Field Validation of DNDC and SWAP Models for Temperature and Water Content of Loamy and Sandy Loam Spodosols

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The objectives of the research were to: fulfil the preliminary assessment of the sensitivity of the soil, water, atmosphere, and plant and denitrification and decomposition models to variations of climate variables based on the existing soil database; validate the soil, water, atmosphere, and plant and denitrification and decomposition modelled outcomes against measured records for soil temperature and water content. The statistical analyses were conducted by the sensitivity analysis, Nash-Sutcliffe efficiency coefficients and root mean square error using measured and modelled variables during three growing seasons. Results of sensitivity analysis demonstrated that: soil temperatures predicted by the soil, water, atmosphere, and plant model showed a more reliable sensitivity to the variations of input air temperatures; soil water content predicted by the denitrification and decomposition model had a better reliability in the sensitivity to daily precipitation changes. The root mean square errors and Nash-Sutcliffe efficiency coefficients demonstrated that: the soil, water, atmosphere, and plant model had a better efficiency in predicting seasonal dynamics of soil temperatures than the denitrification and decomposition model; and among two studied models, the denitrification and decomposition model showed a better capability in predicting the seasonal dynamics of soil water content.

Aherne J., Futter M.N., and Dillon P.J., 2008. The impacts of future climate change and sulphur emission reductions on acidification recovery at Plastic Lake, Ontario. Hydrol. Earth System Sci., 12, 383-392.

Babu J.Y., Li C., Frolking S., Nayak D.R., and Adhya T.K., 2006. Field validation of DNDC model for methane and nitrous oxide emissions from rice-based production systems of India. Nutrient Cycling Agroecosys., 74, 157-174.

Balashov E., Horak J., Siska B., Buchkina N., Rizhiya E., and Pavlik S., 2010. N2O fluxes from agricultural soils in Slovakia and Russia - direct measurements and prediction using the DNDC model. Folia Oecologica, 37, 8-15.

Bastiaanssen W.G.M., Allen R.G., Droogers P., D'Urso G., and Steduto P., 2007. Twenty-five years modeling irrigated and drained soils: State of the art. Agric. Water Manag., 92, 111-125.

Bastrup-Birk A. and Gundersen P., 2004. Water quality improvements from afforestation in an agricultural catchment in Denmark illustrated with the INCA model. Hydrol. Earth System Sci., 8, 764-777.

Beheydt D., Boeckx P., Sleutel S., Li C., and Van Cleemput O., 2007. Validation ofDNDCfor long-termN2Ofield emission measurements. Atmospheric Environ., 41, 6196-6211.

Buchkina N.P., Balashov E.V., Rizhiya E.Y., and Smith K.A., 2010. Nitrous oxide emission emissions from a lighttextured arable soil of North-Western Russia: effects of crops, fertilizers, manures and climate parameters. Nutrient Cycling Agroecosys., 87, 429-442.

Cai Z., Sawamoto T., Li C., Kang G., Boonjawat J., Mosier A., Wassmann R., and Tsuruta H., 2003. Field validation of the DNDC model for greenhouse gas emissions in East Asian cropping systems. Global Biochem. Cycles, 17, 1107.

De Kimpe C.D. and Warkentin B.P., 1998. Soil functions and the future of natural resources. In: Advances in Geoecology (Eds H.-P. Blume, H. Eger, E. Fleischhauer, A. Hebel, C. Reij, K.G. Steiner). Catena Press, Reiskirchen, Germany.

Droogers P., Bastiaanssen W.G.M., Beyazg¨ul M., Kayam Y., Kite G.W., and Murray-Rust H., 2000. Distributed agrohydrological modeling of an irrigation system in western Turkey. Agric. Water Manag., 43, 183-202.

Droogers P., Immerzeel W.W., and Lorite I.J., 2010. Estimating actual irrigation application by remotely sensed evapotranspiration observations. Agric. Water Manag., 97, 1351-1359.

Eitzinger J., Trnka M.,Hoesch J., Zalud Z., and Dubrovsky M., 2004. Comparison of CERES,WOFOSTandSWAPmodels in simulating soil water content during growing season under different soil conditions. Ecolog. Modelling, 171, 223-246.

Guan X.D., Xuang J.P., Guo N., Bi J.R., and Wang Y.R., 2009. Variability of soil moisture and its relationships with surface albedo and and soil thermal parameters over the Loess Plateu. Advances Atmos. Sci., 26, 692-700.

Hergoualc'hK.,HarmandJ.-M.,Cannavo P., Skiba U., Oliver R., and Henault C., 2009. The utility of process-based models for simulating N2Oemissions from soils:Acase study based on Costa-Rican coffee plantations. Soil Biol. Biochem., 41, 2343-2355.

Jiang J., Feng S., Huo Z., Zhao Z., and Jia B., 2011. Application of the SWAP model to simulate water-salt transport under deficit irrigation with saline water. Math. Comp. Modelling, 54, 902-911.

Kroes J.G., van Dam J.C., Huygen J., and Vervoort R.W., 1999. User's Guide of SWAP version 2.0. Wageningen Agricultural University. Report 81, DLO Winand Staring Centre. Technical Document 5, The Netherlands.

Li C., 2000. Modelling trace gas emissions from agricultural ecosystems. Nutrient Cycling Agroecosys., 58, 259-276.

Li C., Farahbakhshazad N., Jaynes D.B., Dinnes D.L., SalasW., and McLaughlin D., 2006. Modeling nitrate leaching with a biochemical model modified based on observations in a row-crop field in Iowa. Ecolog. Modelling, 196, 116-130.

Li C.,Frolking S., CrockerG.J., GraceP.R., Klir J.,Körschens M., and Poulton P.R., 1997. Simulation trends in soil organic carbon in long-term experiments using the DNDC model. Geoderma, 81, 45-60.

Li C., Frolking S., and Frolking T.A., 1992. A model of nitrous oxide evolution from soil driven by rainfall events: Model structure and sensitivity. J. Geophys. Res., 97, 9759-9776.

Ludwig B., Bergstermann A., Priesack E., and Flessa H., 2011. Modelling of crop yields and N2O emissions from silty arable soils with different tillage in two long-term experiments. Soil Till. Res., 112, 114-121.

Ma Y., Feng S., Huo Z., and Song H., 2011. Application of the SWAP model to simulate the field water cycle under deficit irrigation in Beijing, China. Mathematical Computer Modelling, 54, 1044-1052.

NakagawaY., YanC., Takahiro S.,MiyamotoT., KameyamaK., and Shinogi Y., 2008. Evaluating the validity and sensitivity of the DNDC model for Shimajiri Dark Red Soil. Japan Agric. Res. Quarterly, 42, 163-172.

Nash J.E. and Sutcliffe J.V., 1970. River flow forecasting through conceptuals models. A discussion of principles. J. Hydrol., 10, 282-290.

Rallo G., Agnese C., Minacapilli M., and Provenzano G., 2012. Comparison of SWAP and FAO agro-hydrological models to schedule irrigation of wine grapes. J. Irrigation Drainage Eng., 138, 581-591.

Ritchie J.T., Godwin D.C., and Otter-Nache S., 1988. CERESWheat. A simulation model of wheat growth and development. Texas AM Univ. Press, College Station, TX, USA.

Rizhiya EYa., Boitsova L.V., Buchkina N.P., and Panova G.G., 2011. The influence of crop residues with different C:N ratios on the N2O emission from a loamy sand Soddy- Podzolic soil. Eurasian Soil Sci., 44, 1144-1151.

SmithW.N., GrantB.B.,Rochette P.,DesjardinsR.L.,DruryC.F., and Li C., 2008. Evaluation of two process-based models to estimate N2O emissions in Eastern Canada. Canadian J. Soil Sci., 88, 251-260.

Smits K.M., Sakaki T., Limsuwat A., and Illangasekare T.H., 2009. Thermal conductivity of sands under varying moisture and porosity in drainage-wetting cycles. Vadose Zone J., 9, 1-9. Soil Survey, 1996. Laboratory methods manual, soil survey investigations report No. 42, version 3.0, January 1996. Washington: US Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center, 1996.

TisseuilC., WadeA.J., Tudesque L., and Lek S., 2008. Modeling the stream water nitrate dynamics in a 60 000 km2 European Catchment, the Garonne, Southwest France. J. Environ. Qual., 37, 2155-2169.

Tonitto C., Li C., Seidel R., and Drinkwater L., 2010. Application of theDNDCmodel to the Rodale Institute Farming Systems Trial: challenges for the validation of drainage and nitrate leaching in agroecosystems models. Nutrient Cycling Agroecosys., 87, 283-494.

Usowicz B., 1995. Evaluation of methods for soil thermal conductivity calculations. Int. Agrophysics, 9, 109-113.

Vadjunina A.F. and Korchagina Z.A., 1986. Methods of studies of soil physical properties (in Russian). Agropromizdat, Moscow, Russia.

VanDamJ.C.,Huygen J., Wesseling J.G., FeddesR.A., Kabat P., van Walsum P.E.V., Groenendijk P., and van Diepen C.A., 1997. Theory of SWAP version 2.0, DLO Winand Staring Centre, The Netherlands.

Van Vosselen A., Verplancke H., and van Ranst E., 2005. Assessing water consumption of banana: traditional versus modelling approach. Agric. Water Manag., 74, 201-218.

Zhang Y., Li C., Zhou X., and Moore III B., 2002. A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture. Ecolog. Modelling, 151, 75-108

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