降雨多变性对埃斯瓦提尼玉米产量的影响

M. Mkhwanazi, Lindokuhle H. Ndzinisa, Sanele J. Sacolo
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引用次数: 0

摘要

由于气候变化,降雨变得更加不稳定和不可靠,农作物生产日益受到威胁。埃斯瓦提尼的雨季主要在 10 月至次年 3 月之间,但降雨量、降雨季节的开始和结束以及干旱期的变化最近一直威胁着雨水灌溉的玉米生产。这项研究旨在评估降雨量的多变程度及其对埃斯瓦提尼雨水灌溉玉米生产的影响。研究人员从气象服务部获得了 1991-2021 年的降雨量数据,这些数据来自六个气象站,代表了埃斯瓦提尼的不同农业生态区。然后利用变异系数(CV)确定了降雨量的变异程度。同时还确定了降雨量与玉米产量之间的关系。这样做是为了确定玉米产量如何应对降雨量的变化。 玉米产量数据来自粮农组织在线平台 FAOSTAT。研究结果表明,埃斯瓦提尼的降雨量变异性为中度到高度不等。中纬度地区(Middleveld)和高纬度地区(Highveld)的年际变化率分别为 25% 和 23%,属于中等水平,而低纬度地区的年际变化率则高达 34%。研究发现,季节性降雨量与全国玉米产量(单位:公吨)有显著的统计学关系。季节性降雨量与产量之间的皮尔逊相关系数(r)为 0.68,经检测发现该系数显著(P<.05),表明两者之间存在显著的正相关关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Rainfall Variability on Maize Production in Eswatini
Crop production is increasingly under threat as rainfall becomes more erratic and unreliable due to climate change. The rainy season in Eswatini is mainly between October and March, but a variation in the amount of rainfall, onset and cessation of rainfall season, and dry spells has been lately threatening rain-fed maize production. This study was meant to assess the degree of rainfall variability and its impacts on rain-fed maize production in Eswatini. Rainfall data for the years 1991-2021 from six weather stations representing the various agro-ecological zones in Eswatini was obtained from the Department of Meteorological Services. The degree of rainfall variability was then determined using the coefficient of variability (CV). Also determined was the relationship between rainfall and the maize production. This was done to determine how maize production responds to rainfall variability.  Maize production data was obtained from the FAO online platform, FAOSTAT. Results from the study indicated that in Eswatini there is moderate to high rainfall variability. The Middleveld and Highveld had a year-to-year variability of 25% and 23%, respectively which is classified as moderate while the Lowveld had high variability of 34%. The seasonal rainfall was found to have a statistically significant relationship with nationwide maize production (in metric tonnes). The Pearson correlation coefficient (r) between seasonal rainfall and yield was found to be 0.68, which was tested and found to be significant (P<.05), indicating a significant positive correlation.
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