Prediction of Greenhouse Gases and Global Warming Potential in Agricultural Lands of Khuzestan Province Using DAYCENT Model

Document Type : Research Paper


1 Department of Climatology, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran

2 department of Soil Sciences, , Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Iran


In the current years, increase of greenhouse gas emissions such as methane (CH4), nitrous oxide (N2O) and nitric oxide (NO) from soils to atmosphere is a global concern. Tillage and agricultural lands deveopment have been the main sources of greenhouse gases production. The aim of this study is to determine the rate of greenhouse gas emissions in agricultural lands of Khuzestan province using DAYCENT model. For this purpose, the rate of gas emmission from the soil surface was measured in each agricultural unit. Also, the emmission of methane, nitrous oxide and nitric oxide gases were estimated in agricultural ecosystems of Khuzestan province, using DAYCENT software. The global warming potential was determined for all the study areas. The highest methane emission (1.369 tons/ha) was estimated by DAYCENT model which corresponded to the paddy fields of Baghmalek. Also, the highest emission of nitrous oxide and nitric oxide were corresponded to Shush wheat fields with 0.101 and 0.111 tons per hectare per year, respectively. The maximum global warming potential (66.664 tones equivalent to carbon dioxide) was determined based on DAYCENT data which was corresponded to Shush wheat fields. The results showed a lower gas emissions and heating potential in sugarcane fields as compared to the other cultivars. Also, according to the statistical indicators of determination coefficient (0.98, 0.99 and 0.77), root means square Error (0.05, 0.31and 0.03) and model efficiency (0.61, 0.85 and 0.76), respectively for three gases of nitrous oxide, methane and nitric oxide, DAYCENT model showed an acceptable accuracy.


Main Subjects

Akbarzadeh M. (2013) Methane and its role in global warming. Transplant Science Journal. 2 (2): 37-41. (In Farsi)
Bakht Firooz A., Raeini Sarjaz M. and Ghasemi Sahebi, F. (2010) The effect of drainage systems on methane gas emissions in paddy fields, National Conference on Water Resources Management - Coastal Lands, Sari University of Agricultural Sciences and Natural Resources. (In Farsi)
Bakht Firouz A. and Rainey Sarajaz M. (2014) Effect of paddy field drainage systems on methane greenhouse gas emission reduction. Iranian Soil and Water Research, 44 (1): 1-10. (In Farsi)
Bozarjomhari Kh., Ismaili, S. and Vesal, S. (2013) Investigation of Interaction between Climate (Greenhouse Gas) and Agriculture (Rice Product). First National Conference on Climate Change and Food Security. (In Farsi)
Dashtaki S.G., Homaee M. and Khodaverdiloo H. (2010) Derivation and validation of pedotransfer functions for estimating soil water retention curve using a variety of soil data. Soil Use and Management, 26(1): 68-74
Del Grosso S. J.,   Halvorson A. D. and Parton W. J. (2008) Testing DAYCENT model simulations of corn yields and nitrous oxide emissions in irrigated tillage systems in Colorado. J. Environ. Qual. 37:1383–1389.
Ewert F., Rounsevell M.D.A., Reginster I., Metzger M.G. and Leemans R. (2005) Future scenarios of European agricultural land use. I. Estimating changes in crop productivity. Agricultura Ecosystem Environmental, 107:101–116
Fitton N.,  Bindi M., Brilli L., Chicota R., Dibari C., Fuchs K., Huguenin-Elie O., Klumpp K., Lieffering M., Lüscher A., Martin R., McAuliffe R., Merbold L., Newton P., Rees R. M., Smith P., Topp C.F.E. and Snow V. (2019) Modelling biological N fixation and grass-legume dynamics with process-based biogeochemical models of varying complexity. European Journal of Agronomy,106:58-66.
Gathany M. A. and Burke I.C. (2012). DAYCENT simulations to test the influence of fire regime and fire suppression on trace gas fluxes and nitrogen biogeochemistry of Colorado forests. Forests, 3, 506-527; doi:10.3390/f3030506.
Ghorbani M. and Motallebi M. (2009) The Study on Shadow Price of Greenhouse Gases Emission in Iran: Case of Dairy  Farms. Research Journal of Environmental Sciences, 3: 466-475.(in Farsi)
Hartman  M. D. , Parton W.J. , Del Grosso  S. J., Easter M., Hendryx  J., Hilinski T., Kelly R., Keough C.A., Killian K., Lutz S., Marx E., McKeown R., Ogle S., Ojima D.S., Paustian  K. and Swan A.W.S. (2016) DayCent Ecosystem Model. Colorado State University.
Homaee M., Dirksen C. and Feddes R.( 2002) Simulation of root water uptake: I. Non-uniform transient salinity using different macroscopic reduction functions. Agricultural Water Management, 57(2): 89-109.
Intergovernmental Panel on Climate Change (IPCC). (2001) Climate Change 2001: Impacts, Adaptation, and Vulnerability. Cambridge University Press, Cambridge, UK.
Intergovernmental Panel on Climate Change (IPCC). (2007) Summary for Policymakers, Emissions Scenarios: A Special Report of IPCC working Group3, ISBN: 92-9169-113-5.
Jamalipoor M., Ghorbani M. and Kouchaki, A.R. (2015) Estimation of the value of emissions of greenhouse gases in Iran. Journal of Economics and Agricultural Development, 29 (3): 224-241. (in Farsi)
Jamali Pour M., Ghorbani M., Kouchaki A. and Shahnoshi N. (2016) Estimation of economic cost of greenhouse gas emissions of cereals in Iran. Iranian Beans Research Journal, 7 (2): 59-77.(in Farsi)
Khodaverdiloo H., Homaee M., Van Genuchten M.T. and Dashtaki S.G. (2011) Deriving and validating pedotransfer functions for some calcareous soils. Journal of Hydrology, 399(1): 93-99.
Kochaki A.R. and Kamali A. (2010) Climate change and rainfed wheat production in Iran. Iranian Journal of Agricultural Research. (In Farsi)
Kottegoda N.T. and Rosso R. (2008) Applied statistics for civil and environmental engineers: Wiley-Blackwell
MAJ (Ministry of Agriculture of the IR of Iran). (2014) Planning and Economics Department. Statistics Bank of Iranian Agriculture.
Parhizgari A. and Mozaffari M.M. (2016) Assessing the impacts of greenhouse gas emissions and climate change on the supply and demand of irrigation water and agricultural production in Qazvin Watersheds. Journal of Watershed Management. 7 (14): 141-151. (In Farsi)
Paustian K. (2002) Land- use, land use change and biological carbin sinks: the role of soils in climate change mitigation. Colorado state university, pp: 748-725.
Robertson G.P., Paul E.A. and Harwood R.R. (2000) Greenhouse gases in intensive agriculture: contributions of individual gases to the radiative forcing of the atmosphere. Science. 289: 1922-1935
Sadeghi S. K., Karimi Takanloo, Z., Motafaker Azad, M. A., Pourghorchi H. A. and Andayesh Y. (2015) Social Accounting (SAM). Growth and Development of Rural Economy and Agriculture, 1 (1): 13-30. (In Farsi)
Shakarian M., Yousefi A. and Amini A.M. (2017) The effect of improving energy efficiency on reducing carbon dioxide emissions in cucumber greenhouses. Science and Technology, 8 (3): 13-24. (In Farsi)
Thelen K.D., Fronning B.E., Kravchenko A., Min D.H. and Robertson G.P. (2010) Integrating livestockmanure with a corn–soybean bioenergy cropping system improves short-term carbon sequestration rates and net global warming potential. Biomass Bioenerg. 34: 960-966
Weiler D.A., Tornquist C.G., Zschornack T.,  Ogle S.M.,  Carlos F.S. and  Bayer C. (2018) Daycent simulation of methane emissions, grain yield, and soil organic carbon in a subtropical paddy rice system, Revista Brasileira de Ciencia do Solo. vol.42, ISSN 1806-9657.
Yao Z., Zheng X., Xie B., Mei B., Wang R., Butterbach-Bahl K., Zhu J. and Yin R. (2009) Tillage and crop residue management significantly affects N-trace gas emissionsduring the non-rice season of a subtropical rice-wheat rotation. Soil Biology and Biochemistry. 41: 2131–2140.
Yue Q., Cheng K., Ogle S., Hillier J., Smith P., Abdalla M., Ledo A., Sun J. and Pan G. (2019) Evaluation of four modelling approaches to estimate nitrous oxide emissions in China's cropland, Sci Total Environ. 20(652):1279-1289.
Zalaghi R., Landi A. and Ameri khah H. (2009) Assessment of CO2 and CH4 greenhouse gasses emission from rice and wheat cultivation soils in Ab-Teymor area. Journal of Ecology. 35 (49): 9-16. (In Farsi)
Zalghi R. and Landi, A. (2008) Investigation of CH4, CO2 and CO greenhouse gas emissions from lands under common agricultural uses in Khuzestan province. 2nd Conference and Specialized Exhibition of Environmental Engineering, University of Tehran, 1-6. (In Farsi)