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Analysis of El Ni?o Southern Oscillation and its impact on rainfall distribution and productivity of selected cereal crops in Kembata Alaba Tembaro zone

机译:El Ni?O Southern振荡分析及其对Kembata Alaba Tembaro区中所选谷物作物降雨分布及生产率的影响

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El Ni?o Southern Oscillation could likely distort the hydro climatological processes and adversely affect agricultural production at various magnitudes. This study explored the manifestations of ENSO-induced rainfall variability and its impact on selected cereal crops in Kembata Alaba Tembaro Zones of southern Ethiopia. Accordingly, precipitation, temperature, crop, and Sea Surface Temperature (SST) data were collected from the National Meteorology Agency of Ethiopia, and the National Oceanic and Atmospheric Administration (NOAA). Rainfall variability was analyzed using the Coefficient of Variation and various anomaly indices. Spatial and temporal relationships between SST and yield of selected crops were established using the person correlation method. Mann-Kendal trend test was also used for trend analysis. The results revealed a statically significant (P??0.05) decreasing trend and highly variable spring and summer rainfall. Global SSTs strongly influence both summer and spring rainfalls. El Ni?o and La Ni?a events were shown to influence the local rainfall distribution and crop production at varying magnitude over different spaces and times. The yield reduction due to ENSO increases from wheat, barley, maize to Sorghum, respectively, while Enset ( ventricosum ) was found to be less influenced by ENSO-caused rainfall variability. This implies that sorghum and maize crops are more sensitive to El Ni?o and La Ni?a events in the study area compared to the other crops considered in this study. The conformity of Enset yield with rainfall variability could be attributed to its tolerance to moisture stress. From the results, one can conclude that the overall cereal crop productivity was adversely, but differentially, affected by ENSO-induced climate variability.
机译:El Ni?O Southern振荡可能会扭曲水力气候过程,并对各种量大的农业生产产生不利影响。本研究探讨了Enso诱导的降雨变异性的表现及其对埃塞俄比亚南部Kembata Alaba Tembaro区所选谷物作物的影响。因此,从埃塞俄比亚国家气象学机构和国家海洋和大气管理(NOAA)收集了沉淀,温度,作物和海表面温度(SST)数据。利用变异系数和各种异常指数进行降雨变异性。利用人相关方法建立了SST和所选作物产量之间的空间和时间关系。 Mann-Kendal趋势试验也用于趋势分析。结果显示出静重显着(p≤≤0.05)减少趋势和高度可变的春季降雨。全球SST强烈影响夏季和春季降雨。 El Ni?o和La Ni?事件被证明会影响局部降雨分布和作物生产在不同的空间和时间。由于ENSO的屈服减少,分别从小麦,大麦,玉米到高粱增加,而敌人(脑室)被发现受ENSO导致的降雨变异性的影响较小。这意味着高粱和玉米作物对El Ni?O和La Ni更敏感?与本研究中考虑的其他作物相比,研究区的事件。敌意产量与降雨变异性的一致性可能归因于其对水分胁迫的耐受性。从结果中,可以得出结论,通过enso诱导的气候变异性影响,整体谷物作物生产率不利,但差异化。

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