Increased uncertainty in simulated maize phenology with more frequent supra-optimal temperature under climate warming

European Journal of Agronomy

Volumn 71, Issue , 2015, Pages 19-33

  Wang, Na ^a   Wang, Jing ^a   Wang, Enli ^b   Yu, Qiang ^c   Shi, Ying ^d   He, Di ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b CSIRO   (Australia)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^d China Meteorological Administration   (China)

Author keywords

Climate change; Maize; Phenology models; Temperature response; Uncertainty

Indexed keywords

AGRICULTURAL MANAGEMENT; CALIBRATION; CLIMATE CHANGE; CROP PRODUCTION; FUTURE PROSPECT; LONG-TERM CHANGE; MAIZE; MODEL VALIDATION; PHENOLOGY; PHYSIOLOGICAL RESPONSE; TEMPERATURE; TEMPERATURE EFFECT; UNCERTAINTY ANALYSIS;

CHINA; NORTH CHINA PLAIN;

ZEA MAYS;

EID: 84940101321     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eja.2015.08.005     Document Type: Article

References (68)

1. Alexandrov V., Eitzinger J., Cajic V., Michael O. Potential impact of climate change on selected agricultural crops in north-eastern Austria. Global Change Biol. 2002, 8:372-389.
2. Asseng S., Ewert F., Rosenzweig C., Jone J.W., Hatfiled J.L., Ruane A.C., Boote K.J., Thorburn P.J., Rotter R.P., Cammarano D., Brisson N., Basso B., Martre P., Aggarwal P.K., Angulo C., Bertuzzi P., Biernath C., Challinor A.J., Doltra J., Gayler S., Goldberg R., Grant R., Heng L., Hooker J., Hunt L.A., Ingwersen J., Izaurralde R.C., Kersebaum K.C., Muller C., Naresh Kumar S., Nedel C., O'Leary G., Olesen J.E., Osborne T.M., Palosuo T., Priessack E., Ripoche D., Semenov M.A., Shcherbck I., Steduto P., Stockle C., Stratonovitch P., Streck T., Supit I., Tao F., Travasso M., Waha K., Wallach D., White J.W., Williams J.R., Wolf J. Uncertainty in simulating wheat yields under climate change. Nat. Clim. Change 2013, 10.1038/NCLIMATE1916.
3. Bassu S., Brisson N., Durand J., Boote K., Lizaso J., Jone J.W., Rosenzweig C., Ruane A.C., Adam M., Baron C., Basso B., Biernath C., Boogaard H., Conijn S., Corbeels M., Deryng D., Sanctis G.D., Gayler S., Grassini P., Hatfield J., Hoek S., Izaurralde C., Jongschaap R., Kemanian A.R., Kersebaum K.C., Kim S.H., Kumar N.S., Makowski D., Muller C., Nendel C., Priesack E., Pravia M.V., Sau F., Shcherbak I., Tao F., Teixeira E., Timlin D., Waha K. How do various maize crop models vary in their responses to climate change factors?. Global Change Biol. 2014, 20:2301-2320.
4. Boons-Prins E.R., de Koning G.H.J., van Diepen C.A., Penning de Vries F.W.T. Crop specific simulation parameters for yield forecasting across the European Community. Simulation Reports CABO-TT, no.32 1993, 20-21.
5. Brown D.M. Heat units for corn in southern Ontario. Ontario Ministry of Agriculture and Food 1969, 4pp. Factsheet Agdex l1/31, Toronto, ON.
6. Calder D.M. Inflorescence induction and initiation in the Gramineae. Grasses and Grasslands 1964, 59-73. MacMillan, London. C. Barnard (Ed.).
7. Carter P.R., Hesterman O.B. Handling corn damaged by autumn frost. National Corn Handbook. NCH-57 1990, (verified 30.07.10). http://www.ces.purdue.edu/extmedia/NCH/NCH-57.html.
8. Challinor A.J., Wheeler T.R. Crop yield reduction in the tropics under climate change: processes and uncertainties. Agric. Forest Meteorol. 2008, 148:343-356.
9. Coligado M.C., Brown D.M. Response of corn (Zea may L.) in the pre-tassel initiation period to temperature and photoperiod. Agric. Meteorol. 1974, 14:357-367.
10. Estrella N., Sparks T.H., Menzel A. Trends and temperature response in the phenology of crops in Germany. Global Change Biol. 2007, 13:1737-1747.
11. FAO, 2012. FAOSTAT-Agriculture Database. Availableat . http://faostat.fao.org/site/339/defaultaspx.
12. Fischer G., Shan M., Tubiello F.N., van Velhuizen H. Socioeconomic and climate change impacts on agriculture: an integrated assessment, 1990-2080. Philos. Trans. R. Soc. B Biol. Sci. 2005, 360:2067-2083.
13. Fredeick J.R., Woolley J.T., Hesketh J.D., Peters D.B. Phenological responses of old and modern soybean cultivars to air temperature and soil moisture treatment. Field Crops Res. 1989, 21:9-18.
14. Gao L., Jin Z., Huang Y., Zhang L. Rice clock model-a computer model to simulate rice development. Agric. Forest Meteorol. 1992, 60:1-16.
15. Gao X., Wang M., Filippo G. Climate change over China in the 21st century as simulated by BCC_CSM1. 1-RegCM4. 0. Atmos. Oceanic Sci. Lett. 2013, 6:381-386.
16. 2 assimilation of leaf canopies. Neth. J. Agric. Sci. 1978, 26:373-382.
17. Hodges T. Temperature and water stress effects on phenology. Prediction Crop Phenology 1991, 7-13. CRC Press, Boca Raton, FL. T. Hodge (Ed.).
18. Hodges T., French V. Soybean: soybean growth stage modeled from temperature, daylength, and water availability. Agron. J. 1985, 77:500-505.
19. Hu Q., Weiss A., Feng S., Baenziger P.S. Earlier winter wheat heading dates and warmer spring in the U. S. Great Plains. Agric. Forest Meteorol. 2005, 135:284-290.
20. Hunter R.B., Hunt L.A., Kannenberg L.W. Photoperiod and temperature effects on corn. Can. J. Plant Sci. 1974, 54:71-78.
21. Hunter R.B., Tollenaar M., Breuer C.M. Effects of photoperiod and temperature on vegetative growth of a maize (Zea may L.) hybrid. Can. J. Plant Sci. 1977, 57:1127-1134.
22. Lin Y., Wu W., Ge Q. CERES-Maize model-based simulation of climate change impacts on maize yields and potential adaptive measures in Heilongjiang Province, China. J. Sci. Food Agric. 2014, 10.1002/jsfa.7024.
23. Jones C.A., Kiniry J.R. CERES-Maize: A Simulation Model of Maize Growth and Development. 1986, 66-75. Texas A&M University Press, College Station, TX.
24. Katharina W., Neil H., Peter C., Wang E. How model and input uncertainty impact maize yield simulations in West Africa. Environ. Res. Lett. 2015, 10:1-11.
25. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Hutha N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Browna S., Bristowc K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., Smithc C.J. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 2003, 18:267-288.
26. Kiniry J.R., Ritchie J.T. Rates of leaf primordial and tip appearance of different maize genotypes in the field. Agronomy Abstracts 73rd annual meeting, American Society of Agronomy 1981, 12.
27. Koning D., Diepen V.C.A. Crop production potential of rural areas within the European community's IV: Potential, water-limited and actual crop production. Working document 68, Netherlands Scientific Council for Government Policy 1992, p83.
28. Kumudini S., Andrade F.H., Boote K.J., Brown G.A., Dzotsi K.A., Edmeades G.O., Gpcken T., Goodwin M., Halter A.L., Hammer G.L., Hatfiled J.L., Jones J.W., Kemanian A.R., Kim S.H., Kiniry J., Lizaso J.I., Nendel C., Nielsen R.L., Parent B., Stockle C.O., Tardieu F., Thomison P.R., Timlin D.J., Vyn T.J., Wallach D., Yang H.S., Tollenaar M. Predicting maize phenology: intercomparison of functions for development response to temperature. Agron. J. 2014, 106:2087-2097.
29. Liu Z., Yang X., Hubbard K., Lin X. Maize potential yields and yield gaps in the changing climate of northeast China. Global Change Biol. 2012, 18:3441-3454.
30. Lobell D.B., Field C.B., Cahill K.N., Celine B. Impacts of future climate change on California perennial crop yields: Model projections with climate and crop uncertainties. Agric. Forest Meteorol. 2006, 141:208-218.
31. Mats H., Stig M.T., Mikhail A.S. Assessing uncertainties in impact of climate change on grass production in Northern Europe using ensembles of global climate models. Agric. Forest Meteorol. 2013, 170:103-113.
32. McCown R.L., Hammer G.L., Hargreaves J.N.G., Holzworth D.P., Freebairn D.M. APSIM: a novel software system for model development, model testing and simulation in agricultural system research. Agric. Syst. 1996, 50:255-271.
33. McMaster G.S., Wilhelm W.W., Morgan J.A. Simulating winter wheat shoot apex phenology. J. Agric. Sci. 1992, 119:1-12.
34. China Agriculture Yearbook 2013, Agricultural Publishing House, Beijing.
35. Place R.E., Brown D.M. Modelling corn yields from soil moisture estimates: description, sensitivity analysis and validation. Agric. Forest Meteorol. 1987, 41:31-56.
36. Ruml M., Vulić T. Importance of phenological observations and predictions in agriculture. J. Agric. Sci. 2005, 50:217-225.
37. Schröder W., Schmidt G., Schönrock S. Modelling and mapping of plant phenological stages as bio-meteorological indicators for climate change. Environ. Sci. Eur. 2014, 26:1-13.
38. Semenov M.A., Wolf J., Evans L.G., Eckersten H., Iglesias A. Comparison of wheat simulation models under climate change. II. Application of climate change scenarios. Clim. Res. 1996, 7(3):271-281.
39. Shaykewich C.F. An appraisal of cereal crop phenology modelling. Can. J. Plant Sci. 1995, 75:329-341.
40. 2. New Phytol. 2007, 176:243-255.
41. Stewart D.W., Dwyer L.M., Carrigan L.L. Phenological temperature response of maize. Agron. J. 1998, 90:73-79.
42. Tao F., Yokozawa M., Xu Y.L., Hayashi Y., Zhang Z. Climate changes and trends in phenology and yields of field crops in China, 1981-2000. Agric. Forest Meteorol. 2006, 138:82-92.
43. Tao F., Yokozawa M., Zhang Z. Modelling the impacts of weather and climate variability on crop productivity over a large area: a new process-based model development, optimization, and uncertainties analysis. Agric. Forest Meteorol. 2009, 149:831-850.
44. Tao F., Zhang Z. Adaptation of maize production to climate change in North China Plain: Quantify the relative contributions of adaptation options. Eur. J. Agron. 2010, 33:103-116.
45. Tao F., Zhang Z., Liu J., Yokozawa M. Modeling the impacts of weather and climate variability on crop productivity over a large area: a new super ensemble-based probabilistic projection. Agric. Forest Meteorol. 2009, 149:1266-1278.
46. Tollenaar M., Daynard T.B., Hunter R.B. Effect of temperature on rate of leaf appearance and flowering date in maize. Crop Sci. 1979, 19:363-366.
47. Trnka M., Dubrovsky M., Semeradova D., Zalud Z. Projections of uncertainties in climate change scenarios into expected winter wheat yields. Theor. Appl. Climatol. 2004, 77:229-249.
48. Uhart S.A., Andrade F.H. Nitrogen defeciency in maize: I. Effects on crop growth, development, dry matter partitioning, and kernel set. Crop Sci. 1995, 35:1376-1383.
49. van Diepen C.A., Wolf J., van Keulen H., Rappoldt C. WOFOST: a simulation model of crop production. Soil Use Manage. 1989, 5:16-24.
50. van Oort P.A.J., Zhang T., de Vries M.E., Heinemann A.B., Meinke H. Correlation between temperature and phenology prediction error in rice (Oryza sativa L.). Agric. Forest Meteorol. 2011, 151:1545-1555.
51. Wang E., Robertson M.J., Hammer G.L., Carberry P.S., Holzworth D., Meinke H., Chapman S.C., Hargreaves J.N.G., Huth N.I., McLean G. Development of a generic crop model template in the cropping system model APSIM. Eur. J. Agron. 2002, 18:121-140.
52. Wang J., Wang E., Feng L., Yin H., Yu W. Phenological trends of winter wheat in response to varietal and temperature changes in the North China Plain. Field Crops Res. 2013, 144:135-144.
53. Wang J., Wang E., Yang X., Zhang F., Yin H. Increased yield potential of wheat-maize cropping system in the North China Plain by climate change adaptation. Clim. Change 2012, 113(3):825-840.
54. Wang J., Wang E., Yin H., Feng L., Zhang J. Declining yield potential and shrinking yield gaps of maize in the North China Plain. Agric. Forest Meteorol. 2014, 195-196:89-101.
55. Wang M., Lin Y., Ye W., Janet F.B., Yan X. Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin Province, China. Clim. Res. 2011, 46:223-242.
56. Warrington I.J., Kanemasu E.T. Corn growth response to temperature and photoperiod. II. Leaf initiation and leaf appearance rates. Agron. J. 1983, 75:755-761.
57. Warrington I.J., Kanemasu E.T. Corn growth response to temperature and photoperiod. III. Leaf numbers. Agron. J. 1983, 75:762-766.
58. Wilby R.L., Troni J., Biot Y., Tedd L., Hewitson B.C., Smith D.M., Sutton R.T. A review of climate risk information for adaptation and development planning. Int. J. Climatol. 2009, 29(9):1193-1215.
59. Wilczek A.M., Burghardt L.T., Cobb A.R., Cooper M.D., Welch S.M., Schmitt J. Genetic and physiological bases for phenological responses to current and predicted climates. Philos. Trans. R. Soc. B Biol. Sci. 2010, 365:3129-3147.
60. Wu D., Yu Q., Wang E., Hengsdijk H. Impacts of spatial-temporal variations of climatic variables on summer maize yield in North China Plain. Int. J. Plant Prod. 2008, 2:1-18.
61. Xiong W., Holman I.P., You L., Yang J., Wu W. Impacts of observed growing-season warming trends since 1980 on crop yield in China. Reg. Environ. Change 2014, 14:7-16.
62. Xiong W., Matthews R., Holman I., Lin E., Xu Y. Modelling China's potential maize production at regional scale under climate change. Clim. Change 2007, 85:433-451.
63. Xiong W., Xu Y., Lin E. The simulation of yield variability of winter wheat and its corresponding adaptation options under climate change. Chin. Agric. Sci. Bull. 2005, 21:380-385. (in Chinese).
64. Yan W.K., Hunt L.A. An equation for modelling the temperature response of plants using only the cardinal temperatures. Ann. Bot. 1999, 84:607-614.
65. Yan W.K., Wallace D.H. Simulation and prediction of plant phenology for five crops based on photoperiod-temperature interaction. Ann. Bot. 1998, 81:705-716.
66. Yin X., Kropff M.J., McLaren G., Visperas R.M. A nonlinear model for crop development as a function of temperature. Agric. Forest Meteorol. 1995, 77:1-16.
67. Zhang S., Tao F. Modeling the response of rice phenology to climate change and variability in different climatic zones: comparisons of five models. Eur. J. Agron. 2013, 45:165-176.
68. Zheng G., Gao L., Xue X. Study on the simulation model for maize phenology. Jiangsu J. Agric. Sci. 2000, 16:15-21.