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