| 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
Sugimoto, Kenji
Lee, Yang-Won
Wu, Wenbin
Chemin, Yann.
Hijmans, Rover J.
Shibasaki, Ryosuke
|
| 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 |
SMS10-101.pdf (496.9 kB)
