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Climate change and rice yields in diverse agro-environments of India. II. Effect of uncertainties in scenarios and crop models on impact assessment

机译:印度各种农业环境中的气候变化和水稻产量。二。方案和作物模型的不确定性对影响评估的影响

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Estimates of impact of climate change on crop production could be biased depending upon the uncertainties in climate change scenarios, region of study, crop models used for impact assessment and the level of management. This study reports the results of a study where the impact of various climate change scenarios has been assessed on grain yields of irrigated rice with two popular crop simulation models- Ceres-Rice and ORYZA1N at different levels of N management. The results showed that the direct effect of climate change on rice crops in different agroclimatic regions in India would always be positive irrespective of the various uncertainties. Rice yields increased between 1.0 and 16.8% in pessimistic scenarios of climate change depending upon the level of management and model used. These increases were between 3.5 and 33.8% in optimistic scenarios. At current as well as improved level of management, southern and western parts of India which currently have relatively lower temperatures compared to northern and eastern regions, are likely to show greater sensitivity in rice yields under climate change. The response to climate change is small at low N management compared to optimal management. The magnitude of this impact can be biased upto 32% depending on the uncertainty in climate change scenario, level of management and crop model used. These conclusions are highly dependent on the specific thresholds of phenology and photosynthesis to change in temperature used in the models. Caution is needed in using the impact assessment results made with the average simulated grain yields and mean changes in climatic parameters.
机译:根据气候变化情景,研究区域,影响评估所用作物模型和管理水平的不确定性,气候变化对作物生产的影响的估计值可能会产生偏差。这项研究报告了一项研究结果,其中使用两种流行的作物模拟模型Ceres-Rice和ORYZA1N在不同氮素管理水平下评估了各种气候变化情景对灌溉水稻谷物产量的影响。结果表明,无论不确定性如何,气候变化对印度不同农业气候区的水稻作物的直接影响始终是积极的。在悲观的气候变化情景下,水稻产量将增长1.0%至16.8%,这取决于管理水平和所使用的模式。在乐观的情况下,这些增长介于3.5%和33.8%之间。在目前以及管理水平提高的情况下,与南部和北部地区相比,印度南部和西部地区目前气温相对较低,在气候变化下,水稻产量可能表现出更大的敏感性。与最佳管理相比,低氮管理对气候变化的响应很小。取决于气候变化情景,管理水平和所使用的作物模型的不确定性,这种影响的程度可以偏差高达32%。这些结论高度依赖于物候和光合作用的特定阈值,以改变模型中使用的温度。在使用影响评估结果时需要谨慎,该评估结果由平均模拟谷物产量和气候参数的平均变化得出。

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