Suppr超能文献

通过非随机矩阵的熵来计算动力学熵:在建模生态系统的稳定性和复杂性方面的应用。

Dynamical entropy via entropy of non-random matrices: application to stability and complexity in modelling ecosystems.

机构信息

Department of Applied Mathematics, University of Calcutta, Kolkata 700009, India.

出版信息

Math Biosci. 2013 Oct;245(2):278-81. doi: 10.1016/j.mbs.2013.07.016. Epub 2013 Jul 31.

Abstract

In the present paper we have first introduced a measure of dynamical entropy of an ecosystem on the basis of the dynamical model of the system. The dynamical entropy which depends on the eigenvalues of the community matrix of the system leads to a consistent measure of complexity of the ecosystem to characterize the dynamical behaviours such as the stability, instability and periodicity around the stationary states of the system. We have illustrated the theory with some model ecosystems.

摘要

在本文中,我们首先基于系统的动力学模型引入了生态系统动态熵的度量。这个动态熵取决于系统群落矩阵的特征值,它为生态系统的复杂性提供了一个一致的度量,以描述系统稳定态、不稳定态和周期性等动力学行为。我们用一些模型生态系统来说明这个理论。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验