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Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province

Year 2023, , 268 - 280, 29.12.2023
https://doi.org/10.18615/anadolu.1394787

Abstract

This study has investigated how climatic parameters affect honey yield in İzmir Province under the conditions of migratory beekeeping. The climate parameters of the years 1990-2020 obtained from the Turkish Statistical Institute (TURKSTAT) and the General Directorate of Meteorology were used in this research. The data were analyzed considering the routes used by migratory beekeepers in İzmir province to transport their colonies, and the effects of climatic parameters in these regions on honey yield were determined using a decision tree algorithm. The average minimum temperature was identified as the first effective factor for honey yield. This was followed by average wind speed, average relative humidity, average maximum temperature, total precipitation and average temperature. Based on results the average honey yield per hive is predicted to be 26.29 kg in climatic conditions where the average minimum temperature is greater than 10.81°C, the relative humidity is more than 66.03% and the average temperature is more than 18.36°C.

References

  • Abou-Shaara, H. F., A. A. Al-Ghamdi, and A. A. Mohamed. 2012. Tolerance of two honey bee races to various temperature and relative humidity gradients. Environmental and Experimental Biology, 10(4):133-138.
  • Aksoy, A., Y.E. Ertürk, S. Erdoğan, E. Eyduran, and M.M. Tariq. 2018. Estimation of honey production in beekeeping enterprises from eastern part of Turkey through some data mining algorithms. Pakistan Journal of Zoology 50(6): 2199-2207.
  • Aktürk, D., and B. Aydın. 2019. Structural characteristics of beekeeping enterprises and beekeeping activities in Çanakkale province. Turkish Journal of Agriculture-Food Science and Technology, 7(10):618-1628.
  • Almahdi, H. 2020. Predicting crops yield: Machine learning nano-degree capstone project data science-exercise. Available at: https://towardsdatascience.com/ predicting-crops-yield-machine-learning-nanodegree-capstone-project-e6ec9349f69 (Accessed on 17.08.2022).
  • Anonymous.2009. İzmir Metropolitan Municipality. 2010-2017 Stratejik Planı. Available at: http://www.izmir.bel.tr/ (Accessed: 17 June 2022)
  • Bekret, A., S. Çankaya, and S. Silici. 2015. The effects of mixture of plant extracts and oils are added to syrup on honeybee colony development and honey yield. Turkish Journal of Agriculture-Food Science and Technology, 3(6).
  • Breiman L., J. Friedman, R. Olshen, and C.J. Stone. 1984. Classification and Regression Trees. Chapman and Hall, Wadsworth Inc., New York, USA.
  • Calovi, M., C. M. Grozinger, D. A. Miller, and S. C. Goslee. 2021. Summer weather conditions influence winter survival of honey bees (Apis mellifera) in the northeastern United States. Scientific reports, 11(1), 1553.
  • Chang, L. Y., and H. W. Wang. 2006. Analysis of traffic injury severity: An application of non-parametric classification tree techniques. Accident Analysis and Prevention, 38(5): 1019-1027.
  • Chanie, D., G. Melese, and H. Ayalew. 2019. Honey bee products marketing practices: Challenges and opportunities in and around Maksegnit Town, Amhara Region, Ethiopia. AJAAR, 10(3):1-8.
  • Çukur, T., F. Çukur. 2022. Determining factors affecting cooperative membership of the beekeepers using decision tree algorithms, Journal of Agricultural Sciences, 28 (1): 25-32.
  • Degu, T. K. 2022. Beekeeping in the face of climate change in Ada Berga District, Oromia, Ethiopia. International Journal of Environmental Studies, 79(3):450-461.
  • Doğan, S. 2005. Türkiye’nin küresel iklim değişikliğinde rolü ve önleyici küresel çabaya katılım girişimleri. Ç.Ü. İktisadi ve İdari Bilimler Dergisi, 6(2): 57-73.
  • Duru, S., ve O. Parlakay. 2021. Türkiye’de iklim değişikliğinin bal verimine etkisi: ARDL sınır testi yaklaşımı. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 26(3):791-800.
  • Feng, X., H. Tian, J. Cong, and C. Zhao. 2023. A method review of the climate change impact on crop yield. Frontiers in Forests and Global Change, 6:1198186. doi: 10.3389/ffgc.2023.1198186.
  • Folayan, J., and J. Bifarin. 2013. Profitability analysis of honey production in Edo North Local Government Area of Edo State, Nigeria. Journal of Agricultural Economics and Development, 2(2):60-64.
  • Gajardo-Rojas, M., A. A. Muñoz, J. Barichivich, K. Klock-Barría, E. M. Gayo, F. E. Fontúrbel, M. Olea, C. M. Lucas, and C. Veas. 2022. Declining honey production and beekeeper adaptation to climate change in Chile. Progress in Physical Geography: Earth and Environment, 1-20.
  • Gallardo-López, F., B. P. Castellanos-Potenciano, G. Díaz-Padilla, A. Pérez-Vásquez, C. Landeros-Sánchez, and Á. Sol-Sánchez. 2021. Cognitive dissonance in the face of climate change in beekeepers: A case study in Mexico. Revista Mexicana de Ciencias Pecuarias, 12(1): 238-255.
  • Gounari, S., N. Proutsos, and G. Goras. 2022. How does weather impact on beehive productivity in a Mediterranean Island? Italian Journal of Agrometeorology, (1): 65-81.
  • Gunduz, M., and I. Al-Ajji. 2022. Employment of CHAID and CRT decision tree algorithms to develop bid/no-bid decision-making models for contractors. Engineering, Construction and Architectural Management, 29(9): 3712-3736.
  • Hatjina, F., C. Costa, R. Büchler, A. Uzunov, M. Drazic, J. Filipi, and N. Kezic. 2014. Population dynamics of European honey bee genotypes under different environmental conditions. Journal of Apicultural Research, 53(2):233-247.
  • Hızlı, H., Ç. Takma, and Ş. Ergül. 2022. Application of Classification and Regression Tree (CRT) method for predicting the some environmental factors affecting weaning weight of Awassi lamb. Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG), 39(3):185-190.
  • Hillayová, M. K., Ľ. Korený, and J. Škvarenina. 2022. The local environmental factors impact the infestation of bee colonies by mite Varroa destructor. Ecological Indicators, 14, 109104.
  • Joshi, N.C., and P.C. Joshi. 2010. Foraging behavior of Apis spp. on apple flowers in a subtropical environment. New York Science Journal, 3:71–76.
  • Karadas, K., and H.I. Kadırhanogullari. 2017. Predicting honey production using data mining and artificial neural network algorithms in apiculture. Pakistan Journal of Zoology 49(5): 1611-1619.
  • Klein, A.M., B.E. Vaissiere, J.H. Cane, I. Steffan-Dewenter, S.A. Cunningham, C. Kremen, and T. Tscharntke. 2007. Importance of pollinators in changing landscapes for world crops. proc. r. soc. b. biol. sci., 274: 303–313.
  • Kutlu M.A., F.A. Özdemir ve A. Gül, 2019. Küresel iklim değişikliğinin arıcılık faaliyetleri üzerine etkileri. Uluslararası Arıcılık Araştırmaları ve Sürdürülebilir Kırsal Kalkınma Stratejileri Kongresi, 11-13 Ekim, Bingöl, s.343-350.
  • Langowska, A., M. Zawilak, T.H. Sparks, A. Glazaczow, P.W. Tomkins, and P. Tryjanowski. 2017. Long-term effect of temperature on honey yield and honeybee phenology. International Journal of Biometeorology, 61:1125-1132.
  • Malisa, G.G., and P.Z. Yanda. 2016. Impacts of climate variability and change on beekeeping productivity. Bulletin of Animal Health and Production in Africa, African Journals Online, 64(1): 49–55.
  • MGM, 2022. Available at: https://www.mgm.gov.tr/ (Accessed: 24 May 2022).
  • Novelli, S., M. Vercelli, and C. Ferracini. 2021. An easy mixed-method analysis tool to support rural development strategy decision-making for beekeeping. Land, 10(7):675.
  • Oluwaseyi, F.O., M.A. Mustapha, and I.G. Oluwaseyi. 2022. Effects of temperature and relative humidity on colonization of bees hives within Futa community. Journal of Research in Forestry, Wildlife and Environment, 14(2):18-25.
  • Öztürk, K. 2002. Küresel iklim değişikliği ve Türkiye’ye olası etkileri. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 22(1): 47-65.
  • Pătruică, S., I. Peț, and E. Simiz. 2021. Beekeeping in the context of climate change. Scientific Papers; Series D; Animal Science, Bucharest, Romania, 64, 2393-2260.
  • Pocol, C. B., P. Šedík, I. S. Brumă, A. Amuza, and A. Chirsanova. 2021. Organic beekeeping practices in Romania: Status and perspectives towards a sustainable development. Agriculture, 11(4), 281.
  • Price, M.V., D.R. Campbell, N.M. Waser, and A.K. Brody. 2008. Bridging the generation gap in plants: Pollination, parental fecundity, and offspring demography. Ecology, 89: 1596–1604.
  • Rahmad, B., N. Damiri, and M. Mulawarman. 2021. Participation of beekeeping group on forest sustainability in Muara Enim Regency, South Sumatra Province. Sriwijaya Journal of Environment, 6(1):42-48.
  • Reddy, P., A. Verghese, and V.V. Rajan. 2012. Potential impact of climate change on honeybees (Apis spp.) and their pollination services. Pest Management in Horticultural Ecosystems, 18:121–127.
  • Schweitzer, P., I. Nombré, and J. Boussim. 2013. Honey production for assessing the impact of climatic changes on vegetation. Tropicultura, 31: 98-102.
  • Steinberg D., and P. Colla P. 1997. CART–Classification and regression trees, Salford Systems, San Diego, California.
  • Switanek M., R. Brodschneider, K. Crailsheim, and H.Truhetz. 2015. Impacts of austrian climate variability on honey bee mortality. In EGU General Assembly Conference Abstracts. 17, 9575.
  • Syed, A., and A.J. Urooj. 2017. The effects of climate change on apiculture industry. European Journal of Business, Economics and Accountancy, 5(1):97–98.
  • Szentgyörgyi, H., K. Czekońska, and A. Tofilski. 2018. Honey bees are larger and live longer after developing at low temperature. Journal of Thermal Biology, 78:219-226.
  • Şahin, M., E. Topal, N. Özsoy Taşkıran, and E. Altunoğlu. 2015. The effects of climate change on fruit growing and beekeeping. Journal of Anatolian Natural Sciences, 6:147-154.
  • Şengül Z. 2020. Ege bölgesinde arıcılık yapan işletmelerin sürdürülebilirlik yönünden değerlendirilmesi, Doktora tezi. EÜ. Fen Bilimleri Enstitüsü Tarım Ekonomisi Anabilim Dalı, Bornova- İzmir.
  • Topal, E., N. Özsoy, ve N. Şahinler. 2016. Küresel ısınma ve arıcılığın geleceği. Mustafa Kemal Üniversitesi Ziraat Fakültesi Dergisi, 21(1):112-120.
  • TURKSTAT. 2022. Available at: http://www.tuik.gov.tr (Accessed: 24 May 2022).
  • Uffia, I. D., C. O. Akachuku, O. E. Udofia, and I. B. Nsien. 2021. Meteorological influences on some melliferous plant species: Nectar nutritional composition and honey yield in mangrove vegetation zone of Akwa Ibom State, Nigeria. Global Journal of Pure and Applied Sciences, 27(4):361-366.
  • Vercelli, M., S. Novelli, P. Ferrazzi, G. Lentini, and C. Ferracini. 2021. A qualitative analysis of beekeepers' perceptions and farm management adaptations to the impact of climate change on honey bees. Insects, 12(3):228.
  • Yaşar, İ., Ş. Kök, ve İ. Kasap. 2021. Küresel ısınma ve iklim değişikliğinin böcekler üzerindeki olası etkileri. ÇOMÜ LJAR, 2(4):67-75.
  • Yeninar, H. 2018. Kadim topraklarda arı ve arıcının yolculuğu: Göçer arıcılık. Muğla İli Arı Yetiştiricileri Birliği Yayınları, 36 p.
  • Yücel, B. 2008. Çevresel sorunların bal arıları üzerine etkileri. Hasad, 279, 40-43.

İklim Parametrelerinin Gezginci Arıcılık Modeli Koşullarında Bal Verimi Üzerine Etkisinin Karar Ağaçları Yöntemi ile Araştırılması: İzmir İli Örneği

Year 2023, , 268 - 280, 29.12.2023
https://doi.org/10.18615/anadolu.1394787

Abstract

Bu çalışmada göçer arıcılığın yapıldığı İzmir ilinde iklim parametrelerinin bal verimini nasıl etkilediği araştırılmıştır. Çalışmada kullanılan veriler 1990-2020 yıllarına ilişkin olup, Türkiye İstatistik Kurumu ve Meteoroloji Genel Müdürlüğünden temin edilmiştir. Verilerin analizinde İzmir ilinde göçer arıcıların, kolonilerini taşıdıkları güzergahlar dikkate alınarak bu bölgelerdeki iklim parametrelerinin İzmir ili bal verimine etkisi Karar ağacı algoritması ile ortaya konulmuştur. Sonuçlara göre bal verimine ilk etkili faktörün ortalama minimum sıcaklık değişkeni olduğu belirlenmiştir. Bunu sırasıyla ortalama rüzgâr hızı değişkeni, nispi nem, ortalama maksimum sıcaklık, toplam yağış ve ortalama sıcaklık izlemiştir. Sonuçlara göre ortalama minimum sıcaklığın 0,81 dereceden yüksek, nisbi nemin %66,03’ten fazla ve ortalama sıcaklığın 18,36 dereceden fazla olduğu iklim koşullarında kovan başına bal verim ortalamasının 26,29 kg olması beklenmektedir.

References

  • Abou-Shaara, H. F., A. A. Al-Ghamdi, and A. A. Mohamed. 2012. Tolerance of two honey bee races to various temperature and relative humidity gradients. Environmental and Experimental Biology, 10(4):133-138.
  • Aksoy, A., Y.E. Ertürk, S. Erdoğan, E. Eyduran, and M.M. Tariq. 2018. Estimation of honey production in beekeeping enterprises from eastern part of Turkey through some data mining algorithms. Pakistan Journal of Zoology 50(6): 2199-2207.
  • Aktürk, D., and B. Aydın. 2019. Structural characteristics of beekeeping enterprises and beekeeping activities in Çanakkale province. Turkish Journal of Agriculture-Food Science and Technology, 7(10):618-1628.
  • Almahdi, H. 2020. Predicting crops yield: Machine learning nano-degree capstone project data science-exercise. Available at: https://towardsdatascience.com/ predicting-crops-yield-machine-learning-nanodegree-capstone-project-e6ec9349f69 (Accessed on 17.08.2022).
  • Anonymous.2009. İzmir Metropolitan Municipality. 2010-2017 Stratejik Planı. Available at: http://www.izmir.bel.tr/ (Accessed: 17 June 2022)
  • Bekret, A., S. Çankaya, and S. Silici. 2015. The effects of mixture of plant extracts and oils are added to syrup on honeybee colony development and honey yield. Turkish Journal of Agriculture-Food Science and Technology, 3(6).
  • Breiman L., J. Friedman, R. Olshen, and C.J. Stone. 1984. Classification and Regression Trees. Chapman and Hall, Wadsworth Inc., New York, USA.
  • Calovi, M., C. M. Grozinger, D. A. Miller, and S. C. Goslee. 2021. Summer weather conditions influence winter survival of honey bees (Apis mellifera) in the northeastern United States. Scientific reports, 11(1), 1553.
  • Chang, L. Y., and H. W. Wang. 2006. Analysis of traffic injury severity: An application of non-parametric classification tree techniques. Accident Analysis and Prevention, 38(5): 1019-1027.
  • Chanie, D., G. Melese, and H. Ayalew. 2019. Honey bee products marketing practices: Challenges and opportunities in and around Maksegnit Town, Amhara Region, Ethiopia. AJAAR, 10(3):1-8.
  • Çukur, T., F. Çukur. 2022. Determining factors affecting cooperative membership of the beekeepers using decision tree algorithms, Journal of Agricultural Sciences, 28 (1): 25-32.
  • Degu, T. K. 2022. Beekeeping in the face of climate change in Ada Berga District, Oromia, Ethiopia. International Journal of Environmental Studies, 79(3):450-461.
  • Doğan, S. 2005. Türkiye’nin küresel iklim değişikliğinde rolü ve önleyici küresel çabaya katılım girişimleri. Ç.Ü. İktisadi ve İdari Bilimler Dergisi, 6(2): 57-73.
  • Duru, S., ve O. Parlakay. 2021. Türkiye’de iklim değişikliğinin bal verimine etkisi: ARDL sınır testi yaklaşımı. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 26(3):791-800.
  • Feng, X., H. Tian, J. Cong, and C. Zhao. 2023. A method review of the climate change impact on crop yield. Frontiers in Forests and Global Change, 6:1198186. doi: 10.3389/ffgc.2023.1198186.
  • Folayan, J., and J. Bifarin. 2013. Profitability analysis of honey production in Edo North Local Government Area of Edo State, Nigeria. Journal of Agricultural Economics and Development, 2(2):60-64.
  • Gajardo-Rojas, M., A. A. Muñoz, J. Barichivich, K. Klock-Barría, E. M. Gayo, F. E. Fontúrbel, M. Olea, C. M. Lucas, and C. Veas. 2022. Declining honey production and beekeeper adaptation to climate change in Chile. Progress in Physical Geography: Earth and Environment, 1-20.
  • Gallardo-López, F., B. P. Castellanos-Potenciano, G. Díaz-Padilla, A. Pérez-Vásquez, C. Landeros-Sánchez, and Á. Sol-Sánchez. 2021. Cognitive dissonance in the face of climate change in beekeepers: A case study in Mexico. Revista Mexicana de Ciencias Pecuarias, 12(1): 238-255.
  • Gounari, S., N. Proutsos, and G. Goras. 2022. How does weather impact on beehive productivity in a Mediterranean Island? Italian Journal of Agrometeorology, (1): 65-81.
  • Gunduz, M., and I. Al-Ajji. 2022. Employment of CHAID and CRT decision tree algorithms to develop bid/no-bid decision-making models for contractors. Engineering, Construction and Architectural Management, 29(9): 3712-3736.
  • Hatjina, F., C. Costa, R. Büchler, A. Uzunov, M. Drazic, J. Filipi, and N. Kezic. 2014. Population dynamics of European honey bee genotypes under different environmental conditions. Journal of Apicultural Research, 53(2):233-247.
  • Hızlı, H., Ç. Takma, and Ş. Ergül. 2022. Application of Classification and Regression Tree (CRT) method for predicting the some environmental factors affecting weaning weight of Awassi lamb. Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG), 39(3):185-190.
  • Hillayová, M. K., Ľ. Korený, and J. Škvarenina. 2022. The local environmental factors impact the infestation of bee colonies by mite Varroa destructor. Ecological Indicators, 14, 109104.
  • Joshi, N.C., and P.C. Joshi. 2010. Foraging behavior of Apis spp. on apple flowers in a subtropical environment. New York Science Journal, 3:71–76.
  • Karadas, K., and H.I. Kadırhanogullari. 2017. Predicting honey production using data mining and artificial neural network algorithms in apiculture. Pakistan Journal of Zoology 49(5): 1611-1619.
  • Klein, A.M., B.E. Vaissiere, J.H. Cane, I. Steffan-Dewenter, S.A. Cunningham, C. Kremen, and T. Tscharntke. 2007. Importance of pollinators in changing landscapes for world crops. proc. r. soc. b. biol. sci., 274: 303–313.
  • Kutlu M.A., F.A. Özdemir ve A. Gül, 2019. Küresel iklim değişikliğinin arıcılık faaliyetleri üzerine etkileri. Uluslararası Arıcılık Araştırmaları ve Sürdürülebilir Kırsal Kalkınma Stratejileri Kongresi, 11-13 Ekim, Bingöl, s.343-350.
  • Langowska, A., M. Zawilak, T.H. Sparks, A. Glazaczow, P.W. Tomkins, and P. Tryjanowski. 2017. Long-term effect of temperature on honey yield and honeybee phenology. International Journal of Biometeorology, 61:1125-1132.
  • Malisa, G.G., and P.Z. Yanda. 2016. Impacts of climate variability and change on beekeeping productivity. Bulletin of Animal Health and Production in Africa, African Journals Online, 64(1): 49–55.
  • MGM, 2022. Available at: https://www.mgm.gov.tr/ (Accessed: 24 May 2022).
  • Novelli, S., M. Vercelli, and C. Ferracini. 2021. An easy mixed-method analysis tool to support rural development strategy decision-making for beekeeping. Land, 10(7):675.
  • Oluwaseyi, F.O., M.A. Mustapha, and I.G. Oluwaseyi. 2022. Effects of temperature and relative humidity on colonization of bees hives within Futa community. Journal of Research in Forestry, Wildlife and Environment, 14(2):18-25.
  • Öztürk, K. 2002. Küresel iklim değişikliği ve Türkiye’ye olası etkileri. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 22(1): 47-65.
  • Pătruică, S., I. Peț, and E. Simiz. 2021. Beekeeping in the context of climate change. Scientific Papers; Series D; Animal Science, Bucharest, Romania, 64, 2393-2260.
  • Pocol, C. B., P. Šedík, I. S. Brumă, A. Amuza, and A. Chirsanova. 2021. Organic beekeeping practices in Romania: Status and perspectives towards a sustainable development. Agriculture, 11(4), 281.
  • Price, M.V., D.R. Campbell, N.M. Waser, and A.K. Brody. 2008. Bridging the generation gap in plants: Pollination, parental fecundity, and offspring demography. Ecology, 89: 1596–1604.
  • Rahmad, B., N. Damiri, and M. Mulawarman. 2021. Participation of beekeeping group on forest sustainability in Muara Enim Regency, South Sumatra Province. Sriwijaya Journal of Environment, 6(1):42-48.
  • Reddy, P., A. Verghese, and V.V. Rajan. 2012. Potential impact of climate change on honeybees (Apis spp.) and their pollination services. Pest Management in Horticultural Ecosystems, 18:121–127.
  • Schweitzer, P., I. Nombré, and J. Boussim. 2013. Honey production for assessing the impact of climatic changes on vegetation. Tropicultura, 31: 98-102.
  • Steinberg D., and P. Colla P. 1997. CART–Classification and regression trees, Salford Systems, San Diego, California.
  • Switanek M., R. Brodschneider, K. Crailsheim, and H.Truhetz. 2015. Impacts of austrian climate variability on honey bee mortality. In EGU General Assembly Conference Abstracts. 17, 9575.
  • Syed, A., and A.J. Urooj. 2017. The effects of climate change on apiculture industry. European Journal of Business, Economics and Accountancy, 5(1):97–98.
  • Szentgyörgyi, H., K. Czekońska, and A. Tofilski. 2018. Honey bees are larger and live longer after developing at low temperature. Journal of Thermal Biology, 78:219-226.
  • Şahin, M., E. Topal, N. Özsoy Taşkıran, and E. Altunoğlu. 2015. The effects of climate change on fruit growing and beekeeping. Journal of Anatolian Natural Sciences, 6:147-154.
  • Şengül Z. 2020. Ege bölgesinde arıcılık yapan işletmelerin sürdürülebilirlik yönünden değerlendirilmesi, Doktora tezi. EÜ. Fen Bilimleri Enstitüsü Tarım Ekonomisi Anabilim Dalı, Bornova- İzmir.
  • Topal, E., N. Özsoy, ve N. Şahinler. 2016. Küresel ısınma ve arıcılığın geleceği. Mustafa Kemal Üniversitesi Ziraat Fakültesi Dergisi, 21(1):112-120.
  • TURKSTAT. 2022. Available at: http://www.tuik.gov.tr (Accessed: 24 May 2022).
  • Uffia, I. D., C. O. Akachuku, O. E. Udofia, and I. B. Nsien. 2021. Meteorological influences on some melliferous plant species: Nectar nutritional composition and honey yield in mangrove vegetation zone of Akwa Ibom State, Nigeria. Global Journal of Pure and Applied Sciences, 27(4):361-366.
  • Vercelli, M., S. Novelli, P. Ferrazzi, G. Lentini, and C. Ferracini. 2021. A qualitative analysis of beekeepers' perceptions and farm management adaptations to the impact of climate change on honey bees. Insects, 12(3):228.
  • Yaşar, İ., Ş. Kök, ve İ. Kasap. 2021. Küresel ısınma ve iklim değişikliğinin böcekler üzerindeki olası etkileri. ÇOMÜ LJAR, 2(4):67-75.
  • Yeninar, H. 2018. Kadim topraklarda arı ve arıcının yolculuğu: Göçer arıcılık. Muğla İli Arı Yetiştiricileri Birliği Yayınları, 36 p.
  • Yücel, B. 2008. Çevresel sorunların bal arıları üzerine etkileri. Hasad, 279, 40-43.
There are 52 citations in total.

Details

Primary Language English
Subjects Bee and Silkworm Breeding and Improvement
Journal Section Makaleler
Authors

Zekiye Şengül 0000-0002-2496-2867

Banu Yücel 0000-0003-4911-7720

Gamze Saner 0000-0002-2897-9543

Çiğdem Takma 0000-0001-8561-8333

Publication Date December 29, 2023
Submission Date November 23, 2023
Acceptance Date December 13, 2023
Published in Issue Year 2023

Cite

APA Şengül, Z., Yücel, B., Saner, G., Takma, Ç. (2023). Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi, 33(2), 268-280. https://doi.org/10.18615/anadolu.1394787
AMA Şengül Z, Yücel B, Saner G, Takma Ç. Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province. ANADOLU. December 2023;33(2):268-280. doi:10.18615/anadolu.1394787
Chicago Şengül, Zekiye, Banu Yücel, Gamze Saner, and Çiğdem Takma. “Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province”. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 33, no. 2 (December 2023): 268-80. https://doi.org/10.18615/anadolu.1394787.
EndNote Şengül Z, Yücel B, Saner G, Takma Ç (December 1, 2023) Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 33 2 268–280.
IEEE Z. Şengül, B. Yücel, G. Saner, and Ç. Takma, “Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province”, ANADOLU, vol. 33, no. 2, pp. 268–280, 2023, doi: 10.18615/anadolu.1394787.
ISNAD Şengül, Zekiye et al. “Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province”. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 33/2 (December 2023), 268-280. https://doi.org/10.18615/anadolu.1394787.
JAMA Şengül Z, Yücel B, Saner G, Takma Ç. Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province. ANADOLU. 2023;33:268–280.
MLA Şengül, Zekiye et al. “Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province”. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi, vol. 33, no. 2, 2023, pp. 268-80, doi:10.18615/anadolu.1394787.
Vancouver Şengül Z, Yücel B, Saner G, Takma Ç. Investigating the Impact of Climate Parameters on Honey Yield under Migratory Beekeeping Conditions through Decision Tree Analysis: The Case of İzmir Province. ANADOLU. 2023;33(2):268-80.
29899ANADOLU Journal by Aegean Agricultural Research Institute is licensed under CC BY-NC-ND 4.0  

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