Stochastic spatial Lotka-Volterra predator-prey models
Uwe C. T\"auber (Virginia Tech)

TL;DR
This paper explores stochastic spatial predator-prey models, revealing complex spatio-temporal structures, phase transitions, and ecological dynamics influenced by local interactions, resource variability, and evolutionary traits, with implications for disease spread and species competition.
Contribution
It introduces novel stochastic spatial models for predator-prey interactions, analyzing phase transitions, ecological stability, and evolutionary dynamics using field-theoretic and percolation methods.
Findings
Predator extinction threshold governed by directed percolation universality.
Seasonal resource variation stabilizes predator-prey dynamics.
Spatial heterogeneity influences species densities and extinction events.
Abstract
Stochastic, spatially extended models for predator-prey interaction display spatio-temporal structures that are not captured by the Lotka-Volterra mean-field rate equations. These spreading activity fronts reflect persistent correlations between predators and prey that can be analyzed through field-theoretic methods. Introducing local restrictions on the prey population induces a predator extinction threshold, with the critical dynamics at this continuous active-to-absorbing state transition governed by the scaling exponents of directed percolation. Novel features in biologically motivated model variants include the stabilizing effect of a periodically varying carrying capacity that describes seasonally oscillating resource availability; enhanced mean species densities and local fluctuations caused by spatially varying reaction rates; and intriguing evolutionary dynamics emerging when…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Mathematical and Theoretical Epidemiology and Ecology Models · Marine and coastal ecosystems
