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Impact of extreme weather events on coconut productivity in three climatic zones of Sri Lanka

机译:极端天气事件对斯里兰卡三气候区椰子生产率的影响

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摘要

Coconut is a major plantation crop in Sri Lanka, a tropical island in the Indian Ocean. The highest coconut production is found in Gampaha, Kurunegala and Puttalam districts which belong to the wet, intermediate and dry zones respectively. An increase in the frequency of extreme weather events has been observed during the recent past. This study, the first of its kind, was undertaken to assess the impact of extreme events on coconut productivity. Meteorological and coconut productivity data were obtained for the period 1995-2015 from six estates, two estates representing each of the above-mentioned districts. Extreme events were defined using maximum daily temperature (T-max) and daily rainfall. The 90th percentiles of the daily distribution of rainfall and T-max in the reference period were used to define high rainfall and high temperature days respectively. The days with their rainfall below the 10th percentile were defined as low rainfall days. Regression analyses between coconut productivity and the number of extreme events during the first four months after flowering were performed. In the dry zone the number of high rainfall and high T-max days during the said period had a negative influence on productivity and the mean rainfall had a positive influence on productivity. In the intermediate zone the number of high rainfall events and the mean T-max of the same period had a negative impact on coconut productivity. In the wet zone, while the number of extreme weather events had no influence on the coconut productivity, the mean T-max during the first four months since flowering had a negative impact on coconut productivity.
机译:椰子是印度洋的热带岛屿斯里兰卡的一个主要种植园作物。最高椰子产量在Gampaha,Kurunegala和Puttoram区分别属于湿,中间和干燥区域。在最近的过去观察到极端天气事件频率的增加。本研究首次进行了本身,以评估极端事件对椰子生产率的影响。从六个庄园的1995 - 2015年期间获得气象和椰子生产力数据,两个遗址代表上述每个地区。使用最大每日温度(T-MAX)和每日降雨来定义极端事件。参考期间降雨和T-MAT​​的日常分布的第90百分位数分别用于定义高降雨和高温天。降雨量低于第10百分位数的日子被定义为低降雨天。椰子生产率与开花前四个月的极端事件数量之间的回归分析。在干燥区中,在所述期间的高降雨量和高的T-Max日的数量对生产力负面影响,平均降雨对生产力产生积极影响。在中间区域中,同期的高降雨事件的数量和平均T-MAX对椰子生产率产生负面影响。在潮湿的区域,虽然极端天气事件的数量对椰子生产率没有影响,但由于开花的前四个月内的平均t-max对椰子生产率产生负面影响。

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