Weather and climate and optimization of farm technologies at different input levels

  • Josef Eitzinger
  • Angel Utset
  • Miroslav Trnka
  • Zdenek Zalud
  • Mikhail Nikolaev
  • Igor Uskov


Weather and climatic conditions are the most important production factors for agriculture. Farmers within any agroecosystem therefore try to adapt to these conditions as much as possible (Adger et al. 2005; Smit and Yunlong 1996). Farm technologies play a major role in this adaptation process in both the short and the long term. Farm technologies are optimized for different purposes such as maximizing food production or profit. There is an urgent need, however, for such aims to be directed to permit sustainability of food production at the local level, which can be based only on stable agroecosystems (Fig.10.1). This has to be the basic strategy
Figure 10.1

The short and long term impact factors on farm management and its relation to resource management and sustainability of agricultural production

for the long term as important resources for agricultural production such as water, land and soil resources are highly limited in our world. Moreover, these resources are also endangered in many regions by desertification and climate change.


Farm Technology Maximize Food Production IBWF CFFO DPNQBSFE XJUI MPOH UFSN 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Abraha MG, Savage MJ (2006) Potential impacts of climate change on the grain yield of maize for the midlands of KwaZulu-Natal, South Africa. Agric Ecosyst Environ 115:150–160CrossRefGoogle Scholar
  2. Adger WN, Arnell NW, Tompkins EL (2005) Successful adaptation to climate change across scales. Glob Environ Chang Part A 15:77–86CrossRefGoogle Scholar
  3. Aggarwal PK, Kalra N, Chander S, Pathak H (2006a) InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impacts of agroecosystems in tropical environments. I. Model description, Agric Syst 86: 1–25.CrossRefGoogle Scholar
  4. Aggarwal PK, Banerjee B, Daryaei MG, Bhatia A, Bala A, Rani S, Chander S, Pathak H, Kalra N (2006b) InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model. Agric Syst 89:47–67CrossRefGoogle Scholar
  5. Alexandrov V, Eitzinger J, Cajic V, Oberforster M (2002) Potential impact of climate change on selected agricultural crops in north-eastern Austria. Glob Chang Biol 8(4):372–389CrossRefGoogle Scholar
  6. ANPC (2003) Gestión integrada del agua en el territorio desde una perspectiva económica. Aragon Nature-Protection Council Research Series 17, 29 pp.Google Scholar
  7. Baethgen WE and Magrin GO (1995) Assessing the impacts of climate change on winter crop production in Uruguay and Argentina using crop simulation models. Climate change and agriculture: analysis of potential international impacts 207–228Google Scholar
  8. Bares I, Dotlacil L, Stehno Z, Faberovà I, Vlasák M (1995) Original and registered cultivars of wheat in Czechoslovakia in the years 1918–1992. Czech Research Institute of Plant Production, Prague, 305 pp.Google Scholar
  9. Bastiaansen WGM, Allen RG, Droogers P, D’Urso G, Steduto P (2004) Inserting man’s irrigation and drainage wisdom into soil water flow models and bringing it back out: How far we progressed?. In Feddes RA, de Rooij GH, Van Dam JC (eds). Unsaturated-zone modelling: Progress, challenges and applications. Kluwer Academic Publishers, Wageningen.Google Scholar
  10. Beaumont LJ, Hughes L, Poulsen M (2005) Predicting species distributions: use of climatic parameters in BIOCLIM and its impacts on prediction of species? current and future distributions. Ecol Model 186: 250–269.CrossRefGoogle Scholar
  11. Beceiro MS (2003) Legal considerations of the 2001 National Hydrological Plan. Water Int. 28(3), 303–312.CrossRefGoogle Scholar
  12. Bryant CR, Smit B, Brklacich M, Johnston TR, Smithers J, Chiotti Q, Singh B (2000) Adaptation in Canadian agriculture to climatic variability and change. Clim Chang 45:181–201CrossRefGoogle Scholar
  13. Burton I, Bo Lim (2005) Achieving adequate adaptation in agriculture. Clim Chang 70: 191–200.CrossRefGoogle Scholar
  14. Cannon RJC (1998) The implications of predicted climate change for insect pests in the UK, with emphasis on non-indigenous species. Glob Chang Biol 4: 785–796.CrossRefGoogle Scholar
  15. Chang CC (2002) The potential impact of climate change on Taiwan’s agriculture. Agric Econ 27:51–64CrossRefGoogle Scholar
  16. Chen C, McCarl BA (2001) An investigation of the relationship between pesticide usage and climate change. Clim Chang 50: 475–487.CrossRefGoogle Scholar
  17. Chmielewski F-M, Henniges Y (2006) Climate change and fruit growing in Germany (KliO) In: Proceedings of the 6th European Conference on Applied Climatology Ljubljana, Slovenia, 4–8 September 2006; Abstract no. EMS2006-A-00091Google Scholar
  18. Chiotti QP and Johnston T (1995) Extending the Boundaries of Climate Change Research: A Discussion on Agriculture. J Rural Stud 11(3):335–350CrossRefGoogle Scholar
  19. Chloupek O, Hrstkova P, Schweigert P (2004) Yield and its stability, crop diversity, adaptability and response to climate change, weather and fertilization over 75 years in the Czech Republic in comparison to some European countries. Field Crop Res 85(2–3):167–190CrossRefGoogle Scholar
  20. Cuculeanu V, Marica A, Simota C (1999) Climate change impact on agricultural crops and adaptation options in Romania. Clim Res 12:153–160CrossRefGoogle Scholar
  21. Curry RB, Peart RM, Jones JW, Boote KJ, Allen Jr LH (1990) Response of crop yield to predicted changes in climate and atmospheric CO2 using simulation. Trans Amer Soc Agric Eng 33(4):1383–1390Google Scholar
  22. Dessai S, Lu X, Risbey JS (2005) On the role of climate scenarios for adaptation planning. Glob Environ Chang 15(2):87–97CrossRefGoogle Scholar
  23. Downing TE, Harrison PA, Butterfield RE, Lonsdale KG (ed) (2000) Climate Change, Climatic Variability and Agriculture in Europe. An Integrated Assessment, Research Report No. 21, Brussels, Belgium: Commission of the European Union, Contract ENV4-CT95-0154, 445 ppGoogle Scholar
  24. Dubrovsky M, Zalud Z, Stastna M (2000) Sensitivity of CERES-Maize yields to statistical structure of daily weather series. Clim Chang 46:447–472CrossRefGoogle Scholar
  25. Easterling WE, Crosson PR, Rosenberg NJ, McKenney MS, Katz LA, Lemon KM (1993) Agricultural impacts of and responses to climate change in the Missouri-Iowa-Nebraska-Kansas (MINK) region. Clim Chang 24:23–61CrossRefGoogle Scholar
  26. Easterling WE (1996) Adapting North American agriculture to climate change in review. Agric For Meteorol 80:1–53CrossRefGoogle Scholar
  27. Easterling WE, Easterling MM, Brandle JR (1997) Modelling the effect of shelterbelts on maize productivity under climate change: An application of the EPIC model. Agric Ecosys Environ 61:163–176CrossRefGoogle Scholar
  28. Easterling., WE, Apps, M. (2005) Assessing the consequences of climate change for food and forest resources: a view from the IPCC. Clim Chang 70:165–189.CrossRefGoogle Scholar
  29. EEA (2005) Vulnerability and adaptation to climate change in Europe. European Environment Agency Technical report No 7/2005. EEA, Copenhagen, 84 pp.Google Scholar
  30. Eitzinger J, Štastná M, Žalud Z, Dubrovský M (2003) A simulation study of the effect of soil water balance and water stress on winter wheat production under different climate change scenarios. Agric Water Manage 61:163–234CrossRefGoogle Scholar
  31. Eitzinger J, Trnka M, Hösch J, Žalud Z, Dubrovský M, (2004) Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecol Model 171:223–246CrossRefGoogle Scholar
  32. Eitzinger, J., Formayer, H., Gruszczynski, G., Schaumberger, A., Trnka, M. (2005) Evaluation of a decision support system for irrigation scheduling and drought management. In: European Meteorological Society: EMS Annual Meeting / ECAM 2005, September 12–16 2005, Utrecht, The Netherlands; CD-ROM, EMS Annual Meeting Abstracts; ISSN 1812-7053Google Scholar
  33. El-Gindy AM, Abdel Maged HN, El-Edi MA, Mohamed ME (2001) Management of Pressurized irrigated Faba Bean in Sandy soils. Misr J Ag Eng 18: 29–44.Google Scholar
  34. Erda L, Wei X, Hui J, Yinlong X, Yue L, Liping B, Liyong X (2005) Climate change impacts on crop yield and quality with CO2 fertilization in China. Philos Trans R Soc Lond B Biol Sci 360(1463):2149–54CrossRefGoogle Scholar
  35. Ewert F, Rodriguez D, Jamieson P, Semenov MA, Mitchell RAC, Goudriaan J, Porter JR, Kimball BA, Pinter PJ, Manderscheid R, Weigel HJ, Fangmeier A, Fereres E, Villalobos F (2002) Effects of elevated CO2 and drought on wheat: testing crop simulation models for different experimental and climatic conditions. Agric Ecosys Environ 93:249–266CrossRefGoogle Scholar
  36. Ewert F, Rounsevell MDA, Reginster I, Metzger MJ, Leemans R (2005) Future scenarios of European agricultural land use I. Estimating changes in crop productivity. Agric Ecosyst Environ 107:101–116CrossRefGoogle Scholar
  37. Farre I (1998) Maize (Zea mays L.) and sorghum (Sorghum bicolor L. Moench) response to deficit irrigation. Agronomy and modelling. PhD. diss. University of Lleida, Spain. 150 pp.Google Scholar
  38. Fereres E (2005) Deficit (supplemental) irrigation. In Proceedings of InterDrought-II Congress, Roma.Google Scholar
  39. Fischbeck G (1999) Bedeutung der Resistenzzüchtung in der integrierten Pflanzenproduktion. Vortr. Pflanzenzüchtg 46, 7–29.Google Scholar
  40. Gbetibouo GA, Hassan RM (2005) Measuring the economic impact of climate change on major South African field crops: a Ricardian approach. Glob Planet Chang 47:143–152CrossRefGoogle Scholar
  41. Giupponi C, Ramanzin M, Sturaro E, Fuser S (2006) Climate and land use changes, biodiversity and agri-environmental measures in the Belluno province, Italy. Environ Sci Pol 9:163–173CrossRefGoogle Scholar
  42. Godwin RJ, Richards TE, Wood GA, Welsh JP, Knight SM (2003) An economic analysis of the potential for precision farming in UK cereal production. Biosyst Eng 84(4):533–545.CrossRefGoogle Scholar
  43. Golte W (1978) Grundwassernutzung bei den Küstenbewohnern des alten peru. Amerikanische Studien, Ed. Hartmann und Oberem, Band 1, p.182–193.Google Scholar
  44. Gray DR (2004) The gypsy moth life stage model: landscape-wide estimates of gypsy moth establishment using a multi-generational phenology model. Ecol Model 176: 155–171.CrossRefGoogle Scholar
  45. Gutierrez AP, Ponsard S (2006) Physiologically based demographics of Bt cotton-pest interactions I. Pink bollworm resistance, refuge and risk. Ecol Model 191: 346–359.CrossRefGoogle Scholar
  46. Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135: 147–186.CrossRefGoogle Scholar
  47. Grünwald NJ, Rubio-Covarrubias OA, Fry WE (2000) Potato late-blight management in the Toluca Valley: forecasts and resistant cultivars. Plant Disease 84: 410–6.CrossRefGoogle Scholar
  48. Hansen JW and Indeje M (2004) Linking dynamic seasonal climate forecasts with crop simulation for maize yield prediction in semi-arid Kenya. Agric For Meteorol 125:143–157CrossRefGoogle Scholar
  49. Hijmans RJ, Forbes GA, Walker TS (2000) Estimating the global severity of potato late blight with GIS-linked disease forecast model. Plant Pathol 49: 697–705.CrossRefGoogle Scholar
  50. Holden NM and Brereton AJ (2002) An assessment of the potential impact of climate change on grass yield in Ireland over the next 100 years. Irish J Agric Food Res 41(2):213–226Google Scholar
  51. Holden NM and Brereton AJ (2006) Adaptation of water and nitrogen management of spring barley and potato as a response to possible climate change in Ireland. Agric Water Manage 82:297–317CrossRefGoogle Scholar
  52. Iglesias A, Erda L, Rosenzweig C (1996) Climate change in Asia: A review of the vulnerability and adaptation of crop production. Water Air Soil Poll 92(1–2):13–27Google Scholar
  53. Ingram KT, Roncoli MC, Kirshen PH (2002) Opportunities and constraints for farmers of west Africa to use seasonal precipitation forecasts with Burkina Faso as a case study. Agric Syst 74:331–349CrossRefGoogle Scholar
  54. Isik M and Devadoss S (2006) An analysis of the impact of climate change on crop yields and yield variability. Appl Econ 38:835–844CrossRefGoogle Scholar
  55. 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 State. Part II. Regional agricultural production in 2030 and 2095. Agric For Meteorol 117:97–122CrossRefGoogle Scholar
  56. Jarvis CH, Baker RHA (2001) Risk assessment of nonindigenous pests: I. Mapping the outputs of phenology models to assess the likelihood of establishment. Divers Dist 7: 223–235.CrossRefGoogle Scholar
  57. Jones PG, Thornton PK (2003) The potential impacts of climate change in maize production in Africa and Latin America in 2055. Glob Environ Chang 13:51–59CrossRefGoogle Scholar
  58. Karing P, Kallis A, Tooming H (1999) Adaptation principles of agriculture to climate change. Clim Res 12:175–183CrossRefGoogle Scholar
  59. Kartschall T, Grossman S, Pinter PJJ, Garcia RL, Kimball BA, Wall GW, Hunsaker DJ, LaMorte RL (1995) A Simulation of Phenology, Growth, Carbon Dioxide Exchange and Yields under Ambient Atmosphere and Free-Air Carbon Dioxide Enrichment (FACE) Maricopa, AZ, for Wheat, J Biogeo 22:611–622CrossRefGoogle Scholar
  60. Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. Europ J Agron 18:267–288CrossRefGoogle Scholar
  61. Logan, D.J., Wolesensky W., Joern, A. (2006) Temperature-dependent phenology and predation in arthropod systems. Ecol Model 196: 471–482.CrossRefGoogle Scholar
  62. Luo Q, Williams MAJ, Bellotti W, Bryan B (2003) Quantitative and visual assessments of climate change impacts on South Australian wheat production. Agric Syst 77(3):173–186CrossRefGoogle Scholar
  63. Mall RK, Lal M, Bhatia VS, Rathore LS, Singh R (2004) Mitigating climate change impact on soybean productivity in India: a simulation study. Agric For Meteorol 121:113–125CrossRefGoogle Scholar
  64. Maracchi G, Sirotenko O, Bindi M (2005) Impacts of present and future climate variability on agriculture and forestry in the temperate regions: Europe. Clim Chang 70(1–2):117–135CrossRefGoogle Scholar
  65. Matthews RB, Kropff MJ, Horie T, Bachelet D (1997) Simulating the impact of climate change on rice production in Asia and evaluating options for adaptation. Agric Syst 54(3):399–425CrossRefGoogle Scholar
  66. Mati BM (2000) The influence of climate change on maize production in the semi-humid-semiarid areas of Kenya. J Arid Environ 46:333–344CrossRefGoogle Scholar
  67. McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (Ed) (2001) Climate change 2001: impacts, adaptation and vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge/New York, 1031 pp.Google Scholar
  68. Meinke H, Stone, R. (2005) Seasonal and inter-annual climate forecasting: The new tool for increasing preparedness to climate variability and change in agricultural planning and operations. Clim Chang 70: 221–253.CrossRefGoogle Scholar
  69. MAPA (2005) Plan Nacional de Regadíos. Ministerio de Agricultura y Pesca. Scholar
  70. Morrison LW, Korzukhin MD, Porter SD (2005) Predicted range expansion of the invasive fire ant, Solenopsis invicta, in eastern United States based on the VEMAP global scenario. Divers Dist 11: 199–204.CrossRefGoogle Scholar
  71. Neira XX, Alvarez CJ, Cuesta TS, Cancela JJ (2005) Evaluation of water-use in traditional irrigation: An application to the Lemos Valley irrigation district, northwest of Spain. Agric Water Manage 75:137–151.CrossRefGoogle Scholar
  72. Norse D, Tschirley JB (2000) Links between science and policy making. Agric Ecosyst Environ 82:15–26.CrossRefGoogle Scholar
  73. Olesen JE and Bindi M (2002) Consequences of climate change for European agricultural productivity, land use and policy. Eur J Agron 16:239–262CrossRefGoogle Scholar
  74. O’Neal MR, Nearing MA, Vining RC, Southworth J, Pfeifer RA (2005) Climate change impacts on soil erosion in Midwest United States with changes in crop management. Catena 61:165–184CrossRefGoogle Scholar
  75. Pal JS, Giorgi F, Bi XQ (2004) Consistency of recent European summer precipitation trends and extremes with future regional climate projections — art. no. L13202. Geophy Res Lett 31:13202–13202CrossRefGoogle Scholar
  76. Parry M (ed) (2000) Assessment of Potential Effects and Adaptations for Climate Change in Europe. The Europe Acacia Project. Jackson Environment Institute, University of East Anglia, Norwich, UK, 320 ppGoogle Scholar
  77. Pedersen SM, Fountas S, Blackmore BS, Gylling M, Pedersen JL (2004) Adoption and perspectives of precision farming in Denmark. Acta Agric. Scand. Section B-Soil and Plant Science 54:2–8CrossRefGoogle Scholar
  78. Perarnaud V, Seguin B, Malezieux E, Deque M, Loustau D (2005) Agrometeorological research and applications needed to prepare agriculture and forestry to 21st century climate change. Clim Chang 70: 319–340.CrossRefGoogle Scholar
  79. Porter JR and Semenov MA (2005) Crop responses to climatic variation. Phil Trans R Soc Lond B Biol Sci 360(1463):2021–35CrossRefGoogle Scholar
  80. Rafoss T, Sæthre M (2003) Spatial and temporal distribution of bioclimatic potential for the Codling moth and the Colorado potato beetle in Norway: model prediction versus climate and field data from 1990s. Agric For Ent 5: 75–85.CrossRefGoogle Scholar
  81. Reilly JM and Schimmelpfennig D (1999) Agricultural Impact Assessment, Vulnerability, and the Scope for Adaptation. Clim Chang 43(4):745–788CrossRefGoogle Scholar
  82. Rojas, O., Rembold, F., Royer, A., Negre, T. (2005) Real-time agrometeorological crop yield monitoring in Eastern Africa. Agron Sust Dev 25(1):63–77.CrossRefGoogle Scholar
  83. Rounsevell MDA, Evans SP, Bullock P (1999) Climate change and agricultural soils: Impacts and adaptation. Clim Chang 43(4):683–709CrossRefGoogle Scholar
  84. Rounsevell MDA, Ewert F, Reginster I, Leemans R, Carter TR (2005) Future scenarios of European agricultural land use: II. Projecting changes in cropland and grassland. Agric Ecosys Environ 107(2–3):177–135Google Scholar
  85. Rosenzweig C, Tubiello FN, Goldberg R, Mills E, Bloomfield J (2002) Increased crop damage in the US from excess precipitation under climate change. Glob Env Chang 12:197–202CrossRefGoogle Scholar
  86. Rosenzweig C, Strzepek KM, Major DC, Iglesias A, Yates DN, McDluskey A, Hillel D (2004) Water resources for agriculture in a changing climate: International case studies. Glob Env Chang 14:345–360CrossRefGoogle Scholar
  87. Salinger MJ, Sivakumar MVK, Motha R (2005) Reducing vulnerability of agriculture and forestry to climate variability and change: Workshop summary and recommendations. Clim Chang 70:341–362.CrossRefGoogle Scholar
  88. Seguin B (2003) Adaptation of agricultural production systems to climatic change. Comptes Rendus — Geosci 335(6–7):569–575CrossRefGoogle Scholar
  89. Semenov MA, Porter JR, Delecolle R (1993) Simulation of the effects of climate change on growth and development of wheat in the U. K. and France. In: EPOCH Project: The Effects of Climate Change on Agricultural and Horticultural Potential in the EC. Final Project Report, University of Oxford-European CommunitiesGoogle Scholar
  90. Semenov MA and Porter JR (1995) Climatic variability and the modelling of crop yields. Agric For Meteorol 73:265–283CrossRefGoogle Scholar
  91. Seneviratne SI, Lüthi D, Litschi M, Schär Ch (2006) Land-atmosphere coupling and climate change in Europe. Nature 443/14:205–209.CrossRefGoogle Scholar
  92. Sip V, Skorpık M, Chrpova J, Sottnikova V, Bartova S (2000) Effect of cultivar and cultural practices on grain yield and bread-making quality of winter wheat. Rostl. Vy’r. 46, 159–167.Google Scholar
  93. Sivakumar MVK, Brunini O, Das HP (2005) Impacts of present and future climate variability on agriculture and forestry in the arid and semi-arid tropics. Clim Chang 70:31–72.CrossRefGoogle Scholar
  94. Smit B and Yunlong C (1996) Climate change and agriculture in China. Glob Env Chang 6:205–214CrossRefGoogle Scholar
  95. Smithers J, Blay-Palmer A (2001) Technology innovation as a strategy for climate adaptation in agriculture. Appl Geogr 21:175–197CrossRefGoogle Scholar
  96. Soja G, Soja A, Eitzinger J, Gruszcynski G, Trnka M, Kubu G, Formayer H, Schneider W, Suppan F, Koukal T (2005) Analyse der Auswirkungen der Trockenheit 2003 in der Landwirtschaft Österreichs — Vergleich verschiedener Methoden. Endbericht von StartClim2004.C; in StartClim2004: Analysen von Hitze und Trockenheit und deren Auswirkungen in Österreich. Endbericht, Auftraggeber: BMLFUW, BMBWK, BMWA, Österreichische Hagelversicherung, Österreichische Nationalbank, Umweltbundesamt, Verbund AHPGoogle Scholar
  97. Southworth J, Randolph JC, Habeck M, Doering OC, Pfeifer RA, Rao DG, Johnston JJ (2000) Consequences of future climate change and changing climate variability on maize yields in the Midwestern United States. Agric Ecosyst Env 82:139–158CrossRefGoogle Scholar
  98. Southworth J, Pfeifer RA, Habeck M, Randoflph JC, Doering OC, Johnston JJ, Rao DG (2002) Changes in soybean yields in the Midwestern United States as a result of future changes in climate, climate variability, and CO2 fertilization. Clim Chang 53:447–475CrossRefGoogle Scholar
  99. Sroller J, Pulkrabek J, Novak D, Famera O (2002) The effect of perennial forage crop on grain yields in submontane regions. Rostl. Vy’r. 48, 154–158.Google Scholar
  100. Stigter CJ (1988) Microclimate Management and Manipulation in Traditional Farming. CagM Report No. 25, WMO/TD-No. 228, World Meteorological Organization, Geneva, p.20, VI Appendices.Google Scholar
  101. Stigter CJ (1994) Management and manipulation of microclimate. In Griffiths, J.F. (ed.), Handbook of Agricultural Meteorology, Oxford University Press, Chapter 27, pp273–284Google Scholar
  102. Stigter CJ, Zheng Dawei, Onyewotu LOZ, Mei Xurong (2005) Using traditional methods and indigenous technologies for coping with climate variability. Clim Chang 70:255–271.CrossRefGoogle Scholar
  103. Tao F, Yokozawa M, Hayashi Y, Lin E (2003) Future climate change, the agricultural water cycle, and agricultural production in China. Agric Ecosyst Environ 95(1):203–215CrossRefGoogle Scholar
  104. Trnka M, Dubrovsky M, Žalud Z (2004) Climate change impacts and adaptation strategies in spring barley production in the Czech Republic. Clim Chang 64:227–255CrossRefGoogle Scholar
  105. Trnka M, Eitzinger J, Gruszczynksi G, Burchgraber K, Resch R, Schaumberger A (2006) A simple statistical model for predicting herbage production from permanent grassland. Grass For Sci 61, 253–271.CrossRefGoogle Scholar
  106. Trnka M., Muška F., Semerádová D., Dubrovský M., Kocmánková E., Žalud Z. (2007): European Corn Borer Life Stage Model: Regional Estimates of Pest Development and Spatial Distribution under Present and Expected Climate. Ecological modeling, doi:10.1016/j.ecolmodel.2007.04.014Google Scholar
  107. Tubiello FN, Donatelli M, Rosenzweig C, Stockle CO (2000) Effects of climate change and elevated CO2 on cropping systems: model predictions at two Italian locations. Europ J Agron 13:179–189CrossRefGoogle Scholar
  108. Utset A, Farre I, Martínez-Cob A, Cavero J (2004) Comparing Penman-Monteith and Priestley-Taylor approaches as reference-evapotranspiration inputs for modelling maize water-use under Mediterranean conditions. Agric Water Manag 66:205–219.CrossRefGoogle Scholar
  109. Utset A (2005) Introducing tools for agricultural decision-making under climate change conditions by connecting users and tool-providers (AGRIDEMA). Commission of the European Communities. Research Directorate General. EC contract No 003944 (GOCE).Google Scholar
  110. Utset A, Martínez-Cob A, Farré I, Cavero J (2006a) Simulating the effects of extreme dry and wet years on the water use of flooding-irrigated maize in a Mediterranean landplane. Agric. Water Manag. 85:77–84.CrossRefGoogle Scholar
  111. Utset A, Del Río B, Martínez JC, Martínez D, Provedo R, Martín JC (2006b) El plan de experimentación agraria desarrollado por ITACyL y los regantes de Castilla y León. Tierras del Norte de Castilla. (in press).Google Scholar
  112. Vogl Ch R (1990) Traditionelle Andine Agrartechnologie. Diplomarbeit, Universität für Bodenkultur, Wien.Google Scholar
  113. Vrkoc F (1992) Contribution of some factors to the development of crop production in the CSFR. Sci. Agric. Bohemoslovaca 24(2), 125–131.Google Scholar
  114. Wessolek G and Asseng S (2006) Trade-off between wheat yield and drainage under current and climate change conditions in northeast Germany. Europ J Agron 24:333–342Google Scholar
  115. Wolf J, van Oijen M, Kempenaar C (2002) Analysis of the experimental variability in wheat responses to elevated CO2 and temperature. Agric Ecosyst Environ 93:227–247CrossRefGoogle Scholar
  116. Yeo A (1999) Predicting the interaction between the effects of salinity and climate change on crop plants. Sci Hort 78:159–174CrossRefGoogle Scholar
  117. You SC (2001) Agricultural adaptation of climate change in China. J Environ Sci (China) 13:192–197Google Scholar
  118. Zalud Z, Dubrovsky M (2002) Modelling climate change impacts on maize growth and development in the Czech Republic. Theor Appl Climatol 72:85–102CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Josef Eitzinger
    • 1
  • Angel Utset
    • 2
  • Miroslav Trnka
    • 3
  • Zdenek Zalud
    • 3
  • Mikhail Nikolaev
    • 4
  • Igor Uskov
    • 4
  1. 1.Institute of MeteorologyUniv. of Natural Resources and Applied Life Sciences (BOKU)WienAustria
  2. 2.Instituto Tecnologico Agrario de Castilla y Leon (ITACYL)ValladolidSpain
  3. 3.Institute of Agriculture Systems and BioclimatologyMendel University of Agriculture and ForestryBrnoCzech Republic
  4. 4.Agrophysical Research Institute (ARI)St. PetersburgRussia

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