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气候变化对作物产量的影响及实现粮食安全的模型的作用。

Impact of climate change on crop yield and role of model for achieving food security.

机构信息

High Altitude Biology, CSIR-Institute of Himalayan Bioresource Technology, Palampur, 176061, India.

出版信息

Environ Monit Assess. 2016 Aug;188(8):465. doi: 10.1007/s10661-016-5472-3. Epub 2016 Jul 14.

Abstract

In recent times, several studies around the globe indicate that climatic changes are likely to impact the food production and poses serious challenge to food security. In the face of climate change, agricultural systems need to adapt measures for not only increasing food supply catering to the growing population worldwide with changing dietary patterns but also to negate the negative environmental impacts on the earth. Crop simulation models are the primary tools available to assess the potential consequences of climate change on crop production and informative adaptive strategies in agriculture risk management. In consideration with the important issue, this is an attempt to provide a review on the relationship between climate change impacts and crop production. It also emphasizes the role of crop simulation models in achieving food security. Significant progress has been made in understanding the potential consequences of environment-related temperature and precipitation effect on agricultural production during the last half century. Increased CO2 fertilization has enhanced the potential impacts of climate change, but its feasibility is still in doubt and debates among researchers. To assess the potential consequences of climate change on agriculture, different crop simulation models have been developed, to provide informative strategies to avoid risks and understand the physical and biological processes. Furthermore, they can help in crop improvement programmes by identifying appropriate future crop management practises and recognizing the traits having the greatest impact on yield. Nonetheless, climate change assessment through model is subjected to a range of uncertainties. The prediction uncertainty can be reduced by using multimodel, incorporating crop modelling with plant physiology, biochemistry and gene-based modelling. For devloping new model, there is a need to generate and compile high-quality field data for model testing. Therefore, assessment of agricultural productivity to sustain food security for generations is essential to maintain a collective knowledge and resources for preventing negative impact as well as managing crop practises.

摘要

近年来,全球范围内的多项研究表明,气候变化可能会影响粮食生产,并对粮食安全构成严重挑战。面对气候变化,农业系统需要采取适应措施,不仅要增加粮食供应,以满足全球不断变化的饮食模式下不断增长的人口需求,还要抵消对地球的负面环境影响。作物模拟模型是评估气候变化对作物生产潜在影响和农业风险管理中信息性适应策略的主要工具。考虑到这个重要问题,本文试图对气候变化影响与作物生产之间的关系进行综述。它还强调了作物模拟模型在实现粮食安全方面的作用。在过去的半个世纪中,人们在理解与环境相关的温度和降水对农业生产的潜在影响方面取得了重大进展。CO2 施肥的增加增强了气候变化的潜在影响,但它的可行性仍存在疑问,研究人员对此存在争议。为了评估气候变化对农业的潜在影响,已经开发了不同的作物模拟模型,以提供避免风险和理解物理和生物过程的信息性策略。此外,它们还可以通过确定适当的未来作物管理实践和识别对产量影响最大的特征,帮助进行作物改良计划。尽管如此,通过模型进行气候变化评估仍存在一系列不确定性。通过使用多模型、将作物模型与植物生理学、生物化学和基于基因的模型相结合,可以降低预测不确定性。为了开发新模型,需要生成和编译高质量的现场数据进行模型测试。因此,评估农业生产力以维持子孙后代的粮食安全,对于维护集体知识和资源以防止负面影响以及管理作物实践至关重要。

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