Araştırma Makalesi
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ARICILIK İCİN ARAZİ KULLANIM DEĞİŞİKLİKLERİNİN GUNEYDOĞU ANADOLU İLLERİNDE İNCELENMESİ

Yıl 2020, Cilt: 20 Sayı: 1, 51 - 61, 12.06.2020
https://doi.org/10.31467/uluaricilik.684608

Öz

Bu çalışmada Mersin, Adana, Osmaniye ve Hatay illerindeki arazi değişimleri incelenmiştir. Çalışma alanı Türkiye bal üretimi (narenciye, pamuk vb.) için oldukça büyük öneme sahip olup şehirleşme ve iklim değişikliği kaynaklı arazi kullanım değişikliğine oldukça yatkındır. Arazi değişimleri, 2000, 2006, 2012 ve 2018 arazi kullanım haritaları kullanılarak Coğrafi Bilgi Sistemleri (CBS) platformunda değerlendirilmiştir. Ayrıca 2000, 2006, 2012 ve 2018 arıcılık istatistikleri kullanılarak arazi değişimleri karşılaştırılmıştır. Sonuçlara göre meyve ağaçları arazi örtüsü, 2000 yılından 2018 yılına kadar bölgenin narenciye üretim uygunluğundan dolayı 1210 km2 genişlemiştir. Toplamda 18 yıl içinde arıcılık için önemli olan 3170 km2 doğal bitki alanlarının yok olduğu gözlemlenmiştir. Çalışma alanı 42 ilçeyi barındırmakta olup bal üretimi 6500 tondan 15000 tona yükselmiştir. Arazi kullanım değişikliği ve etkilerini anlamak için arazi geçişleri 2000 yılından 2018 yılına kadar hesaplanmıştır. Arazi kullanım dönüşümleri, meyve ağaçları ve tarımsal alanların doğal bitki alanlarını yok ederek genişlediği sonucunu ortaya çıkartmıştır.

Kaynakça

  • Brown, M.J.F., Paxton, R.J. (2009). The conservation of bees: a global perspective. Apidologie, (40), 410–416. DOI: 10.1051/apido/2009019.
  • Damián, G.C. (2016). GIS-based optimal localisation of beekeeping in rural Kenya Master degree thesis, 30/ credits in Master in Geographical Information Sciences Department of Physical Geography and Ecosystems Science, Lund University
  • DeFries R.S., Foley J.A., Asner G.P. (2004) Land-use choices: balancing human needs and ecosystem function, Frontiers Ecol. Environ. 2, 249–257. DOI: 10.1890/1540-9295(2004)002[0249:LCBHNA]2.0.CO;2
  • Estoque, R.C., Murayama, Y. (2010). Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation Techniques. Research Journal of Applied Sciences, 5(3), 242-253. DOI: 10.3923/rjasci.2010.242.253
  • Estoque, R.C., Murayama, Y. (2011). Suitability Analysis for Beekeeping Sites Integrating GIS & MCE Techniques. Spatial Analysis and Modeling in Geographical Transformation Process. 978-94-007-0670-5. Springer Netherlands.
  • Guan, D., L, H., Inohae, T., Su, W., Nagaie, T., Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling, 222, 3761-3772. DOI: 0.1016/j.ecolmodel.2011.09.009
  • Halmy, M.W., Gessler, P.E., Hicke, J.A., Salem, B.B. (2015). Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Applied Geography, 63, 101-112. DOI: 10.1016/j.apgeog.2015.06.015
  • Huang, W., Liu, H., Luan, Q., Jiang, Q., Liu, J., Liu, H. (2008). Detection and prediction of land use change in Beijing based on remote sensing and GIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 75–82.
  • Johansen, C.A. (1977). Pesticides and pollinators. Annual Review of Entomology, 22, 177–192.
  • Klein A.-M., Vaissière B., Cane J.H., Steffan-Dewenter I., Cunningham S.A., Kremer C., Tscharntcke T. (2007) Importance of pollinators in changing landscapes for world crops, Proc. R. Soc. London B 274, 303–313. DOI: 10.1098/rspb.2006.3721
  • Lambin, E.F. (1997). Modeling and Monitoring Land-Cover Change Processes in Tropical Regions. Progress in Physical Geography, 21, 375-393.
  • Muller, M.R., Middleton, J. (1994). A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology, 9, 151-157.
  • Murray, E.T., Kuhlmann, M., Potts, S. (2009). Conservation ecology of bees: populations, species and communities. Apidologie, Springer Verlag, 40 (3), ff10.1051/apido/2009015ff. DOI: ff10.1051/apido/2009015.
  • Pimm S.L., Ayres M., Balmford A., Branch G., Brandon K., Brooks T., Bustamante R., Costanza R., Cowling R., Curran L.M., Dobson A., Farber S., da Fonseca G.A., Gascon C., Kitching R., McNeely J., Lovejoy T., Mittermeier R.A., Myers N., Patz J.A., Raffle B., Rapport D., Raven P., Roberts C., Rodriguez J.P., Rylands A.B., Tucker C., Safina C., Samper C., Stiassny M.L., Supriatna J., Wall D.H., Wilcove D. (2001) Can we defy nature’s end? Science 293, 2207–2208. DOI: 10.1126/science.1061626
  • Requier, F., Garnery, L., Kohl, P.L., Njovu, H.K., Pirk, C.W., Crewe, R.M., & Steffan-Dewenter, I. (2019). The Conservation of Native Honey Bees Is Crucial. Trends in ecology & evolution. DOI: 10.1016/j.tree.2019.04.008
  • Subedi, P., Subedi, K., Thapa, B., (2013). Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida. Applied Ecology and Environmental Sciences, 1(6), 126-132.
  • Thomas, H., Laurence, H.M. (2006). Modeling and projecting land-use and land-cover changes with a cellular automaton in considering landscape trajectories: An improvement for simulation of plausible future states; EARSeL eProc. 5 63–76.
  • Ye, B., Bai, Z. (2008). Simulating land use/cover changes of Nenjiang County based on CA-Markov model. International Federation for Information Processing Publications IFIP, 258, 321-330

LAND USE CHANGE ASSESMENT FOR BEEKEEPING IN SOUTHEAST ANATOLIA

Yıl 2020, Cilt: 20 Sayı: 1, 51 - 61, 12.06.2020
https://doi.org/10.31467/uluaricilik.684608

Öz

In this study, land use changes in Mersin, Adana, Osmaniye and Hatay provinces were determined. The study area has vital importance on honey production (citrus, cotton, etc.) for the Turkish beekeeping sector and it is very vulnerable to land use changes due to urbanization and climate change. The land use changes were determined by using 2000, 2006, 2012 and 2018 land cover maps in the Geographical Information Systems (GIS) platform. Moreover, 2000, 2006, 2012 and 2018 beekeeping statistics were retrieved to compare the land use changes and honey production. The results indicate that the fruit trees land use class has increased 1210 km2 from 2000 to 2018 because of these suitable lands for citrus production. In total, 3170 km2 natural plant areas have been destroyed within 18 years which threaten natural beekeeping activities. The study area includes 42 districts and when evaluating the beekeeping statistics, total honey production has increased from 6500 tons to 15000 tons from 2000 to 2018. For the purpose of evaluating land use change and its effects, transitions were determined for the 2000-2018 period to understand the change in land-use trends. The transitions revealed that fruit tree and agricultural lands are being enlarge by destroying the natural plant areas and other complex patterns which are important for beekeeping activities. 

Kaynakça

  • Brown, M.J.F., Paxton, R.J. (2009). The conservation of bees: a global perspective. Apidologie, (40), 410–416. DOI: 10.1051/apido/2009019.
  • Damián, G.C. (2016). GIS-based optimal localisation of beekeeping in rural Kenya Master degree thesis, 30/ credits in Master in Geographical Information Sciences Department of Physical Geography and Ecosystems Science, Lund University
  • DeFries R.S., Foley J.A., Asner G.P. (2004) Land-use choices: balancing human needs and ecosystem function, Frontiers Ecol. Environ. 2, 249–257. DOI: 10.1890/1540-9295(2004)002[0249:LCBHNA]2.0.CO;2
  • Estoque, R.C., Murayama, Y. (2010). Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation Techniques. Research Journal of Applied Sciences, 5(3), 242-253. DOI: 10.3923/rjasci.2010.242.253
  • Estoque, R.C., Murayama, Y. (2011). Suitability Analysis for Beekeeping Sites Integrating GIS & MCE Techniques. Spatial Analysis and Modeling in Geographical Transformation Process. 978-94-007-0670-5. Springer Netherlands.
  • Guan, D., L, H., Inohae, T., Su, W., Nagaie, T., Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling, 222, 3761-3772. DOI: 0.1016/j.ecolmodel.2011.09.009
  • Halmy, M.W., Gessler, P.E., Hicke, J.A., Salem, B.B. (2015). Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Applied Geography, 63, 101-112. DOI: 10.1016/j.apgeog.2015.06.015
  • Huang, W., Liu, H., Luan, Q., Jiang, Q., Liu, J., Liu, H. (2008). Detection and prediction of land use change in Beijing based on remote sensing and GIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 75–82.
  • Johansen, C.A. (1977). Pesticides and pollinators. Annual Review of Entomology, 22, 177–192.
  • Klein A.-M., Vaissière B., Cane J.H., Steffan-Dewenter I., Cunningham S.A., Kremer C., Tscharntcke T. (2007) Importance of pollinators in changing landscapes for world crops, Proc. R. Soc. London B 274, 303–313. DOI: 10.1098/rspb.2006.3721
  • Lambin, E.F. (1997). Modeling and Monitoring Land-Cover Change Processes in Tropical Regions. Progress in Physical Geography, 21, 375-393.
  • Muller, M.R., Middleton, J. (1994). A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology, 9, 151-157.
  • Murray, E.T., Kuhlmann, M., Potts, S. (2009). Conservation ecology of bees: populations, species and communities. Apidologie, Springer Verlag, 40 (3), ff10.1051/apido/2009015ff. DOI: ff10.1051/apido/2009015.
  • Pimm S.L., Ayres M., Balmford A., Branch G., Brandon K., Brooks T., Bustamante R., Costanza R., Cowling R., Curran L.M., Dobson A., Farber S., da Fonseca G.A., Gascon C., Kitching R., McNeely J., Lovejoy T., Mittermeier R.A., Myers N., Patz J.A., Raffle B., Rapport D., Raven P., Roberts C., Rodriguez J.P., Rylands A.B., Tucker C., Safina C., Samper C., Stiassny M.L., Supriatna J., Wall D.H., Wilcove D. (2001) Can we defy nature’s end? Science 293, 2207–2208. DOI: 10.1126/science.1061626
  • Requier, F., Garnery, L., Kohl, P.L., Njovu, H.K., Pirk, C.W., Crewe, R.M., & Steffan-Dewenter, I. (2019). The Conservation of Native Honey Bees Is Crucial. Trends in ecology & evolution. DOI: 10.1016/j.tree.2019.04.008
  • Subedi, P., Subedi, K., Thapa, B., (2013). Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida. Applied Ecology and Environmental Sciences, 1(6), 126-132.
  • Thomas, H., Laurence, H.M. (2006). Modeling and projecting land-use and land-cover changes with a cellular automaton in considering landscape trajectories: An improvement for simulation of plausible future states; EARSeL eProc. 5 63–76.
  • Ye, B., Bai, Z. (2008). Simulating land use/cover changes of Nenjiang County based on CA-Markov model. International Federation for Information Processing Publications IFIP, 258, 321-330
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekoloji
Bölüm Araştırma Makaleleri
Yazarlar

Fatih Sarı 0000-0001-8674-9028

Fatma Koyuncu 0000-0001-5829-0061

Yayımlanma Tarihi 12 Haziran 2020
Kabul Tarihi 8 Nisan 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 20 Sayı: 1

Kaynak Göster

Vancouver Sarı F, Koyuncu F. LAND USE CHANGE ASSESMENT FOR BEEKEEPING IN SOUTHEAST ANATOLIA. U.Arı D.-U.Bee J. 2020;20(1):51-6.

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