Continuous limits of large plant-pollinator random networks and some applications
Sylvain Billiard, H\'el\`ene Leman, Thomas Rey, Viet Chi Tran

TL;DR
This paper models large plant-pollinator networks using stochastic and deterministic approaches, analyzing their long-term behavior and showing potential community collapse into a single species pair.
Contribution
It introduces a framework connecting stochastic individual-based models with deterministic PDEs for plant-pollinator networks, including complex network structures like nested and modular types.
Findings
Deterministic approximations effectively describe large population dynamics.
Long-term analysis predicts collapse of nested communities to a single species pair.
Central limit theorems quantify differences between stochastic and deterministic models.
Abstract
We study a stochastic individual-based model of interacting plant and pollinator species through a bipartite graph: each species is a node of the graph, an edge representing interactions between a pair of species. The dynamics of the system depends on the between- and within-species interactions: pollination by insects increases plant reproduction rate but has a cost which can increase plant death rate, depending on the densities of pollinators. Pollinators reproduction is increased by the resources harvested on plants. Each species is characterized by a trait corresponding to its degree of generalism. This trait determines the structure of the interaction graph and the quantities of resources exchanged between species. Our model includes in particular nested or modular networks. Deterministic approximations of the stochastic measure-valued process by systems of ordinary differential…
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Taxonomy
TopicsPlant and animal studies · Insect and Arachnid Ecology and Behavior · Complex Network Analysis Techniques
