Extreme Temperature Events and Rice Production in Bangladesh

M. Maniruzzaman, J. Biswas, M. Hossain, M. Haque, U. A. Naher, N. Kalra
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引用次数: 3

Abstract

The extreme climatic events are increasing because of climate change impacts and thus likely to influence global agricultural production. Regional assessments on various abiotic factors and its influences on biological entities in diverse geographic locations are needed for understanding uncertainties. Rice grain yields and daily temperature data from 1971–2015 were used to quantify extreme temperature events in different regions of Bangladesh and their impacts on rice yields growing in three seasons of Bangladesh. The regional averaged trends in temperature extremes were consistent with global warming. The occurrence summer days (SU), tropical nights (TR), warm days (TX90), and nights (TN90) and a warm spell duration indicator (WSDI) increased by 0.388 (P0.00001), 0.103 (P0.19), 0.520 (P0.00000), 0.269 (P0.0004), 0.147 (P0.0001), days yr-1, respectively. The frequencies of cold days (TX10) and nights (TN10), and cold spell duration indicator (CSDI) showed decreasing trends of −0.143 (P0.0006), −0.254 (P0.001), and −0.04 (P0.227) day yr-1, respectively. Sharp increases of TR and TN90 indices took place in 1985–2000. Principal component analysis showed that SU, TX90, TN90, WSDI, TX10, TN10 and diurnal temperature range (DTR) were the main influencing factors for seasonal variations in rice yield. Warm and cold nights played a vital role in reducing rice yields. It can be concluded that extreme temperature events will be increased in Bangladesh and thus necessitating heat and cold tolerant rice varieties with appropriate management options for sustained future rice production in Bangladesh.
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孟加拉国极端温度事件与水稻生产
由于气候变化的影响,极端气候事件正在增加,从而可能影响全球农业生产。为了了解不确定性,需要对不同地理位置的各种非生物因素及其对生物实体的影响进行区域评估。利用1971-2015年的水稻产量和日温度数据,量化孟加拉国不同地区的极端温度事件及其对孟加拉国三个季节水稻产量的影响。极端温度的区域平均趋势与全球变暖一致。夏季日数(SU)、热带夜数(TR)、暖日数(TX90)、暖夜数(TN90)和暖期天数指标(WSDI)分别比上年增加0.388 (P0.00001)、0.103 (P0.19)、0.520 (P0.00000)、0.269 (P0.0004)、0.147 (P0.0001)天。寒日(TX10)、寒夜(TN10)频次和寒潮持续时间指标(CSDI)分别呈- 0.143 (P0.0006)、- 0.254 (P0.001)和- 0.04 (P0.227)日/年递减趋势。TR和TN90指数在1985-2000年间急剧上升。主成分分析表明,SU、TX90、TN90、WSDI、TX10、TN10和日温差(DTR)是水稻产量季节变化的主要影响因子。冷暖夜对水稻减产起着至关重要的作用。可以得出结论,孟加拉国的极端温度事件将增加,因此需要具有适当管理选择的耐热和耐寒水稻品种,以维持孟加拉国未来的水稻生产。
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