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DOI10.1029/2018MS001477
Modeling the Global Sowing and Harvesting Windows of Major Crops Around the Year 2000
Iizumi T.; Kim W.; Nishimori M.
发表日期2019
ISSN19422466
起始页码99
结束页码112
卷号11期号:1
英文摘要The lack of spatially detailed crop calendars is a significant source of uncertainty in modeling, monitoring, and forecasting crop production. In this paper, we present a rule-based model to estimate the sowing and harvesting windows of major crops over the global land area. The model considers field workability due to snow cover and heavy rainfall in addition to crop biological requirements for heat, chilling, and moisture. Using daily weather data for the period 1996–2005 as model input, we derive calendars for maize, rice, winter and spring wheat, and soybeans around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. Separate calendars for rainfed and irrigated conditions and three representative varieties (short-, medium- and long-season varieties) are estimated. The daily probabilities of sowing and harvesting derived using the model well capture the major characteristics of reported calendars. Our modeling reveals that field workability is an important determinant of sowing and harvesting dates and that multicropping patterns influence the calendars of individual crops. The case studies show that the model is capable of capturing multicropping patterns such as triple rice cropping in Bangladesh, double rice cropping in the Philippines, winter wheat-maize rotations in France, and maize-winter wheat-soybean rotations in Brazil. The model outputs are particularly valuable for agricultural and hydrological applications in regions where existing crop calendars are sparse or unreliable. ©2018. The Authors.
英文关键词climatic constraints; crop calendars; field workability; global modeling; multicropping; varietal characteristics
语种英语
scopus关键词Cultivation; Harvesting; Snow; Uncertainty analysis; climatic constraints; field workability; Global modeling; multicropping; varietal characteristics; Crops; agricultural modeling; agrometeorology; climate effect; crop production; crop rotation; double cropping; field method; global perspective; harvesting; mixed farming; sowing; soybean; spatial resolution; wheat; Bangladesh; Glycine max; Triticum aestivum; Zea mays
来源期刊Journal of Advances in Modeling Earth Systems
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156993
作者单位Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
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GB/T 7714
Iizumi T.,Kim W.,Nishimori M.. Modeling the Global Sowing and Harvesting Windows of Major Crops Around the Year 2000[J],2019,11(1).
APA Iizumi T.,Kim W.,&Nishimori M..(2019).Modeling the Global Sowing and Harvesting Windows of Major Crops Around the Year 2000.Journal of Advances in Modeling Earth Systems,11(1).
MLA Iizumi T.,et al."Modeling the Global Sowing and Harvesting Windows of Major Crops Around the Year 2000".Journal of Advances in Modeling Earth Systems 11.1(2019).
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