Applications of EPIC model to assess climate impact on sorghum in southern Italy

Italian Journal of Agronomy

Volumn 7, Issue 1, 2012, Pages 74-85

  Rinaldi, Michele ^a   de Luca, Daria ^a  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

Author keywords

Climate change; Climatic scenarios; Crop cycle duration; GCM; Plant biomass; Sorghum hay; Water use efficiency

Indexed keywords

AGRICULTURAL MODELING; ATMOSPHERIC GENERAL CIRCULATION MODEL; CALIBRATION; CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE MODELING; DATA SET; EVAPOTRANSPIRATION; HAY; MODEL VALIDATION; PHYTOMASS; SORGHUM; SOWING DATE; WATER USE EFFICIENCY; WEATHER FORECASTING;

ITALY;

SORGHUM BICOLOR;

EID: 84859120611     PISSN: 11254718     EISSN: None     Source Type: Journal    
DOI: 10.4081/ija.2012.e12     Document Type: Article

References (56)

1. Ainesweoreth EA, Long SP, 2005. What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytol. 165:351-372.
2. Alcamo J, Swart R, 1998. Future trends of land-use emissions of major greenhouse gases. Mitig. Adapt. Strategies Glob. Chang. 3:343-381.
3. Attri SD, Rathore LS, 2003. Simulation of impact of projected climate change on wheat in India. Int. J. Climatol. 23:693-705.
4. Bernardos JN, Viglizzo EF, Jouvet V, Lertora FA, Pordomingo AJ, Cid FD, 2001. The use of EPIC model to study the agroecological change during 93 years of farming transformation in the Argentine pampas. Agr. Syst. 69:215-234.
5. Brown RA, Rosenberg NJ, 1997. Sensitivity of crop yield and water use to change in a range of climatic factors and CO2, concentrations: a simulation study applying EPIC to the central USA. Agr. Forest Meteorol. 83:171-203.
6. Brown RA, Rosenberg NJ, 1999. Climate change impacts on the potential productivity of corn and winter wheat in their primary United States growing regions. Clim. Change 41:73-07.
7. Ceotto E, Donatelli M, Castelli F, Quaranta F, Rinaldi M, Spallacci P, 1993. Il modello EPIC nella simulazione di sistemi colturali attuati in ambienti italiani: II. Validazione rispetto ai dati produttivi. Agric. Ric. 151/152:209-228.
8. Collins WD, Bitz CM, Blackmon ML, Bonan GB, Bretherton CS, Carton JA, Chang P, Doney SC, Hack JJ, Henderson TB, Kiehl JT, Large WG, Mckenna DS, Santer BD, Smith RD, 2006. The Community Climate System Model Version 3 (CCSM3). J. Climate 19:2122-2143.
9. Dhakhwa GB, Campbell CL, LeDuc SK, Cooter EJ, 1997. Maize growth: assessing the effects of global warming and CO2 fertilization with crop models. Agr. Forest Meteorol. 87:253-272.
10. Downing TE, Harrison PA, Butterfield RE, Lonsdale KG, 2000. Climate change, climatic variability and agricolture in Europe. An integrated assessment. Research Report No. 21. Contract ENV4-CT95-0154, Commission of the European Union, Brussels, Belgium.
11. Easterling WE, Chen XF, Haves C, Brandle JR, Zhang HH, 1996. Improving the validation of model-simulated crop yield response to climate change: an application to the EPIC model. Clim. Res. 6:263-273.
12. Fuhrer J, 2003. Agroecosystem response to combinations of elevated CO2, ozone, and global climate change. Agr. Ecosyst. Environ. 97:1-20.
13. Garofalo P, Vonella AV, Ruggeri S, Rinaldi M, 2011. Water and radiation use efficiencies of irrigated biomass sorghum in a Mediterranean environment. Ital. J. Agron. 6:e21.
14. Gerik TJ, Harman WL, Williams JR, Francis L, Greiner J, Magre M, Meinardus A, Steglich E, 2003. User's Guide: CroPMan (Crop Production and Management) model, version 3.2. Blackland Research and Extension Center, Temple, TX, USA.
15. Guerena A, Ruiz-Ramos M, Diaz-Ambrona CH, Conde JR, Minguez MI, 2001. Assessment of climate change and agriculture in Spain using climate models. Agron. J. 93:237-249.
16. Gordon C, Cooper C, Senior CA, Banks H, Gregory JM, Johns TC, Mitchell JFB, Wood RA, 2000.The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim. Dynam. 16:147-168.
17. Hansen J, Fung I, Lacis A, Rind D, Lebedeff S, Ruedy R, Russell G, Stone P, 1988. Global climate changes as forecast by Goddard Institute for Space Studies three-dimensional model. J. Geophys. Res. 93:9341-9364.
18. Holiday AS, Martindale W, Alred R, Brooks AL, Leegood RC, 1992. Changes in activities of enzymes of carbon metabolism in leaves during exposure of plants to low temperature. Plant Physiol. 98:1105-1114.
19. IPCC, 2007. Summary for Policymakers. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK.
20. Izaurralde RC, Rosenberg NJ, Brown RA, Thomson AM, 2003. Integrated assessment of Hadley Centre (HadCM2) climate change impacts on agricultural productivity and irrigation water supply in the conterminous United States. Part II. Regional agricultural production in 2030 and 2095. Agr. Forest Meteorol. 117:97-122.
21. Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT, 2003. The DSSAT cropping system model. Eur. J. Agron. 18:235-265.
22. Kimball BA, Kobayashi K, Bindi M, 2002. Responses of agricultural crops to free-air CO2 enrichment. Adv. Agron. 77:293-368.
23. Liu J, Williams JR, Zehnder AJB, Yang H- 2007. GEPIC-modelling wheat yield and crop water productivity with high resolution on a global scale. Agr. Syst. 94:478-493.
24. Lobell DB, Field CB, Cahill KN, Bonfils C, 2006. Impacts of future climate change on California perennial crop yields: model projections with climate and crop uncertainties. Agr. Forest Meteorol. 141:208-218.
25. Losavio N, Lamascese N, Vonella AV, 1997. Water requirements and nitrogen fertilization in Jerusalem artichoke (Helianthus tuberosus L.) grown under Mediterranean conditions. Acta Hortic. 449:205-209.
26. Maiti RK, 1996. Sorghum science. Science Publ. Lebanon, NH, USA.
27. Mearns LO, Easterling W, Hays C, Marx D. 2001. Comparison of agricultural impacts of climate change calculated from high and low resolution climate change scenarios. Part I. The uncertainty due to spatial scale. Climatic Change 51:131-172.
28. Niu X, Easterling W, Hays CJ, Jacobs A, Mearns L, 2009. Reliability and input-data induced uncertainty of the EPIC model to estimate climate change impact on sorghum yields in the U.S. Great Plains. Agr. Ecosyst. Environ. 129:268-276.
29. Pizzigalli C, Palatella L, Zampieri M, Lionello P, Miglietta MM, Paradisi P, 2012. Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area. Ital. J. Agron. 7:e2.
30. Priya S, Shibasaki R, 2001. National spatial crop yield simulation using GIS-based crop production model. Ecol. Model. 136:113-129.
31. Rinaldi M, 2001. Application of EPIC model for irrigation scheduling of sunflower in Southern Italy. Agr. Water Manage. 49:185-196.
32. Rinaldi M, D'Andrea L, Ruggieri S, Garofalo P, Moriondo M, Ventrella D, 2009. Influenza dei cambiamenti climatici sulla coltivazione del frumento duro. Atti Convegno Nazionale Società Italiana di Agrometeorologia, 2:32-33.
33. Rinaldi M, Ventrella D, 1997. Uso dei modelli EPIC e CROPSYST in sistemi colturali del Sud Italia. Agricoltura Ricerca 171:47-58.
34. Roeckner E, Bäuml G, Bonaventura L, Brokopf R, Esch M, Giorgetta M, Hagemann S, Kirchner I, Kornblueh L, Manzini E, Rhodin A, Schlese U, Schulzweida U, Tompkins A, 2003. The atmospheric general circulation model ECHAM 5. PART I: Model description. Max-Planck-Inst. for Meteorology Publ., Hamburg, Germany.
35. Rosenberg NJ, McKenney MS, Easterling WE, Lemon KL, 1992. Validation of the EPIC model simulations of crop response to current climate and CO2 conditions: comparisons with census, expert judgment and experimental plot data. Agr. Forest Meteorol. 59:35-51.
36. Rosenberg NJ, Blad BL, Verma SB, 1983. Microclimate: the biological environment. J. Wiley & Sons Ed., New York, NY, USA.
37. SAS, 1987. SAS/Stat User's Guide, Rel. 6.03. SAS Inst. Inc., Cary, NC, USA.
38. Sharpley AN, Williams JR, 1990. EPIC--Erosion/Productivity Impact Calculator: 1. Model Documentation. Technical Bulletin No. 1768, US Dept. of Agriculture Publ. Whasinghton, DC, USA.
39. Stockle CO, Donatelli M, Nelson R, 2003. CropSyst, a cropping systems simulation model. Eur. J. Agron. 18:289-307.
40. Stockle CO, Williams JR, Rosenberg NJ, Jones CA, 1992. Estimation of the effects of CO2 induced climate change on growth and yield of crops. Part I. Modification of the EPIC model for climate change analysis. Agr. Syst. 38:225-238.
41. Taiz L, Zeiger E, 1991. Plant Physiology. Benjamin Cummings Publ., New York, NY, USA.
42. Tan G, Shibasaki R, 2003. Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration. Ecol. Model. 168:357-370.
43. Thomson AM, Izaurralde RC, Rosenberg NJ, He X, 2006. Climate change impacts on agriculture and soil carbon sequestration potential in the Huang-Hai Plain of China. Agr. Ecosyst. Environ. 114:195-209.
44. Thomson AM, Brown RA, Rosenberg NJ, Izaurralde RC, Benson V, 2005. Climate change impacts for the conterminous USA: an integrated assessment. Climatic Change 69:43-65.
45. Tingem M, Rivington M, 2009. Adaptation for crop agriculture to climate change in Cameroon: turning on the heat. Mitig. Adapt. Strategies Glob. Chang. 14:153-168.
46. Tingem M, Rivington M, Azam Ali SN, Colls JJ, 2008. Climate variability and maize production in Cameroon: simulating the effects of extreme dry and wet years. Singapore. J. Trop. Geogr. 29:357-370.
47. Tubiello FN, Ewert F, 2002. Simulating the effects of elevated CO2 on crops: approaches and applications for climate change. Eur. J. Agron. 18:57-74.
48. Tubiello FN, Donatelli M, Rosenzweig C, Stöckle CO, 2000. Effects of climate change and elevated CO2 on cropping systems: model predictions at two Italian locations. Eur. J. Agron. 13:179-189.
49. Ventrella D, Giglio L, Rinaldi M, Lopez R, Moriondo M, 2009. Vulnerabilità e adattamento agronomico ai cambiamenti climaticisui bilanci idrici di alcune coltivazioni nell'italia meridionale. Atti Convegno Nazionale Società Italiana di Agrometeorologia, 2:18-19.
50. van Dam JC, Huygen J, Wesselling JG, Feddes RA, Kabat P, van Walsum PEV, Groenendijk P, van Diepen CA, 1997. Theory of SWAP version 2.0. Report 71, Alterra, Wageningen, The Netherlands.
51. Ventrella D, Rinaldi M, 1999. Comparison between two simulation models to evaluate cropping systems in Southern Italy. Yield response and soil water dynamics. Agricultura Mediterranea 129:99-110.
52. von Caemmerer S, Furbank RT, 2003. The C-4 pathway: an efficient CO2 pump. Photosynth. Res. 77:191-207.
53. Vu JVC, Allen Jr LH, Boote KJ, Bowes G, 1997. Effects of elevated CO2 and temperature on photosynthesis and Rubisco in rice and soybean. Plant Cell Environ. 20:68-76.
54. Williams JR, Jones CA, Kiniry JR, Spanel DA, 1989. The EPIC crop growth model. T. ASAE 32:497-511.
55. Williams JR, Jones CA, Dyke PT, 1984. A modeling approach to determining the relationship between erosion and soil productivity. T. ASAE 27:129-144.
56. Zeng W, Heilman JL, 1997. Sensitivity of evapotranspiration of cotton and sorghum in West Texas to changes in climate and CO2. Theor. Appl. Climatol. 57:245-254