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Exploring the relationships between climatic variables and climate-induced yield of spring maize in Northeast China

机译:东北地区春玉米气候变量与气候诱发单产的关系探讨

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Understanding regional relationships between climate change and crop yield will help with making the strategic decisions for food security in China under climate change. In this study, the contributions of climate change to spring maize yield over the past three decades in Northeast China were decoupled based on the daily climate variables gathered from 68 meteorological stations and detailed observed data of spring maize from 55 agricultural meteorological experimental stations for the period 1978-2010 in Northeast China, analyzed with a linear statistical model. Then, the key climatic factors limiting the climate-induced yield of spring maize were identified. The agro-climatic similarity theory was applied. Finally, the relationships between the climatic variables and the climate-induced yield of spring maize were further explored by provinces. The results show that: from 1978 to 2010, the observed yields of spring maize in Northeast China increased markedly, with inter-annual fluctuations. Compared with the methods of moving average and harmonic average, Logistic regression optimally decoupled the climate-induced yield of spring maize. The key meteorological factors limiting the climate-induced yield were temperature, precipitation and sunshine, varying in the different regions. In Heilongjiang Province, the climate-induced yields of spring maize were mainly affected by maximum temperatures in August and precipitation in June. In Jilin Province, climate-induced yield was closely related to precipitation during daily the average temperature stably passing 10 degrees C (>= 10 degrees C). In Liaoning Province, when the maximum temperature was high and the sunshine was abundant in June, the climate-induced yield of spring maize significantly increased. Finally, the regression models between climatic variables and climate-induced yield of spring maize in 11 representative zones in Northeast China also established geographical differences. (C) 2015 Elsevier B.V. All rights reserved.
机译:了解气候变化与农作物产量之间的区域关系将有助于制定气候变化下中国粮食安全的战略决策。在这项研究中,基于68个气象站的每日气候变量以及该时期55个农业气象试验站的详细玉米观测数据,将东北地区过去三年来气候变化对春季玉米产量的贡献进行了分离。 1978-2010年在中国东北地区,采用线性统计模型进行了分析。然后,确定了限制气候引起的春玉米产量的关键气候因素。应用了农业气候相似性理论。最后,各省进一步探讨了气候变量与气候引起的春玉米产量之间的关系。结果表明:从1978年到2010年,东北地区春玉米的观测产量有明显的年际波动。与移动平均法和谐波平均法相比,Logistic回归将气候诱导的春玉米单产最佳解耦。限制气候导致的单产的主要气象因素是温度,降水和日照,在不同地区有所不同。在黑龙江省,气候引起的春玉米单产主要受到8月最高气温和6月降水的影响。在吉林省,每天平均温度稳定超过10摄氏度(> = 10摄氏度)时,气候诱发的产量与降水密切相关。在辽宁省,6月最高气温高,日照充足时,气候引起的春玉米产量明显增加。最后,中国东北11个代表区气候变量与气候引起的春玉米产量的回归模型也建立了地理差异。 (C)2015 Elsevier B.V.保留所有权利。

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