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Analysis of energy and CO2 fluxes during
       the different growth periods of maize
        Environmental Science Project SS 2011
        Wolfram Buß, Renqing Du, Johanna Hemetzberger, Anubhav Mohiley, Aditya Parmar, E. M. Hassan Sarker



   1. Introduction                                                                                                                                                                      4.1 Results and Discussion
Biosphere and atmosphere interactions in terms of
mass and energy transfer have a great relevance in
the change of climatic conditions. The knowledge of                                                                           1

the variation in these fluxes at local scale is important                                                                            2
for the creation of weather and climate simulations.

   2. Objective                                                                                                                                                   3


The main objective of the study was to analyze the
variation of energy and CO2 fluxes during different
                                                                                                                                                     4
growth periods of maize.
                                                                                                                                                                                    Fig. 3: Canopy height and CO2 flux with respect to five growth periods
   3. Material and Methods                                                                                                                   5

 Experiment Site: Maize field (200 x 200m) in the                                                                                                                                    Energy Balance Closure: 86.7% (Fig.2)
                                                                                                                     Fig. 1: Eddy covariance station
  Kraichgau, North-West of Stuttgart from May to                                                                             1 Ultrasonic Anemometer                                  Fig.3 illustrates inverse relationship between
  September 2009                                                                                                             2 CO2 & H2O Infrared
                                                                                                                                                                                       plant biomass production and CO2 flux
                                                                                                                               Spectrometer
 Parameters & Equipment: CO2 flux, Latent,                                                                                  3 Hygrometer & Thermometer                               Assimilation of CO2 exceeds respiration part
  Sensible, Ground fluxes and Net Radiation with                                                                             4 CO2 & H2O gas analyzer
                                                                                                                             5 Data storage and analysis                               during growth stages when plant is
  Eddy Covariance technique (Fig.1)                                                                                                                                                    accumulating biomass in form of LAI and yield
 Data Correction: Software Tool TK2                                                                                                                                                  Respiration dominates again during final
 Energy Balance Closure was performed (Fig.2)                                                                                                                                         stage, as negligible biomass production takes
 Identification of different growth periods for maize                                                                                                                                 place (Suyker et al. 2004)
  using FAO crop water information model                                                                                                                                              Hourly patterns of energy fluxes and BR are
 CO2 and canopy height were related with different                                                                                                                                    characterized in Fig.4 and Fig.5 with respect
  growth periods (Fig.3)                                                                                                                                                               to different growth stages
                                                                                                                                  Energy balance closure 86.7%
 Hourly patterns of energy fluxes were plotted for                                                                                                                                   Hourly patterns give an indication that all
                                                                                                                         RN = H + λE + G
  each growth period                                                                                                     RN: Net radiation
                                                                                                                                                      G
                                                                                                                                                     23.2                              energy fluxes are tagged with the net radiation
 Bowen Ratio (BR) hourly and stage wise                                                                                 H: Sensible heat
                                                                                                                         λE: Latent heat
                                                                                                                                                      %
                                                                                                                                                                                      Raised BR during highest net radiation of day
  calculations were done           ������ ������������������������������������������������ ℎ������������������
                                                                                                                         G: Soil heat
                                                                                                                                                                                       stipulates stomata closure to prevent water
                                                       ������������ =          =
                                                                  ������       ������������������������������������ ℎ������������������                      Fig. 2: Energy balance
                                                                                                                                                                                       losses (Xi et al. 2009)




                                                                                                                      Fig. 4: Energy fluxes for different growth periods of maize
  4.2 Results and Discussion                                                                                                                                                                                                               5. Conclusion
 Energy fluxes and BR variations during different                                                                                                                                                                                   The flux of CO2 between
  growth stages are explained by physiological                                                                                                                                                                                       biosphere and
  changes which take place during different stages                                                                                                                                                                                   atmosphere as well as
 Progressive increase in LAI and assimilates in                                                                                                                                                                                     the partitioning of the net
  form of yield, contribute to a higher latent heat flux                                                                                                                                                                             radiation into different
  during the flowering and yield formation stages                                                                                                                                                                                    energy fluxes depend on
 Higher stomatal conductance is needed for CO2                                                                                                                                                                                      the growth periods of
  fixation which results in latent heat increase                                                                                                                                                                                     maize. C3 and C4 crop
 During the biomass production BR diminishes as                                                                                                                                                                                     fields show lots of
  the latent heat part increase during those stages                                                                                                                                                                                  similarities in their energy
  (Prueger et al. 2004)                                                                                                                                                                                                              partitioning and CO2 flux
 Sudden increase in BR is observed (Fig.5) in the                                                                                                                                                                                   behavior, apart from
                                                                                                                   Fig. 5: Bowen Ratio with respect to growth stages
  final stage as biomass production stops                                                                                                                                                                                            some shifts in response
 However, latent heat is dominating during the                                                                                                                                                                                      due to physiological
  whole vegetation period (Ingwersen et al. 2011)                                                                                                                                                                                    differences.

References
1. J. Ingwersen, K. Steffens, P. Högy, K. Warrach-Sagi, D. Zhunusbayeva, M. Poltoradnev, R. Gäbler, H.-D. Wizemann, A. Fangmeier, V. Wulfmeyer, T. Streck. (2011): Comparison of Noah simulations with eddy covariance and soil water measurements at a winter wheat stand,
   Agricultural and Forest Meteorology 151, 345 –355.
2. X. B. Ji, W. Z. Zhao, E. S. Kang, Z. H. Zhang, B. W. Jin (2010): Carbon dioxide, water vapor, and heat fluxes over agricultural crop field in an arid oasis of Northwest China, as determined by eddy covariance, Envrion Earth Sci, online article on Springer-Verlag.
3. J. H. Prueger, J. L. Hatfield, W. P. Kustas, L. E. Hipps, F. Li, I. Macpherson, M. C. Anderson, T. B. Parkin, W. E. Eichinger, D. I. Cooper (2004): Spatial and temporal variation of water, energy and carbon fluxes from tower and aircraft measurements, AMS Journals Online.
4. A. E. Suyker, S. B. Verma, G. G. Burba, T. J. Arkebauer, D. T. Walters, K. G. Hubbard (2004): Growing season carbon dioxide exchange in irrigated and rainfed maize, Agricultural and Forest Meteorology, 124, 1-13.
5. K. Steffens (2010): Eddy-Covariance- Measurements of Surface Energy, Water and Carbon Dioxide Fluxes between a Winter Wheat Stand and the Atmosphere, Diploma Thesis University of Hohenheim, Institute of Soil Science and Land Evaluation.

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Group 6 final_version

  • 1. Analysis of energy and CO2 fluxes during the different growth periods of maize Environmental Science Project SS 2011 Wolfram Buß, Renqing Du, Johanna Hemetzberger, Anubhav Mohiley, Aditya Parmar, E. M. Hassan Sarker 1. Introduction 4.1 Results and Discussion Biosphere and atmosphere interactions in terms of mass and energy transfer have a great relevance in the change of climatic conditions. The knowledge of 1 the variation in these fluxes at local scale is important 2 for the creation of weather and climate simulations. 2. Objective 3 The main objective of the study was to analyze the variation of energy and CO2 fluxes during different 4 growth periods of maize. Fig. 3: Canopy height and CO2 flux with respect to five growth periods 3. Material and Methods 5  Experiment Site: Maize field (200 x 200m) in the  Energy Balance Closure: 86.7% (Fig.2) Fig. 1: Eddy covariance station Kraichgau, North-West of Stuttgart from May to 1 Ultrasonic Anemometer  Fig.3 illustrates inverse relationship between September 2009 2 CO2 & H2O Infrared plant biomass production and CO2 flux Spectrometer  Parameters & Equipment: CO2 flux, Latent, 3 Hygrometer & Thermometer  Assimilation of CO2 exceeds respiration part Sensible, Ground fluxes and Net Radiation with 4 CO2 & H2O gas analyzer 5 Data storage and analysis during growth stages when plant is Eddy Covariance technique (Fig.1) accumulating biomass in form of LAI and yield  Data Correction: Software Tool TK2  Respiration dominates again during final  Energy Balance Closure was performed (Fig.2) stage, as negligible biomass production takes  Identification of different growth periods for maize place (Suyker et al. 2004) using FAO crop water information model  Hourly patterns of energy fluxes and BR are  CO2 and canopy height were related with different characterized in Fig.4 and Fig.5 with respect growth periods (Fig.3) to different growth stages Energy balance closure 86.7%  Hourly patterns of energy fluxes were plotted for  Hourly patterns give an indication that all RN = H + λE + G each growth period RN: Net radiation G 23.2 energy fluxes are tagged with the net radiation  Bowen Ratio (BR) hourly and stage wise H: Sensible heat λE: Latent heat %  Raised BR during highest net radiation of day calculations were done ������ ������������������������������������������������ ℎ������������������ G: Soil heat stipulates stomata closure to prevent water ������������ = = ������ ������������������������������������ ℎ������������������ Fig. 2: Energy balance losses (Xi et al. 2009) Fig. 4: Energy fluxes for different growth periods of maize 4.2 Results and Discussion 5. Conclusion  Energy fluxes and BR variations during different The flux of CO2 between growth stages are explained by physiological biosphere and changes which take place during different stages atmosphere as well as  Progressive increase in LAI and assimilates in the partitioning of the net form of yield, contribute to a higher latent heat flux radiation into different during the flowering and yield formation stages energy fluxes depend on  Higher stomatal conductance is needed for CO2 the growth periods of fixation which results in latent heat increase maize. C3 and C4 crop  During the biomass production BR diminishes as fields show lots of the latent heat part increase during those stages similarities in their energy (Prueger et al. 2004) partitioning and CO2 flux  Sudden increase in BR is observed (Fig.5) in the behavior, apart from Fig. 5: Bowen Ratio with respect to growth stages final stage as biomass production stops some shifts in response  However, latent heat is dominating during the due to physiological whole vegetation period (Ingwersen et al. 2011) differences. References 1. J. Ingwersen, K. Steffens, P. Högy, K. Warrach-Sagi, D. Zhunusbayeva, M. Poltoradnev, R. Gäbler, H.-D. Wizemann, A. Fangmeier, V. Wulfmeyer, T. Streck. (2011): Comparison of Noah simulations with eddy covariance and soil water measurements at a winter wheat stand, Agricultural and Forest Meteorology 151, 345 –355. 2. X. B. Ji, W. Z. Zhao, E. S. Kang, Z. H. Zhang, B. W. Jin (2010): Carbon dioxide, water vapor, and heat fluxes over agricultural crop field in an arid oasis of Northwest China, as determined by eddy covariance, Envrion Earth Sci, online article on Springer-Verlag. 3. J. H. Prueger, J. L. Hatfield, W. P. Kustas, L. E. Hipps, F. Li, I. Macpherson, M. C. Anderson, T. B. Parkin, W. E. Eichinger, D. I. Cooper (2004): Spatial and temporal variation of water, energy and carbon fluxes from tower and aircraft measurements, AMS Journals Online. 4. A. E. Suyker, S. B. Verma, G. G. Burba, T. J. Arkebauer, D. T. Walters, K. G. Hubbard (2004): Growing season carbon dioxide exchange in irrigated and rainfed maize, Agricultural and Forest Meteorology, 124, 1-13. 5. K. Steffens (2010): Eddy-Covariance- Measurements of Surface Energy, Water and Carbon Dioxide Fluxes between a Winter Wheat Stand and the Atmosphere, Diploma Thesis University of Hohenheim, Institute of Soil Science and Land Evaluation.