Barbillon Pierre, Thomas Mathieu, Goldringer Isabelle, Hospital Frédéric, Robin Stéphane
AgroParisTech / UMR INRA MIA, F-75005 Paris, France; INRA, UMR 518, F-75005 Paris, France.
AgroParisTech / UMR INRA MIA, F-75005 Paris, France; INRA, UMR 518, F-75005 Paris, France; INRA, UMR 0320 / UMR 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France.
J Theor Biol. 2015 Jan 21;365:365-76. doi: 10.1016/j.jtbi.2014.10.032. Epub 2014 Nov 7.
Dynamic extinction colonisation models (also called contact processes) are widely studied in epidemiology and in metapopulation theory. Contacts are usually assumed to be possible only through a network of connected patches. This network accounts for a spatial landscape or a social organization of interactions. Thanks to social network literature, heterogeneous networks of contacts can be considered. A major issue is to assess the influence of the network in the dynamic model. Most work with this common purpose uses deterministic models or an approximation of a stochastic Extinction-Colonisation model (sEC) which are relevant only for large networks. When working with a limited size network, the induced stochasticity is essential and has to be taken into account in the conclusions. Here, a rigorous framework is proposed for limited size networks and the limitations of the deterministic approximation are exhibited. This framework allows exact computations when the number of patches is small. Otherwise, simulations are used and enhanced by adapted simulation techniques when necessary. A sensitivity analysis was conducted to compare four main topologies of networks in contrasting settings to determine the role of the network. A challenging case was studied in this context: seed exchange of crop species in the Réseau Semences Paysannes (RSP), an emergent French farmers׳ organisation. A stochastic Extinction-Colonisation model was used to characterize the consequences of substantial changes in terms of RSP׳s social organization on the ability of the system to maintain crop varieties.
动态灭绝-定殖模型(也称为接触过程)在流行病学和集合种群理论中得到了广泛研究。通常假定接触仅通过相连斑块网络发生。该网络体现了空间格局或互动的社会组织形式。借助社会网络文献,可以考虑异质接触网络。一个主要问题是评估网络在动态模型中的影响。大多数出于这一共同目的的研究使用确定性模型或随机灭绝-定殖模型(sEC)的近似模型,而这些模型仅适用于大型网络。在处理规模有限的网络时,所产生的随机性至关重要,并且在结论中必须予以考虑。在此,针对规模有限的网络提出了一个严格的框架,并展示了确定性近似的局限性。当斑块数量较少时,该框架允许进行精确计算。否则,使用模拟,并在必要时通过适配的模拟技术加以改进。进行了敏感性分析,以比较在不同背景下四种主要网络拓扑结构,从而确定网络的作用。在此背景下研究了一个具有挑战性的案例:法国新兴农民组织“农村种子网络”(RSP)中作物品种的种子交换。使用随机灭绝-定殖模型来描述RSP社会组织的重大变化对系统维持作物品种能力的影响。