Impact of elevated carbon dioxide and temperature on crop yield: A study of autonomous and nonautonomous systems.

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2024-11-01 DOI:10.1063/5.0225698
Akash Yadav, Anjali Jha, A K Misra
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引用次数: 0

Abstract

Agricultural crops are vital for human survival, forming the backbone of global food supply. However, the rising atmospheric carbon dioxide (CO2) level and the increasing temperature relative to the pre-industrial level are poised to impact the yields of essential staple food crops significantly. In this research, we propose and analyze a nonlinear mathematical model to investigate the effects of elevated CO2 and temperature on crop yield. Our model assumes that rising CO2 levels elevate the global average temperature, and the surface temperature initially boosts the growth rate of crops until a threshold is reached, after which the growth rate declines. We also incorporate seasonal variations into the model and perform a comprehensive analytical and numerical analysis of both the autonomous and associated nonautonomous systems. Our findings reveal a critical threshold for anthropogenic CO2 emissions, beyond which the crop yield starts to decrease. Notably, crops with high-temperature tolerance demonstrate higher yields even under elevated CO2 conditions, suggesting a viable strategy for mitigating climate change impacts: developing or utilizing crop varieties with enhanced temperature tolerance. Moreover, our analysis of the nonautonomous system uncovers periodic solutions when the corresponding autonomous system is stable. The nonautonomous system also exhibits complex dynamics, including higher-period oscillations and chaos, when the autonomous system undergoes limit-cycle oscillations. This study provides valuable insights into the interplay between CO2 level, global average surface temperature, and crop yield, offering potential strategies for safeguarding agricultural productivity in the face of climate change.

二氧化碳和温度升高对作物产量的影响:自主和非自主系统研究。
农作物对人类生存至关重要,是全球粮食供应的支柱。然而,与工业化前水平相比,大气中二氧化碳(CO2)含量的上升和温度的升高将对基本主粮作物的产量产生重大影响。在这项研究中,我们提出并分析了一个非线性数学模型,以研究二氧化碳和温度升高对作物产量的影响。我们的模型假定,二氧化碳水平的升高会使全球平均气温升高,地表温度最初会提高农作物的生长率,直到达到一个临界值,之后生长率会下降。我们还将季节变化纳入模型,并对自主系统和相关的非自主系统进行了全面的分析和数值分析。我们的研究结果揭示了人为二氧化碳排放的临界阈值,超过该阈值,作物产量开始下降。值得注意的是,具有高温耐受性的作物即使在二氧化碳升高的条件下也能获得较高的产量,这为减轻气候变化的影响提出了一个可行的策略:开发或利用具有更强温度耐受性的作物品种。此外,当相应的自主系统稳定时,我们对非自主系统的分析发现了周期性的解决方案。当自主系统发生极限周期振荡时,非自主系统也会表现出复杂的动态,包括高周期振荡和混沌。这项研究为了解二氧化碳水平、全球平均地表温度和农作物产量之间的相互作用提供了宝贵的见解,为面对气候变化保护农业生产力提供了潜在的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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