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Theoretical and Applied Climatology

, Volume 96, Issue 3–4, pp 261–273 | Cite as

Variability of surface characteristics and energy flux patterns of sunn hemp (Crotalaria juncea L.) under well-watered conditions

  • Keiko Takagi
  • Reiji KimuraEmail author
  • Levent Şaylan
Original Paper

Abstract

There is not much information in the literature about the energy partitioning and micrometeorological features of sunn hemp. Therefore, in this study, the variations in the energy-balance components and plant characteristics such as aerodynamic and surface conductance, crop coefficient, albedo, short- and long wave down- and upward radiation have been measured and estimated for the time period from August to October 2004 over an irrigated sand field at the Arid Land Research Center in Tottori, Japan. The Bowen ratio energy-balance method was used to calculate the partitioning of heat fluxes of sunn hemp. The Bowen ratio values at the first growing stages in August were found to be higher than the Bowen ratio values at the latest growing stages in September and October because of the heavy rain and high soil-water content. The daytime averaged Bowen ratio was 0.19. During the measurement period, the daytime average net radiation, and soil, latent and sensible heat fluxes were approximately 231, 28, 164, and 39 W m–2, respectively. The net radiation and soil heat flux showed decreasing trends from the beginning to the end of the experiment period due to the atmospheric and crop growth conditions. The daytime averages of aerodynamic and surface conductance for sunn hemp were around 31 and 17 mm s–1, respectively. Also, the daytime average albedo of sunn hemp was around 19%. Finally, the high precipitation amount due to typhoons, high soil-water content, low available energy and low vapor-pressure deficit lead to decreasing trend of the energy fluxes during the generative phase of sunn hemp.

Keywords

Leaf Area Index Latent Heat Flux Crop Coefficient Bowen Ratio Soil Heat Flux 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We would like to thank all of the technicians working for the Arid Land Research Center of Tottori University, for their help during the measurements.

References

  1. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, FAO, Rome, Italy, 300 ppGoogle Scholar
  2. Baldocchi D, Falge E, GuL, Olson R, Hollinger D, Running S, Anthoni P, Bernhofer Ch, Davis K, Evans R, Fuentes J, Goldstein A, Katul G, Law B, Lee X, Malhi Y, Meyers T, Munger W, Oechel W, Paw U KT, Pilegaard K, Schmid HP, Valantini R, Verma S, Vesala T, Wilson K, Wofsy S (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull Am Meteorol Soc 82:2415–2434CrossRefGoogle Scholar
  3. Beringer B, Chapin FS III, Thompson CC, McGuire AD (2005) Surface energy exchanges along a tundra-forest transition and feedbacks to climate. Agric Forest Meteorol 131:143–161CrossRefGoogle Scholar
  4. Bhardwaj HL, Webber CL, Sakamoto GS (2005) Cultivation of kenaf and sunn hemp in the mid-Atlantic United States. Ind Crops Prod 22:151–155CrossRefGoogle Scholar
  5. Bowen IS (1926) The ratio of heat losses by conduction and by evaporation from any water surface. Phys Rew 27:779–787CrossRefGoogle Scholar
  6. Cook CG, White GA (1996) Crotalaria juncea: a potential multi-purpose fiber crop. In: Janick J (ed) Progress in new crops. ASHS, Alexandria, VA, pp 389–394Google Scholar
  7. Cook CG, Scott AW Jr, Chow P (1998) Planting date and cultivar effects on growth and stalk yield of sunn hemp. Ind Crops Prod 8:89–95CrossRefGoogle Scholar
  8. Dirks BOM, Hensen A (1999) Surface conductance and energy exchange in an intensively managed peat pasture. Clim Res 12:29–37CrossRefGoogle Scholar
  9. Dehghanisanij H, Yamamoto T, Inoue M (2004) Practical aspects of TDR for simultaneous measurements of water and solute in a dune sand field. J Jpn Soc Soil Phys 98:21–30Google Scholar
  10. Dugas WA, Reicosky DC, Kiniry JR (1997) Chamber and micrometeorological measurements of CO2 and H2O fluxes fir three C4 grasses. Agric Forest Meteorol 83:113–133CrossRefGoogle Scholar
  11. Dugas WA, Heuer ML, Mayeux HS (1999) Carbon dioxide fluxes over Bermudagrass, native prairie, and sorghum. Agric Forest Meteorol 93:121–139CrossRefGoogle Scholar
  12. Duke JA (1983) Crotalaria juncea L. Handbook of Energy Crops. Available at http://www.hort.purdue.edu/newcrop/duke_energy/Crotalaria_juncea.html. Cited 30 May 2005
  13. Falge E, Reth S, Brüggemann N, Butterbach-Bahl K, Goldberg V, Oltchev A, Schaaf S, Spindler G, Stiller B, Queck R, Köstner B, Bernhofer C (2005) Comparison of surface energy exchange models with eddy flux data in forest and grassland ecosystems of Germany. Ecol Model 188:174–216CrossRefGoogle Scholar
  14. Gu S, Tang T, Cui X, Kato T, Du M, Li Y, Zhao X (2005) Energy exchange between the atmosphere and a meadow ecosystem on the Qnghai-Tibetan Plateau. Agric Forest Meteorol 129:175–185CrossRefGoogle Scholar
  15. Inman-Bamber NG, McGlinchey MG (2003) Crop coefficients and water-use estimates for sugarcane based on long-term Bowen ratio energy balance measurements. Field Crops Res 83:125–138CrossRefGoogle Scholar
  16. Iziomon MG, Mayer H (2002) On the variability and modeling of surface albedo and long-wave radiation components. Agric Forest Meteor 111:141–152CrossRefGoogle Scholar
  17. Jarvis PG, McNaughton KG (1986) Stomatal control of transpiration: scaling up from leaf to region. Adv Ecol Res 15:1–49CrossRefGoogle Scholar
  18. Jensen ME, Burman RD, Allen RG (1990) Evapotranspiration and irrigation water requirements. Manuals and Reports on Engineering Practice No. 70, ASCE, Washington, DC, 332 ppGoogle Scholar
  19. Kar G, Kumar A (2007) Surface energy fluxes and crop water stress index in groundnut under irrigated ecosystem. Agric Forest Meteorol 146:94–106CrossRefGoogle Scholar
  20. Köstner BMM, Schulze ED, Kelliher FM, Hollinger DY, Beyers JN, Hunt JE, McSeveny TM, Meserth R, Weir PL (1992) Transpiration and canopy conductance in a pristine broad-leaved forest of Nothofagus: an analysis of xylem sap flow and eddy correlation measurements. Oecologia 91:350–359CrossRefGoogle Scholar
  21. Kumagai T, Saitoh TM, Sato Y, Morooka T, Manfroi OJ, Kuraji K, Suzuki M (2004) Transpiration, canopy conductance and decoupling coefficient of lowland mixed dipterocarp forest in Sarawak, Borneo: dry spell effects. J Hydrol 287:237–251CrossRefGoogle Scholar
  22. Malek E, Bingham GE (1997) Partitioning of radiation and energy balance components in an inhomogeneous desert valley. J Arid Environ 37:193–207CrossRefGoogle Scholar
  23. McNaughton KG, Jarvis PG (1983) Predicting effects of vegetation changes on transpiration and evaporation. In: Kozlowski TT (ed) Water deficits and plant growth, vol 7. Academic, New York, pp 1–47Google Scholar
  24. Monteith JL, Unsworth MH (1990) Principles of environmental physics. Arnold, London, 291 ppGoogle Scholar
  25. Ohmura A (1982) Objective criteria for rejecting data for Bowen ratio flux calculations. J Appl Meteorol 21:595–598CrossRefGoogle Scholar
  26. Ortega-Farias SO, Olioso A, Fuentes S, Valdes H (2006) Latent heat flux over a furrow-irrigated tomato crop using Penman–Monteith equation with a variable surface canopy resistance. Agric Water Manage 82:421–432CrossRefGoogle Scholar
  27. Pauwels VRN, Samson R (2006) Comparison of different methods to measure and model actual evapotranspiration rates for a wet sloping grassland. Agric Water Manage 82:1–24CrossRefGoogle Scholar
  28. Peacock CE, Hess TM (2004) Estimating from evapotranspiration from a reed bed using the Bowen ratio energy balance method. Hydrol Process 18:247–260CrossRefGoogle Scholar
  29. Pereira AR (2004) The Priestly-Taylor parameter and the decoupling factor for estimating reference evapotranspiration. Agric Forest Meteorol 125:305–313CrossRefGoogle Scholar
  30. Şaylan L, Bernhofer Ch (1993) Using the Penman-Monteith approach to extrapolate soybean evapotranspiration. Theor Appl Climatol 46:241–246CrossRefGoogle Scholar
  31. Shen Y, Kondoh A, Tang C, Zhang Y, Chen J, Li W, Sakura Y, Liu C, Tanaka T, Shimada J (2002) Measurement and analysis of evapotranspiration and surface conductance of a wheat canopy. Hydrol Process 16:2173–2187CrossRefGoogle Scholar
  32. Shen Y, Zhang Y, Kondoh A, Tang C, Chem J, Xiao J, Sakura Y, Liu C, Sun H (2004) Seasonal variation of energy partitioning in irrigated lands. Hydrol Prosess 18:2223–2234CrossRefGoogle Scholar
  33. Steduto P, Hsiao TC (1998) Maize canopies under two soil water regimes III. Variation in coupling with the atmosphere and the role of leaf area index. Agric Forest Meteorol 89:201–213CrossRefGoogle Scholar
  34. Takagi K (2005) Estimation of evapotranspiration using the ratio of actual evapotranspiration to the potential evaporation. MSci Thesis, Tottori University, Tottori, Japan, 67 ppGoogle Scholar
  35. Todd RW, Evett SR, Howell TA (2000) The Bowen ratio-energy balance method for estimating latent heat flux of irrigated alfalfa evaluated in a semi-arid, advective environment. Agric Forest Meteorol 103:335–348CrossRefGoogle Scholar
  36. Valentini R, Gamon JA, Field CB (1995) Ecosystem gas exchange in a California grassland: seasonal patterns and implications for scaling. Ecology 76:1940–1952CrossRefGoogle Scholar
  37. Wever LA, Flanagan LB, Carlson PJ (2002) Seasonal and interannual variation in evapotranspiration, energy balance and surface conductance in a northern temperate grassland. Agric Forest Meteorol 112:31–49CrossRefGoogle Scholar
  38. Wullschleger SD, Wilson KB, Hanson PJ (2000) Environmental control of whole-plant transpiration, canopy conductance and estimates of the decoupling coefficient for large red maple trees. Agric Forest Meteorol 104:157–168CrossRefGoogle Scholar
  39. Yunusa IAM, Walker RR, Lu P (2004) Evapotranspiration components from energy balance, sapflow and microlysimetry techniques for an irrigated vineyard in inland Australia. Agric Forest Meteorol 127:93–107CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Arid Land Research CenterTottori UniversityTottoriJapan
  2. 2.Department of Meteorology, Faculty of Aeronautics and AstronauticsIstanbul Technical UniversityIstanbulTurkey

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