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Classification of Agro-Climatic Zones of the State of Mato Grosso in Brazil

브라질 마토그로소 지역의 농업기후지대 구분

  • Jung, Myung-Pyo (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences) ;
  • Park, Hye-Jin (Division of Atmospheric Environmental Science, College of Natural Sciences, Pusan National University) ;
  • Hur, Jina (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences) ;
  • Shim, Kyo-Moon (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences) ;
  • Kim, Yongseok (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences) ;
  • Kang, Kee-Kyung (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences) ;
  • Ahn, Joong-Bae (Division of Atmospheric Environmental Science, College of Natural Sciences, Pusan National University)
  • 정명표 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 박혜진 (부산대학교 자연과학대학 대기환경과학과) ;
  • 허지나 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 심교문 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 김용석 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 강기경 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 안중배 (부산대학교 자연과학대학 대기환경과학과)
  • Received : 2019.03.06
  • Accepted : 2019.03.22
  • Published : 2019.03.31

Abstract

BACKGROUND: A region can be divided into agroclimatic zones based on homogeneity in weather variables that have greatest influence on crop growth and yield. The agro-climatic zone has been used to identify yield variability and limiting factors for crop growth. This study was conducted to classify agro-climatic zones in the state of Mato Grosso in Brazil for predicting crop productivity and assessing crop suitability etc. METHODS AND RESULTS: For agro-climatic zonation, monthly mean temperature, precipitation, and solar radiation data from Global Modeling and Assimilation Office (GMAO) of National Aeronautics and Space Administration (NASA, USA) between 1980 and 2010 were collected. Altitude and vegetation fraction of Brazil from Weather Research and Forecasting (WRF) were also used to classify them. The criteria of agro-climatic classification were temperature in the hottest month ($30^{\circ}C$), annual precipitation (600 mm and 1000 mm), and altitude (200 m and 500 m). The state of Mato Gross in Brazil was divided into 9 agro-climatic zones according to these criteria by using matrix classification method. CONCLUSION: The results could be useful as information for estimating agro-meteorological characteristics and predicting crop development and crop yield in the state of Mato Grosso in Brazil.

Keywords

References

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