Investigating the Health of a Rice Field Ecosystem Using Thermodynamic Extremal Principles

Q3 Agricultural and Biological Sciences
A. Mondal, Nilanjan Das, R. Banerjee, S. Batabyal, S. Gangopadhyay, Harisankar Ray, Nivedita Biswas, S. Mandal
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引用次数: 1

Abstract

This study investigates the dynamic behaviour of a rice field ecosystem and aims to define its integral features using the stability concept of an ecological goal function. This function is based on the extremal principles of thermodynamics, which assume that certain energetic processes of ecosystems—such as the rate of exergy destruction—are directed by the self-organizing informatics of the systems towards maxima or minima.  In our study, we exploit the availability of substantially long time-series data relating to a rice field ecosystem to gain an evocative understanding of its growth trajectory in light of the thermodynamic principles. We accomplished this by constructing a model based on the STELLA 9.0 software and calculating the extremal values of growth rates (storage) and those of exergy destruction and entropy creation. The results showed that the values of both maximum dissipation and maximum exergy progressed apace with that of maximum storage till the maturation of rice and became stable thereafter, whereas maximum residence time and maximum specific dissipation values initially decreased before their asymptotic rise. A similar pattern was also observed for the maximum specific exergy. However, the maximum power dissipation curve followed a highly fluctuated course before becoming stable on the maturation of rice.
利用热力学极值原理研究稻田生态系统的健康状况
本研究旨在探讨稻田生态系统的动态行为,并利用生态目标函数的稳定性概念来定义其整体特征。这个函数是基于热力学的极限原理,它假设生态系统的某些能量过程——比如能量破坏的速度——是由系统的自组织信息学引导到最大值或最小值的。在我们的研究中,我们利用与稻田生态系统相关的大量长时间序列数据的可用性,根据热力学原理获得对其生长轨迹的令人回味的理解。通过基于STELLA 9.0软件构建模型,计算生长率(存储量)的极值以及火能破坏和熵创造的极值,实现了这一目标。结果表明,最大耗散值和最大火用值随最大贮藏量的增大而逐渐增大,直至水稻成熟后趋于稳定,而最大停留时间和最大比耗散值则先减小后逐渐增大。对于最大比能,也观察到类似的模式。在水稻成熟期,最大功率耗散曲线经历了一个高度波动的过程,而后趋于稳定。
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
Ecology Economy and Society - The INSEE Journal
Ecology Economy and Society - The INSEE Journal Agricultural and Biological Sciences-Forestry
CiteScore
1.30
自引率
0.00%
发文量
24
审稿时长
14 weeks
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