Effects of El Niño Southern Oscillation on the space-time variability of Agricultural Reference Index for Drought in midlatitudes

Agricultural and Forest Meteorology

Volumn 174-175, Issue , 2013, Pages 110-128

  Gelcer, Eduardo ^a   Fraisse, Clyde ^a   Dzotsi, Kofikuma ^a   Hu, Zhengjun ^a   Mendes, Renan ^a,c   Zotarelli, Lincoln ^b  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

ARID; Drought index; El Ni o; ENSO; Florida; Rio Grande do Sul

Indexed keywords

AGRICULTURAL DEVELOPMENT; AGRICULTURAL MANAGEMENT; CLIMATE VARIATION; DATA ACQUISITION; DROUGHT; ECONOMIC ACTIVITY; EL NINO-SOUTHERN OSCILLATION; EVAPOTRANSPIRATION; FOOD PRODUCTION; SOIL MOISTURE; WATER STRESS; WEATHER FORECASTING;

BRAZIL; FLORIDA [UNITED STATES]; RIO GRANDE DO SUL; UNITED STATES;

EID: 84876321111     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2013.02.006     Document Type: Article

References (82)

1. Alderman, P.D., 2008. Simulating the regrowth dynamics of Tifton 85 bermudagrass as affected by nitrogen fertilization. Master's Thesis University of Florida, Gainesville, FL.
2. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration - guidelines for computing crop water requirements. FAO irrigation and drainage paper No. 56. FAO, Rome.
3. Avila A.M., Berlato M.A., Silva J.B.da, Fontana D.C. Probabilidade de ocorrência de precipitação pluvial mensal igual ou maior do que a evapotranspiração potencial para a estação de crescimento das culturas de primavera-verão no Estado do Rio Grande do Sul. Pesquisa Agropecuária Gaúcha 1996, 2:149-154.
4. Berlato M.A., Fontana D.C. El Niño e La Niña: impactos no clima, na vegetação e na agricultura do Rio Grande do Sul; aplicações de previsões climáticas na agricultura 2003, UFRGS, Porto Alegre.
5. Breuer, N., Cabrera, V., Hildebrand, P.E., Jones, J.W., 2005. Climate-based management options for north central Florida beef cattle producers. Coop. Ext. Serv. Circ., AE289.
6. Bristow K.L., Campbell G.S. On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology 1984, 31:159-166.
7. Burrough P.A., McDonnell R.A. Principles of Geographical Information Systems 1998, Oxford University Press, New York.
8. Cañón J., González J., Valdés J. Precipitation in the Colorado River Basin and its low frequency associations with PDO and ENSO signals. Journal of Hydrology 2007, 333:252-264.
9. Cunha G.R., Barni N.A., Haas J.C., Maluf J.R.T., Matzenauer R., Pasinato A., Pimentel M.B.M., Pires J.L.F. Zoneamento agrícola e época de semeadura para soja no Rio Grande do Sul. Revista Brasileira de Agrometeorologia 2001, 9:446-459.
10. Dagel K. Defining drought in marginal areas: the role of perception. Professional Geographer 1997, 49:192-202.
11. Diggle P.J., Ribeiro P.J. Model-based Geostatistics 2007, Springer, New York.
12. Farooq M., Wahid A., Kobayashi N., Fujita D., Basra S.M.A. Plant drought stress: effects, mechanisms and management. Agronomy for Sustainable Development 2009, 29:185-212.
13. Fedorova N., Carvalho M.H. Processos sinóticos em anos de La Niña e El Niño. Parte II: zonas frontais. Revista Brasileira de Meteorologia 2000, 15:57-72.
14. Fereres E., Goldhamer D.A., Parsons L.R. Irrigation water management of horticultural crops. HortScience 2003, 38:1036-1042.
15. Fontana D.C., Almeida T.S. Climatologia do número de dias com precipitação pluvial no Estado do Rio Grande do Sul. Revista Brasileira de Agrometeorologia 2002, 10:135-145.
16. Fontana D.C., Berlato M.A. Influência do El Niño Oscilação Sul sobre a precipitação pluvial no estado do Rio Grande do Sul. Revista Brasileira de Agrometeorologia 1997, 5:127-132.
17. Fontana D.C., Oliveira D. Relação entre radiação solar global e insolação para o estado do Rio Grande do Sul. Revista Brasileira de Agrometeorologia 1996, 4:87-91.
18. Fraisse, C., Zierden, D., Breuer, N., Jackson, J., Brown, C., 2004. Climate forecast and decision making in agriculture. Coop. Ext. Serv. Circ., AE267.
19. Fraisse C.W., Breuer N.E., Zierden D., Bellow J.G., Paz J., Cabrera V.E., Garcia y Garcia A., Ingram K.T., Hatch U., Hoogenboom G., Jones J.W., O'Brien J.J. AgClimate: a climate forecast information system for agricultural risk management in the southeastern USA. Computers and Electronics in Agriculture 2006, 53:13-27.
20. Fraisse C.W., Sudduth K.A., Kitchen N.R. Calibration of the CERES-Maize model for simulating site-specific crop development and yield on claypan soils. Applied Engineering in Agriculture 2001, 17:547-556.
21. García-Sánchez F., Syvertsen J.P., Gimeno V., Botía P., Perez-Perez J.G. Responses to flooding and drought stress by two citrus rootstock seedlings with different water-use efficiency. Physiologia Plantarum 2007, 130:532-542.
22. Gelcer, E., 2012. Evaluating modeling approaches to estimate bahiagrass (Paspalum notatum) yield affected by climate variability in Florida. Master's Thesis University of Florida, Gainesville, FL.
23. Gelcer E.M., Fraisse C.W., Sentelhas P.C. Evaluation of methodologies to estimate reference evapotranspiration in Florida. Proceedings of the Florida State Horticultural Society FSHS, vol. 123 2010, 189-195.
24. Girola N.F.B., Silva A.P., Imhoff S. Relações entre propriedades físicas e características de solos da região sul do Brasil. Revista Brasileira de Ciência do Solo 2002, 26:885-893.
25. Glaz B., Gilbert R.A. Sugarcane response to water table, periodic flood, and foliar nitrogen on organic soil. Agronomy Journal 2006, 98:616-621.
26. Goovaerts P. Geostatistics for Natural Resources Evaluation 1997, Oxford University Press, Oxford.
27. Grimm A.M., Ferraz S.E.T., Gomes J. Precipitation anomalies in southern Brazil associated with El Niño and La Niña events. Journal of Climate 1998, 11:2863-2880.
28. Henry J.A., Portier K.M., Coyne J. The Climate and Weather of Florida 1994, Pineapple Press, Sarasota, FL.
29. Hildebrand, A.E., 2006. Impact of the ENSO climate phenomenon on Florida fresh tomatoes. Master's Thesis University of Florida, Gainesville, FL.
30. Hodges T., Botner D., Sakamoto C., Hays H.J. Using the CERES-Maize model to estimate production for the U.S. Cornbelt. Agricultural and Forest Meteorology 1987, 40:293-303.
31. Hoogenboom G., Jones J.W., Wilkens P.W., Porter C.H., Batchelor W.D., Hunt L.A., Boote K.J., Singh U., Uryasev O., Bowen W.T., Gijsman A.J., Du Toit A.S., White J.W., Tsuji G.Y. Decision Support System for Agrotechnology Transfer, Version 4. 0 2004, Univ. of Hawaii, Honolulu, HI.
32. Hubbard G.K., Mahmood R., Carlson C. Estimating daily dew point temperature for the northern Great Plains using maximum and minimum temperature. Agronomy Journal 2003, 95:323-328.
33. Hurrell J.W., Kushnir Y., Ottersen G., Visbeck M. An overview of the North Atlantic Oscillation. The North Atlantic Oscillation: Climate Significance and Environmental Impact 2003, 1-35. American Geophysical Union, Washington, DC. J.W. Hurrell, Y. Kushnir, M. Visbeck (Eds.).
34. Jones C.A., Kiniry J.R. CERES-Maize: A Simulation Model of Maize Growth and Development 1986, Texas Agricultural and Mechanical University Press, College Station, TX.
35. Jones J.W., Hoogenboom G., Porter C.H., Boote K.J., Batchelor W.D., Hunt L.A., Wilkens P.W., Singh U., Gijsman A.J., Ritchie J.T. The DSSAT cropping system model. European Journal of Agronomy 2003, 18:235-265.
36. Karnauskas K.B., Ruiz-Barradas A., Nigam S., Busalacchi A.J. North American droughts in ERA-40 global and NCEP North American regional reanalyses: a Palmer Drought Severity Index perspective. Journal of Climate 2008, 21:2102-2123.
37. Lang, T.A., Daroub, S.H., Lentini, R.S., 2008. Water management for Florida sugarcane production. Coop. Ext. Serv. Circ., SC031.
38. Leivas J.F., Berlato M.A., Fontana D.C. Risco de deficiência hídrica decendial na metade sul do Estado do Rio Grande do Sul. Revista Brasileira de Engenharia Agrícola e Ambiental 2006, 10:397-407.
39. Letson D., Hansen J.W., Hildebrand P.E., Jones J.W., O'Brien J.J., Podestá G.P., Royce F.S., Zierden D.F. Florida's agriculture and climatic variability: reducing vulnerability. The Florida Geographer 2001, 32:38-57.
40. Lourens U.W., de Jager J.M. A computerized crop-specific drought monitoring system: design concepts and initial testing. Agricultural Systems 1997, 53:303-315.
41. López-Cedrón F.X., Boote K.J., Ruíz-Nogueira B., Sau F. Testing CERES-Maize versions to estimate maize production in a cool environment. European Journal of Agronomy 2005, 23:89-102.
42. Macedo M.J.H., Guedes R.V.S., Sousa F.A.S., Dantas F.R.C. Análise do índice Padronizado de Precipitação para o estado da Paraíba, Brasil. Ambiente & água 2010, 5:204-2014.
43. Maluf J.R.T., Cunha G.R., Matzenauer R., Pasinato A., Pimentel M.B.M., Caiaffo M.R., Pires J.L.F. Zoneamento de riscos climáticos para a cultura de milho no Rio Grande do Sul. Revista Brasileira de Agrometeorologia 2001, 9:460-467.
44. Marengo J.A. Mudanças climáticas globais e regionais: avaliação do clima atual do Brasil e projeções de cenários climáticos do futuro. Revista Brasileira de Meteorologia 2001, 16:1-18.
45. Marengo J.A., Oliveira G.S. Impactos do fenomeno La Niña no tempo e clima do Brasil: desenvolvimento e intensificação do La Niña 1998/99. X Cong. Bras. Meteorol. SBMET 1998.
46. Mckee T.B., Doesken N.J., Kleist J. The relationship of drought frequency and duration to time scales. Eighth Conference on Applied Climatology 1993, 179-184.
47. Mo K.C., Schemm J.E. Relationships between ENSO and drought over the southeastern United States. Geophysical Research Letters 2008, 35:1-5.
48. Morgan K.T., Obreza T.A. Irrigation management to improve nutrient uptake. Nutrition of Florida Citrus Trees 2008, 96. IFAS, UF, Gainesville, FL. 2nd ed. T.A. Obreza, K.T. Morgan (Eds.).
49. Morgan K.T., Obreza T.A., Hanlon E.A. Citrus water requirements: linking irrigation scheduling and fertilizer strategies. Proceedings of the Florida State Horticultural Society 2007, 120:67-73.
50. Mota F.S., Beirsdorf M.I.C., Acosta M.J.C., Motta W.A., Westphalen S.L. Zoneamento agroclimático do Rio Grande do Sul e Santa Catarina 1974, IPEAS, Pelotas, p. 122.
51. Nery J.T. Anomalías de la precipitación pluvial de São Paulo. Investigaciones Geográficas 2008, 46:179-190.
52. Obreza T.A., Zekri M., Futch S. General soil fertility and citrus tree nutrition. Nutrition of Florida Citrus Trees 2008, IFAS, UF, Gainesville, FL, p. 96. 2nd ed. T.A. Obreza, K.T. Morgan (Eds.).
53. Oliveira G.S., Satyamurty P. O El Niño de 1997/98: evolução e impactos no Brasil. XII Cong. Bras. de Meteorol. SBMET 1998.
54. Oliveira Júnior J.F., Lyra G.B., Góis G., Brito T.T., Moura N.S.H. Análise de homogeneidade de séries pluviométricas para determinação do índice de seca IPP no estado de Alagoas. Floresta e Ambiente 2012, 19:101-112.
55. Oliveira, V., Fialho, W.M.B., Molion, L.C.B., 2011. Influência do ENOS e ODP na precipitação pluvial do estado do Rio Grande do Sul. In: IV Enc. Sul-Bras. Meteorol. Pelotas.
56. Oliver J.E., Hidore J.J. Climatology: An Atmospheric Science 2002, Prentice Hall, New Jersey. 2nd ed.
57. O'Brien J.J., Zierden D.F., Legler L., Hanson J.W., Jones J.W., Smarjstrla A.G., Podestá G.P., Letson D. El Niño, La Niña and Florida's Climate: Effects on Agriculture and Forestry 1999, The Florida Consortium (Florida State University, University of Florida, and Unviversity of Miami).
58. O'Neal M.R., Frankenberger J.R., Ess D.R. Use of CERES-Maize to study effect of spatial precipitation variability on yield. Agricultural Systems 2002, 73:205-225.
59. Pebesma E.J. Multivariable geostatistics in S: the gstat package. Computers & Geosciences 2004, 30:683-691.
60. Piechota T.C., Dracup J.A. Drought and regional hydrologic variation in the United States: associations with the El Niño-Southern Oscillation. Water Resources Research 1996, 32:1359-1373.
61. Priestley C.H.B., Taylor R.J. On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review 1972, 100:81-92.
62. Ropelewski C.F., Halpert M.S. Global and regional scale precipitation patterns associated with the El Niño-Southern Oscillation. Monthly Weather Review 1987, 115:1606-1626.
63. Ropelewski C.F., Halpert M.S. Quantifying Southern oscillation-precipitation relationships. Journal of Climate 1996, 9:1043-1059.
64. Rymph, S.J., 2004. Modeling growth and composition of perennial tropical forage grasses. PhD Diss. University of Florida, Gainesville, FL.
65. Sentelhas P.C. Agricultural drought indices in current use in Brazil. Agricultural Drought Indices: Proceedings of an Expert Meeting 2010, World Meteorological Organization, Murcia. M.V.K. Sivakumar, R.P. Motha, D.A. Wilhite, D.A. Wood (Eds.).
66. Sentelhas P.C., Gillespie T.J., Santos E.A. Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada. Agricultural Water Management 2010, 97:635-644.
67. Sivakumar M.V.K. Agricultural drought-WMO perspectives. Agricultural Drought Indices: Proceedings of an Expert Meeting 2010, World Meteorological Organization, Murcia. M.V.K. Sivakumar, R.P. Motha, D.A. Wilhite, D.A. Wood (Eds.).
68. Sivakumar M.V.K., Das H.P., Brunini O. Impacts of present and future climate variability and change on agriculture and forestry in the arid and semi-arid tropics. Climate Change 2005, 70:31-72.
69. Smajstrla, A.G., Harrison, D.S., Zazueta, F.S., Parsons, L.R., Stone, K.C., 1987. Trickle irrigation scheduling for Florida citrus. Univ. Fla Coop. Ext. Svc. Bull. 208.
70. Song X., Saito G., Kodama M., Sawada H. Early detection system of drought in East Asia using NDVI from NOAA/AVHRR data. International Journal of Remote Sensing 2004, 25:3105-3111.
71. Suleiman A., Hoogenboom G. Comparison of Priestley-Taylor and FAO-56 Penman-Monteith for daily reference evapotranspiration estimation in Georgia. Journal of Irrigation and Drainage Engineering 2007, 133:175-182.
72. Syvertsen, J., Hanlon, E.A., 2011. Citrus tree stresses: effects on growth and yield. Coop. Ext. Serv. Circ., HS393.
73. Trenberth K.E. The definition of El Niño. Bulletin of the American Meteorological Society 1997, 78:2771-2777.
74. University of Florida - Institute of Food Agricultural Sciences, 1985. Characterization data for selected soils. Soil Sci. Res. Rep. No. 85-1.
75. Webster R., Olivier M.A. Geostatistics for Environmental Scientists 2007, John Wiley & Sons, Chichester, UK. 2nd ed.
76. Wilhite D.A. Preparedness and coping strategies for agricultural drought risk management: recent progress and trends. Managing Weather and Climate Risks in Agriculture 2007, 21-38. Springer, Berlin. M.V.K. Sivakumar, R.P. Motha (Eds.).
77. Wilhite D.A., Buchanan-Smith M. Drought as hazard: understanding the natural and social context. Drought and Water Crises: Science, Technology and Management Issues 2005, 3-29. CRC Press, Taylor and Francis Group, New York. A. Wilhite (Ed.).
78. Wilhite D.A., Glantz M.H. Understanding the drought phenomenon: the role of definitions. Water International 1985, 10:111-120.
79. Winsberg M.D. Florida Weather 2003, University Press of Florida, Gainesville, FL. 2nd ed.
80. Woli, P., 2010. Quantifying water deficit and its effects on crop yields using a simple, generic drought index. PhD Diss. Univ. of Florida, Gainesville, FL.
81. Woli P., Jones J.W., Ingram K.T., Fraisse C.W. Agricultural Reference Index for Drought (ARID). Agronomy Journal 2012, 104:287-300.
82. Wolter K., Timlin M.S. Monitoring ENSO in COADS with a seasonally adjusted principal component index. Proceedings of the 17th Climate Diagnostics Workshop 1993, 52-57.