Effects of phenological stages, growth and meteorological factor on the albedo of different crop cultivars

Authors

  • Fatih Bakanoğulları Atatürk Soil Water and Agricultural Meteorology Research Inst. Kirklareli
  • Levent Şaylan Istanbul Technical University, Faculty of Aeronautics and Astronautics, Department of Meteorological Engineering, Istanbul
  • Serhan Yeşilköy Istanbul Directorate of Provincial Agriculture and Forestry, Istanbul

DOI:

https://doi.org/10.36253/ijam-1445

Keywords:

Agrometeorology, Albedo, Winter wheat, Barley, Sunflower

Abstract

Albedo is a key component of the atmospheric, climatologic and remote sensing studies by means of global warming, energy balance, evapotranspiration, climate models, hydrological cycle etc.  For these reasons, the accurate determination of surface albedo has become more important. In this study, the variation of measured albedo values of winter wheat, barley and sunflower cultivars according to phenological stages was investigated for the first time in the northwestern part of Turkey. Additonally, influences of leaf area index as growth indicator and rainfall as meteorological variable on albedo were also analyzed. The average albedo values of winter wheat, barley and sunflower in both growing periods varied from 0.176 to 0.190 for winter wheat, from 0.171 to 0.189 for sunflower and from 0.187 to 0.214 for barley cultivars. According to phenological stages, the minimum and maximum average albedo values were found for winter wheat as 0.121 between sowing and germination and 0.247 between stem formation and head emergence; for sunflower as 0.150 between sowing and germination and 0.212 between leaf initiation and immature bud; for barley as 0.144 sowing and germination and 0.261 between head emergence and flowering stages. Additionally, significant relationships were found between albedo and leaf area index for winter wheat, barley and sunflower as r2=0.87, r2=0.82 and r2=0.77, respectively. 

Author Biographies

Levent Şaylan, Istanbul Technical University, Faculty of Aeronautics and Astronautics, Department of Meteorological Engineering, Istanbul

Istanbul Technical University, Faculty of Aeronautics and Astronautics, Department of Meteorological Engineering, Istanbul, Turkey

Serhan Yeşilköy, Istanbul Directorate of Provincial Agriculture and Forestry, Istanbul

Istanbul Directorate of Provincial Agriculture and Forestry, Istanbul, Turkey

References

Bowers, S.A., Hanks, A.J. 1965. Reflection of radiant energy from soil. Soil Science, 100: 130-138.

Breuer, L., Eckhardt, K., Frede, H.G. 2003. Plant parameter values for models in temperate climates. Ecological Modelling, 169: 237–293 doi: 10.1016/S0304-3800(03)00274-6.

Dexter, R. 2004. Diurnal and seasonal albedo trends of wheat at the Bratt’s Lake observatory, Saskatchewan. Dissertation, Simon Fraser University.

Doughty, C.E., Field, C.B., McMillan, A.M.S. 2011. Can crop albedo be increased throughy the modification of leaf trichomes, and could this cool regional climate. Climatic Change, 104: 3379-387.

Fritschen, L.J. 1967. Net and solar radiation relations over irrigatedfield crops. Agric. Met. 4: 55–62.

Fuller, D.O., Ottke, C. 2002. Land cover, rainfall and land-surface albedo in West Africa. Climatic Change, 54(1-2): 181-204.

Gates, D.M. 1980. Biophysical Ecology. Springer, New York, 611 pp.

Henderson-Sellers, A., Wilson, M. 1983. Surface albedo data for climate modeling. Rev. Geophys. Space Phys., 21: 1743–1778.

Iqbal, M. 1983. An introduction to solar radiation. Academic Press, Toronto, 390 pp.

Impens, I., Lemeur, R. 1969. The radiation balance of several field crops. Archiv für Meteorologie, Geophysik und Bioklimatologie, Serie B, 17(2-3): 261-268.

Iziomon, M.G., Mayer, H. 2002. On the variability and modelling of surface albedo and longwave radiation components. Agricultural and Forest Meteorology, 111: 141-152.

Jarvis, P.G. 1976. Coniferous forest. Vegetation and the Atmosphere, 2: 171-240.

Kala, J., Hirsch, A.L. 2020. Could crop albedo modification reduce regional warming over Australia? Weather and Climate Extremes, 30. https://doi.org/10.1016/j.wace.2020.100282.

Kondratyev, K.Y. 1969. Radiation in the atmosphere. Academic Press, New York, 912 pp.

Kondratyev, K.Y. 1972. Radiation processes in the atmosphere. World Meteorological Organization, Geneva, 214 pp.

Kumar, S., Mocko, D., Vuyovich, C., Peters-Lidard, C. 2020. Impact of surface albedo assimilation on snow estimation. Remote Sensing, 12(4): 645.

Linacre, E. 1992. Climate data and resources: a reference and guide. London: Routledge. doi.org/10.1177/030913339401800122, ISBN: 0 415 05702 7.

Minnis, P., Mayor, S., Smith, W.L., Young, D. F. 1997. Asymmetry in the diurnal variation of surface albedo. IEEE Transactions on Geoscience and Remote Sensing, 35(4): 879-890.

Monteith, J.L., Unsworth, M.H. 1990. Principles of environmental physics. Edward Arnold, London, 291 pp.

Myhre, G., Myhre, A. 2003. Uncertainties in radiative forcing due to surface albedo changes caused by land-use changes. Journal of Climate, 16(10), 1511-1524.

Ogilvy, J.A., Merklinger, H.M. 1991. Theory of wave scattering from random rough surfaces. J. Acoust. Soc. Am. 90: 33-82.

Oguntunde, P.G. Van de Giesen, N. 2004. Crop growth and development effects on surface albedo for maize and cowpea fields in Ghana, West Africa. International Journal of Biometeorology, 49(2): 106-112.

Pielke, R.A. 1984. Mesoscale meteorological modeling. Academic Press, 612 pp.

Piggin, I., Schwerdtfeger, P., 1973. Variations in the albedo of wheat and barley crops

Variationen der Albedo von Weizen- und Gerstenfeldern. Archiv für Meteorologie, Geophysik und Bioklimatologie, Serie B, 21, 365–391.

Post, D.F., Bryant, R.B., Batchily, A.K., Huete, A.R., Levine, S.J., Mays, M.D., Escadafal, R. 1993. Correlations between field and laboratory measurements of soil color. Soil Color, 31: 35-49.

Rauner, J.L. 1976. Deciduous forests. In vegetation and the atmosphere, 2: 241-264.

Ridgwell, A., Singarayer, J.S., Hetherington, A.M., Valdes, P.J. 2009. Tackling regional climate change by leaf albedo bio-geoengineering. Current Biology, 19(2): 146-150.

Sellers, W.D. 1965. Physical climatology. Chicago. University of Chicago Press, 272 pp. doi.org/10.1177/0309133308096757.

Shuttleworth, W.J. 1989. Micrometeorology of temperate and tropical forest. Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 324(1223): 299-334.

Song, J. 1998. Diurnal asymmetry in surface albedo. Agric. For. Meteorol. 92: 181–189.

Starr J, Zhang J, Reid J.S., Roberts D.C. 2020. Albedo impacts of changing agricultural practices in the United States through Space-Borne analysis. Remote Sensing; 12(18):2887. https://doi.org/10.3390/rs12182887

Şerban, G., Cotfas, D.T., Cotfas, P.A. 2011. Significant differences in crop albedo among Romanian winter wheat cultivars. Romanian Agricultural Research, 28: 11-15.

Uysal, S.K., Şaylan, L. 2019. Assessment of soil heat flux equations for different crops under semi humid conditions. Italian Journal of Agrometeorology (2): 49-61.doi: 10.13128/ijam-652

Yin, X. 1998. The albedo of vegetated land surfaces: systems analysis and mathematical modeling. Theoretical and applied climatology, 60(1-4): 121-140.

Wang, K., Liang, S., Schaaf, C.L., Strahler, A.H. 2010. Evaluation of moderate resolution imaging spectroradiometer land surface visible and shortwave albedo products at FLUXNET sites. Journal of Geophysical Research: Atmospheres, 115: D17107. https://doi.org/10.1029/2009JD013101

Wie, J., Hong, S.O., Byon, J.Y., Ha, J.C., Moon, B.K. 2020. Sensitivity analysis of surface energy budget to albedo parameters in Seoul Metropolitan Area using the unified model, Atmosphere, 2-12.

Wood, A.J., Ackland, G.J., Dyke, J.G., Williams, H.T.P., &. Lenton, T.M. 2008. Daisyworld: A review, Rev. Geophys., 46, RG1001, doi:10.1029/2006RG000217

Zhang, Y.F., Wang, X.P., Pan, Y.X., Hu, R. 2013. Diurnal and seasonal variations of surface albedo in a spring wheat field of arid lands of Northwestern China. International journal of Biometeorology, 57(1): 67-73.

Zhou, M., Chen, G., Dong, Z., Xiea, B., Gua, S., Shi, P. 2020. Estimation of surface albedo from meteorological observations across China. Agricultural and Forest Meteorology, 281, doi.org/10.1016/j.agrformet.2019.107848.

Downloads

Published

2022-07-19

How to Cite

Bakanoğulları, F., Şaylan, L., & Yeşilköy, S. . (2022). Effects of phenological stages, growth and meteorological factor on the albedo of different crop cultivars. Italian Journal of Agrometeorology, (1), 23-40. https://doi.org/10.36253/ijam-1445

Issue

Section

RESEARCH ARTICLES