尼日利亚中北部降雨变化及其对玉米和水稻产量的影响

G. H. Ntat, S. Ojoy, Y. Suleiman
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引用次数: 3

摘要

降雨在数量、分布(空间、季节和日)、强度和频率方面的变异性影响作物生产和产量。本文研究了尼日利亚中北部地缘政治区域降雨的时间趋势、年际和空间分布,以及年平均降雨量对玉米和水稻产量的影响。区域内6个站点1987—2016年30年的日降雨量记录:阿布贾、伊洛林、乔斯、洛科贾、马库尔迪和米纳的数据来自尼日利亚气象局(NiMet)的档案,阿布贾和尼日利亚统计局1994 - 2016年期间的玉米和水稻产量用于研究。降雨资料采用描述性分析进行统计分析。降雨时空分布采用Mann-Kendal检验和Kriging方法,降雨量对玉米和水稻产量的影响采用回归分析。研究区年降水量在1100 ~ 1700 mm之间。在研究的六个站点中;只有阿布贾在统计上有显著的增加趋势,而该区域的其他五个监测站则没有显著的增加趋势。该地区的降雨分布主要受乔斯高原的影响,而不是受经纬度的影响。总体而言,降雨对玉米和水稻产量有正向影响,但站间影响程度不同。关键词:降雨变率,趋势,分布,影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rainfall variability and the impact on maize and rice yields in north – central Nigeria
Rainfall variability in terms of amount, distribution (spatial, seasonal and diurnal), intensity and frequency of rainy days influence crop production and yield. This paper examined rainfall temporal trend inter-annual and spatial distribution and the implication of mean annual rainfall on maize and rice yield in North – Central Geopolitical Region of Nigeria. Daily rainfall records of thirty years period (1987 – 2016) at six stations in the region, namely; Abuja, Ilorin, Jos, Lokoja, Makurdi and Minna were obtained from the archive of the Nigerian Meteorological Agency (NiMet), Abuja and maize and rice yield for the period 1994 – 2016 obtained from the Bureau of Statistics of Nigeria were used for the study. The rainfall data were subjected to statistical analysis using descriptive analysis. Mann-Kendal test and Kriging method were used for the spatio–temporal rainfall distribution while the impact of rainfall amount on maize and rice yields was investigated using regression analysis. The annual rainfall amount experienced in study area was between 1100 mm and 1700 mm. Out of the six stations studied; only Abuja indicated statistically significant increased trend while the other five stations in the region showed no significant trend. Rainfall distribution in the region is largely influence by the Jos Plateau rather than Latitudes or Longitude. Generally, rainfall influences maize and rice yield positively but at varying degree from station to stationKeywords: Rainfall variability, Trend, Distribution, Impact
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