基于DSSAT作物模型的印度中西部气候变化情景下小麦产量多年预测

L. Amgain, Devid Dhakal, Laxmi Bhandari
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摘要

德莱中西部地区是尼泊尔主要的小麦产区之一;然而,在过去三十年中,其产量受到气候异常的极大影响,如温度波动、太阳辐射减少和降雨。有目的地选择了过去32-33年(1984/85 - 2017/18)的NASA-POWER导出的Terai中部Kapilbastu(27.55°N, 83.667°E)地区Taulihawa的天气数据,并下载了DHM水文和气象部(DHM)记录的天气数据(1985/86、1995/96、2005/06和2015/16)并进行了验证。利用最高、最低气温和降雨量的历史数据,绘制了Kapilvastu地区小麦产量的趋势分析。籽粒产量与最低气温、降雨量呈显著正相关(R2)。种植系统模型-作物环境资源综合(CSM-CERES)-小麦模型嵌入在农业技术转让决策支持系统(DSSAT) 4.7版中,利用历史记录和模拟气候情景对小麦产量进行多年预测。模型模拟的结果与尼泊尔农业和畜牧业发展部(MoALD)记录的观测到的小麦产量非常吻合。最低气温与小麦产量的相关系数为0.272 (p<0.05)。降水量与观测和DSSAT模拟小麦产量的相关系数为0.379 (p<0.01)。利用历史天气数据和DSSAT作物模型中嵌入的国际气候变化专门委员会(IPCC, 2007)情景进行的多年小麦产量预测表明,仅在2050年情景中,使用当前作物品种可以维持小麦产量。研究发现,尼泊尔中部、西部Terai地区的农业气候指数(主要是温度)对小麦产量更为敏感。该研究建议开发新的耐温耐旱小麦品种,以养活日益增长的尼泊尔人口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-year Prediction of Wheat Yield under the Changing Climatic Scenarios in Central-west Terai using DSSAT Crop Model
The central-west Terai region is one of the major production domains of wheat in Nepal; however, its yield over the past three decades has been greatly affected by climate anomalies such as fluctuating temperatures, decreased solar radiation and rainfall. NASA-POWER derived weather data of Taulihawa in Kapilbastu (27.55° N, 83.667° E) district in central Terai for the past 32–33 years (1984/85 - 2017/18) were purposively selected and downloaded and validated with recorded weather data (1985/86, 1995/96, 2005/06 and 2015/16) of Department of Hydrology and Meteorology (DHM). The trend analysis for grain yield of wheat yield in Kapilvastu was drawn with the historical data of maximum and minimum temperatures and rainfall. Positive correlations between grain yields and minimum temperature and rainfall each showed an acceptable coefficient of determinations (R2). The Cropping system Model - Crop Environment Resource Synthesis (CSM-CERES)- Wheat model, embedded in Decision Support Systems for Agro-technology Transfer (DSSAT) ver 4.7 was used for multi-year predictions of wheat yields using both historically recorded and simulated climatic scenarios. Model simulated results closely agreed with the observed wheat yields recorded by the Ministry of Agriculture and Livestock Development (MoALD) in Nepal. The correlation coefficient of minimum temperature and wheat yield was 0.272 (p<0.05). The correlation between precipitation and observed and DSSAT simulated wheat yield were 0.379 (p<0.01). The multi-year predicted wheat yields using the historical weather data and by the use of the International Panel on Climate Change (IPCC, 2007) scenario embedded in DSSAT crop model showed that yield of wheat could be sustained with use of the current crop cultivars only for 2050 scenarios. Agro-climatic index, mainly temperature, was found to be more sensitive to wheat production in the Nepalese central-west Terai region. This study suggests for the development of new temperature and drought tolerant ready wheat cultivars to feed the increasingly growing Nepalese population.
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