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首页> 外文期刊>Advance journal of food science and technology >Potential Impact of Climate Change on Rained Agriculture of Ningxia
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Potential Impact of Climate Change on Rained Agriculture of Ningxia

机译:气候变化对宁夏雨水农业的潜在影响

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Rain fed agriculture in Ningxia is one of the most vulnerable sector to climate change, as the available water and land resources are limited and most of the province's land is arid. In this study, a crop simulation model (DSSAT) was used to assess the impact of climate change scenario on rainfed maize and potato in the southern mountain areas in Ningxia. Analysis of observed crop data showed differences between cultivated and harvested areas for both crops in the study area with variations among years. Results from DSSAT model for years showed that it was able to capture the trend of yield over the years realistically well. The model predicted an average yield of maize of 5450 kg/ha, which was close to the average (5446kg/ha) yield reported by the Department of statistics of Ningxia (DOSN) and an average predicted yield of potato was 2350 kg/ha while the DOSN average was 2358 kg/ha, with higher RMSE for maize (1046kg/ha) than for potato (358kg/ha). Predictions of future yield for both crops showed that the responses of maize and potato were different under different climate changes scenarios. The reduction of rainfall by 10-20% reduced the expected yield by 7-12% for maize and 9-18% for potato, respectively. The increase in rainfall by 10-20% increased the expected yield by5-9% for maize and 10-20% for potato, respectively. The increase of air temperature by 1,2,3 and 4℃ resulted in deviation from expected yield by-3.3, -0.27.+6.1 and +12.5 % for maize and -18.4, -15.7, -8 and +0.4 % for potato, respectively. These results indicated that potato would be more negatively affected by the climate changes scenarios and therefore adaptation plans should prioritize the areas cultivated with this crop.
机译:宁夏的雨养农业是最容易受到气候变化影响的部门之一,因为可用的水和土地资源有限,而且该省大部分土地都干旱。在这项研究中,使用了作物模拟模型(DSSAT)来评估气候变化情景对宁夏南部山区雨养玉米和马铃薯的影响。对观察到的作物数据的分析表明,研究区域中两种作物的耕种面积和收获面积之间存在差异,并且每年之间存在差异。多年以来的DSSAT模型结果表明,它能够很好地捕捉多年来的产量趋势。该模型预测玉米平均单产为5450千克/公顷,接近宁夏统计局报告的平均单产(5446千克/公顷),马铃薯的平均预测单产为2350千克/公顷,而DOSN平均为2358公斤/公顷,玉米(1046公斤/公顷)的均方根误差高于马铃薯(358公斤/公顷)。两种作物未来单产的预测表明,在不同的气候变化情景下,玉米和马铃薯的反应不同。降雨减少10-20%,玉米和马铃薯的预期产量分别减少7-12%和9-18%。降雨增加10-20%,玉米和马铃薯的预期产量分别增加5-9%和10-20%。气温升高1,2,3和4℃导致玉米的预期产量降低了-3.3,-0.27。+ 6.1和+12.5%,马铃薯的则分别为-18.4,-15.7,-8和+0.4% , 分别。这些结果表明,马铃薯将受到气候变化情景的负面影响,因此,适应计划应优先考虑使用该作物种植的地区。

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