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首页> 外文期刊>African Crop Science Journal >Simulating rice yields under climate change scenarios using the CERES-Rice model.
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Simulating rice yields under climate change scenarios using the CERES-Rice model.

机译:使用CERES-Rice模型在气候变化情景下模拟水稻产量。

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The effects of climate change on rice production and yield cannot be overlooked in finding measures to increase production and yield. The CERES-Rice (Ver. 4.0) model was calibrated and evaluated for use in simulating rice yields under different climate change scenarios in Ghana using data from the Anum Valley Irrigation Project. Eighteen years of weather data (1989-2006) was used to run the model. The model was found to be sensitive to climatic parameters (temperature, CO2 concentration, solar radiation and rainfall) and had various effects on rice. Simulated rice yields were sensitive to weather years as there was 13% less yield of rice in 1999 compared with 2001. Increases or decreases of temperature by 4 degrees C from the maximum or minimum, decreased rice yields by 34% as compared to base scenario of 2006. Similar change in temperatures along with an increase in solar radiation by 1 MJ m-2 day-1, decreased rice yield by 32% compared to base scenario. On the other hand, the same changes in temperature from the maximum and minimum, together with an increase in CO2 concentration by 20 ppm from the standard CO2 concentration of 330 ppm, led to a reduction in rice yield of 33%. Simulations demonstrate that the effects of planting dates cannot be overlooked in finding measures to increase rice yield under climate change mitigations. The effects of climate change on rice yield of will depend on the actual patterns of change in rice growing areas. However, the negative impacts can be averted through appropriate measures such as changes in agronomic practices, development of more temperature tolerant rice varieties and effective training of farmers.
机译:在寻找增加产量和产量的措施时,不能忽视气候变化对水稻产量和产量的影响。使用来自阿努姆山谷灌溉项目的数据,对CERES-Rice(4.0版)模型进行了校准和评估,以用于模拟加纳不同气候变化情景下的水稻产量。该模型使用了18年的气象数据(1989-2006)。发现该模型对气候参数(温度,CO 2 浓度,太阳辐射和降雨)敏感,并且对水稻有多种影响。模拟的稻米产量对天气年份较为敏感,因为1999年的稻米产量比2001年减少了13%。从最高或最低温度升高或降低4摄氏度后,稻米产量与基础情景相比降低了34%。 2006年。与基本情景相比,类似的温度变化以及太阳辐射增加了1 MJ m -2 天 -1 ,使水稻减产32%。另一方面,温度的最大值和最小值相同,并且CO 2 的浓度从330 ppm的标准CO 2 浓度增加了20 ppm ,导致水稻产量减少33%。模拟表明,在寻找缓解气候变化的措施来提高水稻产量的措施中,播种日期的影响不可忽视。气候变化对水稻产量的影响将取决于水稻种植地区实际的变化模式。但是,可以通过采取适当措施来避免不利影响,例如改变农艺习惯,开发更具耐温性的水稻品种以及对农民进行有效培训。

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