitation events in Romania between 1980 and 2009. Meteorol Appl. doi:10.1002/met.1391

    Google Scholar 

  • Toy S, Yilmaz S, Yilmaz H (2007) Determination of bioclimatic comfort in three different land uses in the city of Erzurum, Turkey. Build Environ 42:1315–1518

    Article  Google Scholar 

  • TUIK (2012) Available at http://www.tuik.gov.tr. 2012. (accessed 01.02.2014)

  • Tuzel Y, Gul A, Dasgan HY, Oztekin GB, Engindeniz S, Boyacı HF, Ersoy A, Tepe A, Ugur A (2010) Örtüaltı Yetiştiriciliğinin gelişimi. TMMOB Ziraat Mühendisleri Odası Türkiye Ziraat Mühendisliği VII. TeknikKongresi Bildiriler Kitabı: 559–576,11–15, Ankara

  • von Elsner B, Briassoulis D, Waaijenberg D, Mistriotis A, von ZabeltitzChr GJ, Russo G, Suay-Cortes R (2000) Review of structural and functional characteristics of greenhouses in European Union countries, part I: design requirements. J Agr Eng Res 75(1):1–16

    Article  Google Scholar 

  • Von Zabeltitz C (1999) Greenhouse structures. In: Stanhill G, Zvi Enoch H (eds) Greenhouse ecosystems, Ecosystems of the world, vol 20. Elsevier, Amsterdam, pp. 17–69

    Google Scholar 

  • Von Zabeltitz C (2011) Integrated greenhouse systems for mild winter climates: climatic conditions, design, construction, maintenance and climate control. Springer-Verlag, Berlin

    Book  Google Scholar 

  • Von Zabeltitz C, Baudoin W (1999) Greenhouses and shelter structures for tropical regions. FAO plant production and protection paper no. 154

  • Wan KKW, Danny HWL, Wenyan P, Joseph CL (2012) Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications. Appl Energ 97:274–282

    Article  Google Scholar 

  • Yıldırım D, Meral R (2010) Güneydoğu anadolu projesi (GAP) bölgesi ve civari illerde seraların iklimlendirme gereksinimleri. Harran Zir Fak 14(4):13–22

    Google Scholar 

  • Yurekli K, Simsek H, Cemek B, Karaman S (2007) Simulating climatic variables by using stochastic approach. Build Environ 42:3493–3499

    Article  Google Scholar 

Download references

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Correspondence to Bilal Cemek.

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Cemek, B., Güler, M. & Arslan, H. Spatial analysis of climate factors used to determine suitability of greenhouse production in Turkey. Theor Appl Climatol 128, 1–11 (2017). https://doi.org/10.1007/s00704-015-1686-5

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  • DOI: https://doi.org/10.1007/s00704-015-1686-5

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