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  1. SSMSパブリケーション
  2. Vol.06

Precipitation And Its Impacts For Global Scale Rice Production

http://hdl.handle.net/10173/1797
http://hdl.handle.net/10173/1797
26bb8317-537e-4ab8-ae16-29bb116b0e89
名前 / ファイル ライセンス アクション
SMS10-101.pdf SMS10-101.pdf (496.9 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2018-02-06
タイトル
タイトル Precipitation And Its Impacts For Global Scale Rice Production
言語
言語 eng
キーワード
主題Scheme Other
主題 Yield
キーワード
主題Scheme Other
主題 Cropping Calendar
キーワード
主題Scheme Other
主題 Precipitation
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 Matsumura, Kan-Ichiro

× Matsumura, Kan-Ichiro

Matsumura, Kan-Ichiro

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Sugimoto, Kenji

× Sugimoto, Kenji

Sugimoto, Kenji

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Lee, Yang-Won

× Lee, Yang-Won

Lee, Yang-Won

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Wu, Wenbin

× Wu, Wenbin

Wu, Wenbin

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Chemin, Yann.

× Chemin, Yann.

Chemin, Yann.

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Hijmans, Rover J.

× Hijmans, Rover J.

Hijmans, Rover J.

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Shibasaki, Ryosuke

× Shibasaki, Ryosuke

Shibasaki, Ryosuke

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抄録
内容記述タイプ Abstract
内容記述 Rice plays a major role in the global supply and demand for sustainable food production. Rice production has consistently outpaced population growth. Thus, rice plays a crucial role in supporting continued global population growth. The progress of technology, irrigation and rice varieties made it possible for farmers to produce more rice with tolerance for climate change. In 1992, because of abnormal climatic conditions, the yield of rice in Japan fell to less than 90% that of annual average production, where the technology for agriculture is thought to be well developed. At that time, Japan had to import rice. Thus the impact of climate change cannot be ignored. When discussing yield of rice, the impact of climatic conditions should be discussed. In this study, we focused on the relationships between yield of rice and precipitation datasets. Monthly precipitation datasets are provided from Global Precipitation Climatology Centre in Germany (hereafter we called “GPCC”). The resolution of GPCC is 0.5 degree and from west to east, numbers of columns are 720 and from north to south, numbers of rows are 360 and covers from January 1900 to December 2007. Datasets from January 1981 to December 2003 are used to calculate the country based relationships in this study. The Cropping Calendar dataset includes spatial information and provides five patterns such as Planting, Vegetative, Heading, Filling and Harvesting. The resolution of the cropping calendar is almost the same that of GPCC. According to the cropping calendar, the lifecycle of rice which includes five patterns in each country is obtained. Single regression analysis is used to calculate the relationships among time series of monthly precipitation datasets and yield of rice. In another words, yield of rice is a function of GPCC. Due to data limitations and variety of resolutions of datasets, we could only use country based datasets to obtain the equations. The country based rice production per unit area in each country is calculated by dividing the rice production figures provided by the Food and Agriculture Organization (FAO) by the rice cultivation area.
書誌情報 Society for Social Management Systems Internet Journal

巻 6, 号 1, 発行日 2010-03
ISSN
収録物識別子タイプ ISSN
収録物識別子 2432-552X
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
出版者
出版者 Society for Social Management Systems
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