Abstract
Recent scientific advancements are improving the ability to predict some major elements of climate variability, in advance of the crop-growing season. In selected regions of the world, climate anomalies are linked to the onset and intensity of a warm or cold event of the El Niño-Southern Oscillation (ENSO) phenomenon. Southeast of South America is within the regions of influence of this phenomenon (Ropelewski and Halpert 1989). Hence seasonal weather and climate fluctuations have significant economical impacts on the agricultural production sector of this region.
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References
Baethgen W (1997) Relaciones entre la temperatura superficial del Pacífico tropical y los rendimientos de cultivos en Uruguay. Workshop and Conference on the 1997–98 El Niño: Impacts and Potential Applications of Climate Prediction in Southeast South America, December 1997, Montevideo, Uruguay
Baethgen W, Giménez A (2002) Seasonal climate forecasts and the agricultural sector of Uruguay (http://iri.columbia.edu/climate/ENSO/societal/resource/example/Baethgen.html)
Hansen J (2000) Summary report of the workshop “Linking Climate Prediction Model Output with Crop Model Requirements”, 28–29 April2000, Palisades, New York (IRI Publication CW/00/2)
Roel A, Plant R (2004) Spatiotemporal analysis of rice yield variability in two California rice fields. Agron J 96:77–90
Ropelewski CF, Halpert MS (1989) Precipitation patterns associated with high index phase of Southern Oscillation. J Climate 2:268–284
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© 2007 Springer-Verlag Berlin Heidelberg
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Roel, A., Baethgen, W.E. (2007). Towards the Development of a Spatial Decision Support System (SDSS) for the Application of Climate Forecasts in Uruguayan Rice Production Sector. In: Sivakumar, M.V.K., Hansen, J. (eds) Climate Prediction and Agriculture. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44650-7_10
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DOI: https://doi.org/10.1007/978-3-540-44650-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44649-1
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