Implications of regional improvement in global climate models for agricultural impact research

Environmental Research Letters

Volumn 8, Issue 2, 2013, Pages

  Ramirez Villegas, Julian ^a,b,c   Challinor, Andrew J ^b,c   Thornton, Philip K ^a,d   Jarvis, Andy ^a,b  

^a INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE CIAT   (Colombia)

^b CGIAR Research Program on Climate Change   (Denmark)

^c UNIVERSITY OF LEEDS   (United Kingdom)

^d INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE   (Kenya)

Author keywords

adaptation; agriculture; climate change; climate model; skill

Indexed keywords

AGRICULTURE; CLIMATE CHANGE; COMPUTER SIMULATION; ERRORS; FOOD SUPPLY; ISOMERS;

ADAPTATION; AGRICULTURAL PRODUCTIONS; CLIMATE IMPACT ASSESSMENT; COUPLED MODEL INTERCOMPARISON PROJECT; INTERANNUAL CLIMATE VARIABILITY; SEASONAL PRECIPITATIONS; SKILL; TEMPERATURE SIMULATIONS;

CLIMATE MODELS;

ADAPTIVE MANAGEMENT; AGRICULTURAL PRACTICE; ANNUAL VARIATION; CLIMATE MODELING; CLIMATE VARIATION; CLIMATOLOGY; ECOLOGICAL IMPACT; GLOBAL CLIMATE; LITERATURE REVIEW; TECHNOLOGICAL DEVELOPMENT;

EID: 84880859450     PISSN: None     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/8/2/024018     Document Type: Article

References (71)

1. Roudier P, Sultan B, Quirion P and Berg A 2011 The impact of future climate change on West African crop yields: what does the recent literature say? Glob. Environ. Change 21 1073-83
2. Knox J, Hess T, Daccache A and Wheeler T 2012 Climate change impacts on crop productivity in Africa and South Asia Environ. Res. Lett. 7 034032
3. Müller C, Cramer W, Hare W L and Lotze-Campen H 2011 Climate change risks for African agriculture Proc. Natl Acad. Sci. 108 4313-5
4. Lobell D B, Burke M B, Tebaldi C, Mastrandrea M D, Falcon W P and Naylor R L 2008 Prioritizing climate change adaptation needs for food security in 2030 Science 319 607-10
5. Thornton P K, Jones P G, Ericksen P J and Challinor A J 2011 Agriculture and food systems in sub-Saharan Africa in a 4 ° C+ world Phil. Trans. R. Soc. A 369 117-36
6. Jarvis A, Ramirez-Villegas J, Herrera Campo B and Navarro-Racines C 2012 Is Cassava the answer to African climate change adaptation? Trop. Plant Biol. 5 9-29
7. White J W, Hoogenboom G, Kimball B A and Wall G W 2011 Methodologies for simulating impacts of climate change on crop production Field Crops Res. 124 357-68
8. Ramirez-Villegas J and Challinor A 2012 Assessing relevant climate data for agricultural applications Agricult. For. Meteorol. 161 26-45
9. Mearns L 2010 The drama of uncertainty Clim. Change 100 77-85
10. Berg A, Sultan B and de Noblet-Ducoudré N 2010 What are the dominant features of rainfall leading to realistic large-scale crop yield simulations in West Africa? Geophys. Res. Lett. 37 L05405
11. Ines A V M, Hansen J W and Robertson A W 2011 Enhancing the utility of daily GCM rainfall for crop yield prediction Int. J. Climatol. 31 2168-82
12. Lobell D B, Sibley A and Ivan Ortiz-Monasterio J 2012 Extreme heat effects on wheat senescence in India Nature Clim. Change 2 186-9
13. Booth B B B, Dunstone N J, Halloran P R, Andrews T and Bellouin N 2012 Aerosols implicated as a prime driver of twentieth-century North Atlantic climate variability Nature 484 228-32
14. Wang C and Picaut J 2004 Understanding ENSO physics - a review Earth's Climate: The Ocean-Atmosphere Interaction (Washington, DC: AGU) pp 21-48
15. Forster P M, Andrews T, Good P, Gregory J M, Jackson L S and Zelinka M 2013 Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models J. Geophys. Res.: Atmos. 118 1139-50
16. 2, ozone, and global climate change Agricult. Ecosys. Environ. 97 1-20
17. Wilby R L et al 2009 A review of climate risk information for adaptation and development planning Int. J. Climatol. 29 1193-215
18. Frame D J and Stone D A 2013 Assessment of the first consensus prediction on climate change Nature Clim. Change 3 357-9
19. Knutti R and Sedlacek J 2013 Robustness and uncertainties in the new CMIP5 climate model projections Nature Clim. Change 3 369-73
20. Taylor K E, Stouffer R J and Meehl G A 2011 An overview of CMIP5 and the experiment design Bull. Am. Meteorol. Soc. 93 485-98
21. Liu C, Allan R P and Huffman G J 2012 Co-variation of temperature and precipitation in CMIP5 models and satellite observations Geophys. Res. Lett. 39 L13803
22. Sillmann J, Kharin V V, Zhang X, Zwiers F W and Bronaugh D 2013 Climate extremes indices in the CMIP5 multi-model ensemble. Part 1: model evaluation in the present climate J. Geophys. Res.: Atmos. 118 1716-33
23. Jourdain N C, Gupta A S, Taschetto A S, Ummenhofer C C, Moise A F and Ashok K 2013 The Indo-Australian monsoon and its relationship to ENSO and IOD in reanalysis data and the CMIP3/CMIP5 simulations Clim. Dyn. doi:10.1007/s00382- 013-1676-1
24. Ying X U and Chong-Hai X U 2012 Preliminary assessment of simulations of climate changes over China by CMIP5 multi-models Atmos. Ocean. Sci. Lett. 5 489-94
25. Ehret U, Zehe E, Wulfmeyer V, Warrach-Sagi K and Liebert J 2012 Should we apply bias correction to global and regional climate model data? Hydrol. Earth Syst. Sci. Discuss. 9 5355-87
26. Challinor A J, Ewert F, Arnold S, Simelton E and Fraser E 2009 Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation J. Exp. Bot. 60 2775-89
27. Howden S M, Soussana J-F, Tubiello F N, Chhetri N, Dunlop M and Meinke H 2007 Adapting agriculture to climate change Proc. Natl Acad. Sci. 104 19691-6
28. Randall D A et al 2007 Climate models and their evaluation Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change ed S Solomon (Cambridge: Cambridge University Press) pp 273-313
29. New M, Lister D, Hulme M and Makin I 2002 A high-resolution data set of surface climate over global land areas Clim. Res. 21 1-25
30. Hijmans R J, Cameron S E, Parra J L, Jones P G and Jarvis A 2005 Very high resolution interpolated climate surfaces for global land areas Int. J. Climatol. 25 1965-78
31. Uppala S M et al 2005 The ERA-40 re-analysis Q. J. R. Meteorol. Soc. 131 2961-3012
32. Gleckler P J, Taylor K E and Doutriaux C 2008 Performance metrics for climate models J. Geophys. Res. 113 D06104
33. Iizumi T, Nishimori M and Yokozawa M 2009 Diagnostics of climate model biases in summer temperature and warm-season insolation for the simulation of regional paddy rice yield in Japan J. Appl. Meteorol. Climatol. 49 574-91
34. Peterson T C and Vose R S 1997 An overview of the global historical climatology network temperature database Bull. Am. Meteorol. Soc. 78 2837-49
35. FAO 2001 FAOCLIM 2.0 A World-Wide Agroclimatic Database (Rome: FAO)
36. Jones P G and Thornton P K 1999 Fitting a third-order Markov rainfall model to interpolated climate surfaces Agric. For. Meteorol. 97 213-31
37. Challinor A J, Wheeler T R, Slingo J M, Craufurd P Q and Grimes D I F 2005 Simulation of crop yields using ERA-40: limits to skill and nonstationarity in weather-yield relationships J. Appl. Meteorol. 44 516-31
38. Meehl G A et al 2007 THE WCRP CMIP3 multimodel dataset: a new era in climate change research Bull. Am. Meteorol. Soc. 88 1383-94
39. Scherrer S C 2011 Present-day interannual variability of surface climate in CMIP3 models and its relation to future warming Int. J. Climatol. 31 1518-29
40. Watson J and Challinor A 2013 The relative importance of rainfall, temperature and yield data for a regional-scale crop model Agric. For. Meteorol. 170 47-57
41. Themeßl M, Gobiet A and Heinrich G 2012 Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal Clim. Change 112 449-68
42. Mueller N D, Gerber J S, Johnston M, Ray D K, Ramankutty N and Foley J A 2012 Closing yield gaps through nutrient and water management Nature 490 254-7
43. Baigorria G A et al 2010 Forecasting cotton yield in the southeastern United States using coupled global circulation models Agron. J. 102 187-96
44. Ruane A C et al 2013 Climate change impact uncertainties for maize in Panama: farm information, climate projections, and yield sensitivities Agric. For. Meteorol. 170 132-45
45. Osborne T M, Lawrence D M, Challinor A J, Slingo J M and Wheeler T R 2007 Development and assessment of a coupled crop-climate model Glob. Change Biol. 13 169-83
46. Joshi M, Hawkins E, Sutton R, Lowe J and Frame D 2011 Projections of when temperature change will exceed 2 ° C above pre-industrial levels Nature Clim. Change 1 407-12
47. Hawkins E, Fricker T E, Challinor A J, Ferro C A T, Kit Ho C and Osborne T M 2013 Increasing influence of heat stress on French maize yields from the 1960s to the 2030s Glob. Change Biol. 19 937-47
48. Sultan B et al 2013 Assessing climate change impacts on sorghum and millet yields in the Sudanian and Sahelian savannas of West Africa Environ. Res. Lett. 8 014040
49. Hannah L et al 2013 Climate change, wine, and conservation Proc. Natl Acad. Sci. 110 6907-12
50. Stott P, Good P, Jones G, Gillett N and Hawkins E 2013 The upper end of climate model temperature projections is inconsistent with past warming Environ. Res. Lett. 8 014024
51. IPCC 2007 IPCC Fourth Assessment Report: Climate Change 2007 (AR4) (Geneva: IPCC)
52. Hunt L A and Pararajasingham S 1995 CROPSIM-WHEAT: a model describing the growth and development of wheat Can. J. Plant Sci. 75 619-32
53. Asseng S, Foster I A N and Turner N C 2011 The impact of temperature variability on wheat yields Glob. Change Biol. 17 997-1012
54. Tollenaar M, Daynard T B and Hunter R B 1979 Effect of temperature on rate of leaf appearance and flowering date in maize1 Crop Sci. 19 363-6
55. Jones J W et al 2003 The DSSAT cropping system model Eur. J. Agron. 18 235-65
56. Peng S et al 2004 Rice yields decline with higher night temperature from global warming Proc. Natl Acad. Sci. USA 101 9971-5
57. Yin X, Kropff M J and Goudriaan J 1996 Differential effects of day and night temperature on development to flowering in rice Ann. Botany 77 203-13
58. Abiko M et al 2005 High-temperature induction of male sterility during barley (Hordeum vulgare L.) anther development is mediated by transcriptional inhibition Sex. Plant Reprod. 18 91-100
59. Wallwork M A B, Logue S J, MacLeod L C and Jenner C F 1998 Effect of high temperature during grain filling on starch synthesis in the developing barley grain Funct. Plant Biol. 25 173-81
60. Vara Prasad P V, Boote K J and Allen L H Jr 2006 Adverse high temperature effects on pollen viability, seed-set, seed yield and harvest index of grain-sorghum [Sorghum bicolor (L.) Moench] are more severe at elevated carbon dioxide due to higher tissue temperatures Agric. For. Meteorol. 139 237-51
61. Ong C K and Monteith J L 1985 Response of pearl millet to light and temperature Field Crops Res. 11 141-60
62. Al-Khatib K and Paulsen G M 1999 High-temperature effects on photosynthetic processes in temperate and tropical cereals Crop Sci. 39 119-25
63. Vara Prasad P V, Boote K J, Hartwell Allen L and Thomas J M G 2003 Super-optimal temperatures are detrimental to peanut (Arachis hypogaea L.) reproductive processes and yield at both ambient and elevated carbon dioxide Glob. Change Biol. 9 1775-87
64. Challinor A J, Wheeler T R, Craufurd P Q, Slingo J M and Grimes D I F 2004 Design and optimisation of a large-area process-based model for annual crops Agric. For. Meteorol. 124 99-120
65. Boote K J, Allen L H, Vara Prasad P V and Jones J W 2011 Testing effects of climate change in crop models Handbook of Climate Change and Agroecosystems Impacts, Adaptation and Mitigation ed D Hillel and C Rosenzweig (London: Imperial College Press) chapter 6
66. Vara Prasad P V, Boote K J, Allen L H and Thomas J M G 2002 Effects of elevated temperature and carbon dioxide on seed-set and yield of kidney bean (Phaseolus vulgaris L.) Glob. Change Biol. 8 710-21
67. Matthews R B and Hunt L A 1994 GUMCAS: a model describing the growth of cassava (Manihot esculenta L. Crantz) Field Crops Res. 36 69-84
68. El-Sharkawy M 2012 Stress-tolerant cassava: the role of integrative ecophysiology-breeding research in crop improvement Open J. Soil Sci. 2 162-86
69. 2 partial pressure in sweet potato Plant Physiol. 139 979-90
70. Marinus J and Bodlaender K B A 1975 Response of some potato varieties to temperature Potato Res. 18 189-204
71. Streck N A, de Paula F L M, Bisognin D A, Heldwein A B and Dellai J 2007 Simulating the development of field grown potato (Solanum tuberosum L.) Agric. For. Meteorol. 142 1-11