Suppr超能文献

营养物网络分析:一种最优化方法。

Analysis of trophic networks: an optimisation approach.

机构信息

INSA Rouen Normandie, Laboratoire de Mathematiques, Normandie Université, Saint-Etienne du Rouvray, 76801, France.

UNICAEN, CNRS, Laboratoire de Mathématiques Nicolas Oresme, Normandie Université, Caen, 14000, France.

出版信息

J Math Biol. 2021 Oct 28;83(5):53. doi: 10.1007/s00285-021-01682-3.

Abstract

We introduce a methodology to study the possible matter flows of an ecosystem defined by observational biomass data and realistic biological constraints. The flows belong to a polyhedron in a multi dimensional space that may make statistical exploration difficult in practice; instead, we propose to solve a convex optimization problem. Seven criteria based on ecological network indices have been selected to be used as convex goal functions. Numerical results show that the method is fast and can be used for large systems. Minimum flow solutions are analyzed using flow decomposition in paths and circuits. Their consistency is also tested by introducing a system of differential equations for the biomasses and examining the stability of the biomass fixed point. The method is illustrated and explained throughout the text on an ecosystem toy model. It is also applied to realistic food models.

摘要

我们介绍了一种方法,用于研究由观测生物量数据和现实生物约束定义的生态系统的可能物质流。这些流属于多维空间中的多面体,这在实践中可能使得统计探索变得困难;相反,我们提出了解决凸优化问题。已经选择了七个基于生态网络指数的标准作为凸目标函数。数值结果表明,该方法速度快,可用于大型系统。使用路径和电路中的流分解来分析最小流解决方案。通过引入生物量的微分方程组并检查生物质固定点的稳定性,还对其一致性进行了测试。该方法在生态系统玩具模型上进行了说明和解释,并应用于现实的食物模型。

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