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Analysis of meteorological drought episodes in Paraguay

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  • Julián Benitez
  • Roger Domecq

Abstract

This paper analyzes the meteorological drought events in Paraguay in the period of 1964 to 2011, using the Standardized Precipitation Index (SPI). The objective is to determine if the frequency and/or severity of droughts has increased or decreased in the last years, in response of climate change. They The southernmost parts of the country are affected by severe droughts producing damage to soybean and corn crop during the rainy season (October–March) especially during the summer of 2008–2009. The years of 1967, 1968, 1978, 1979, 2000 and 2008 was identified as severe to extreme drought events and coincides with La Niña event. However, the relationship between all drought events, especially those agricultural droughts and La Niña is not clear, suggesting the necessity of new research, focusing on new drivers to explain the cause of the droughts. The economy of Paraguay, based for good part on agriculture, is clearly vulnerable to droughts. Even though no undeniable increasing trend in drought frequency/severity was detected, contingency plans to diminish drought impacts ought to be elaborated. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Julián Benitez & Roger Domecq, 2014. "Analysis of meteorological drought episodes in Paraguay," Climatic Change, Springer, vol. 127(1), pages 15-25, November.
    • Handle: RePEc:spr:climat:v:127:y:2014:i:1:p:15-25
    DOI: 10.1007/s10584-014-1260-7
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    References listed on IDEAS

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    1. Podesta, Guillermo & Letson, David & Messina, Carlos & Royce, Fred & Ferreyra, R. Andres & Jones, James & Hansen, James & Llovet, Ignacio & Grondona, Martin & O'Brien, James J., 2002. "Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience," Agricultural Systems, Elsevier, vol. 74(3), pages 371-392, December.
    2. Masuda, Tadayoshi & Goldsmith, Peter D., 2009. "World Soybean Production: Area Harvested, Yield, and Long-Term Projections," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 12(4), pages 1-20, November.
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    Cited by:

    1. Jie Yang & Yimin Wang & Jianxia Chang & Jun Yao & Qiang Huang, 2016. "Integrated assessment for hydrometeorological drought based on Markov chain model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1137-1160, November.
    2. Gregorio Alejandro López Moreira M. & Luigi Hinegk & Andrea Salvadore & Guido Zolezzi & Franz Hölker & Roger Arturo Monte Domecq S. & Martina Bocci & Sebastiano Carrer & Luca De Nat & Juan Escribá & C, 2018. "Eutrophication, Research and Management History of the Shallow Ypacaraí Lake (Paraguay)," Sustainability, MDPI, vol. 10(7), pages 1-32, July.
    3. Xianxian Leng & Xiaogang Liu & Yanli Gao & Yujie Liu & Qiliang Yang & Guangzhao Sun & Youliang Peng & Yifeng Huang, 2020. "Drought assessment of southwestern China based on HadGEM2-ES model under representative concentration pathway 4.5 scenario," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(1), pages 307-334, May.

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