评估2019/20年度NARO-APCC南半球国家联合作物预测服务机构的次国家级产量预测技能

IF 1.4 4区 农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY
Y. Doi, Yonghee Shin, Wonsik Kim, Jaewon Choi, T. Iizumi
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引用次数: 1

摘要

由于气温升高、降水模式变化和一些极端气候事件频率增加,商品作物供应不稳定以及与之相关的粮食价格上涨是最近和日益令人担忧的问题。农业监测和预报可以支持国家粮食机构、国际组织和商业实体更好地应对季节性极端气候引起的预期生产冲击。日本国立农业粮食研究所(NARO)和韩国亚太经济合作组织气候中心(APCC)于2018年共同开发的全球季节性作物预测服务,是针对主要商品作物(玉米、水稻、小麦和大豆)进行农业预测的新兴独特范例。本研究评估了NARO-APCC在南半球五个国家(澳大利亚和乌拉圭的2019/20季节以及阿根廷、巴西和巴拉圭的2018/19季节)的产量预测技能,此前对北半球国家的2019季节进行了评估。结果表明,即使在收获前6个月,NARO-APCC预测也能捕捉到各州报告产量的主要特征,并随作物而变化(一个国家在一个感兴趣的季节内,玉米、水稻和小麦的预测和报告产量之间计算的相关系数通常超过0.8,大豆的相关系数约为0.3)。在这里评估的122种作物状态组合中,有五分之三的预测显示,NARO-APCC预测的预测误差小于仅根据报告产量进行的简单预测。这项研究的发现强调了长期作物预测的新颖性,例如NARO-APCC预测,它提供了种植后的产量预测信息。NARO-APCC预测和现有的区域作物预测共同有助于使从种植到收获的整个季节的客观产量预测信息比目前可用的信息更加无缝地提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the subnational-level yield forecast skills of the 2019/20 season NARO-APCC Joint Crop Forecasting Service for Southern Hemisphere countries
An unstable supply of commodity crops and associated increases in food prices are recent and growing concerns due to increasing temperatures, changing precipitation patterns and increasing frequencies of some extreme climate events. Agricultural monitoring and forecasting can support national food agencies, international organizations and commercial entities in better responding to anticipated production shocks induced by seasonal climate extremes. The global seasonal crop forecasting service jointly developed in 2018 by the National Agriculture and Food Research Organization ( NARO ) , Japan and the Asia-Pacific Economic Cooperation Climate Center ( APCC ) , South Korea is an emerging and unique example of agricultural forecasting tailored to major commodity crops ( maize, rice, wheat and soybean ) . The present study evaluates the skills of the NARO-APCC yield forecasts in five countries located in the Southern Hemisphere ( the 2019/20 season in Australia and Uruguay and the 2018/19 season in Argentina, Brazil and Paraguay ) , following the previous assessment for the 2019 season in Northern Hemisphere countries. The results reveal that the NARO-APCC forecasts can capture the major characteristics of reported state yields even six months before harvesting, with variations by crop ( the correlation coefficients calculated between the forecasted and reported state yields within a country in a season of interest were frequently over 0.8 for maize, rice and wheat and approximately 0.3 for soybean ) . In three-fifths of the 122 crop-state combinations assessed here, the NARO-APCC forecasts showed smaller forecast errors than those of the simple forecasts derived solely based on the reported yields. The findings of this study emphasize the novelty of long-range crop forecasting, such as the NARO-APCC forecasts that provide yield forecast information available even just after planting. Together, the NARO-APCC forecasts and existing regional crop forecasts contribute to making objective yield forecast information more seamlessly available throughout the season from planting to harvesting than what is currently available.
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来源期刊
Journal of Agricultural Meteorology
Journal of Agricultural Meteorology AGRICULTURE, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
2.70
自引率
7.70%
发文量
18
期刊介绍: For over 70 years, the Journal of Agricultural Meteorology has published original papers and review articles on the science of physical and biological processes in natural and managed ecosystems. Published topics include, but are not limited to, weather disasters, local climate, micrometeorology, climate change, soil environment, plant phenology, plant response to environmental change, crop growth and yield prediction, instrumentation, and environmental control across a wide range of managed ecosystems, from open fields to greenhouses and plant factories.
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