Mathematics 4MB3/6MB3 Mathematical Biology

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Mathematics and Statistics dω = ω M M Mathematics 4MB3/6MB3 Mathematical Biology Instructor: Guillaume Blanchet Lecture 22 Synchrony - Part 6 March 4 th 2015

Application of simple coherence criteria 10 patch logistic metapopulation r λ < 1 e χ λ > 1 (coherence inevitable) (coherence impossible) Earn, Levin & Rohani (2000) Science 290, 1360 1364

Comments on coherence theory Global theory is limited in applicability: Nice theorem guarantees global asymptotic coherence (GAC) Earn & Levin (2006) PNAS 103, 3968-3971 But hypotheses quite restrictive Local theory is limited in practical power: Applies very generally and aids understanding But coherence possible doesn t tell how probable Quasi-global theory promising: Show asymptotic approach to coherent manifold from anywhere nearby (rather than just near attractor) McCluskey & Earn (2011) J. Math. Biol. 62, 509 541

Coherence in numerical experiments (simulations) 10 patch logistic metapopulation Systematically explore representative set of initial conditions and determine probability of coherence within some tolerance, within some specified time e.g., coherence to within 10% within 10 iterations Extremely demanding computationally... Earn, Levin & Rohani (2000) Science 290, 1360 1364

Connecting coherence to extinction Strictly deterministic simulations reveal conditions (model parameter regions) that tend to lead to coherence. Coherence extinction, but intuitively predict: higher probability of coherence = higher probability of global extinction greater difference between probabilities of local and global extinction Test these predictions by adding global noise (randomly occurring events that affect all patches equally) to the deterministic simulations. Global noise models environmental stochasticity (e.g., weather), which presents a large risk of global extinction because the noise is correlated across all patches.

Effects of global events that affect all patches equally 10 patch logistic metapopulation subject to global noise Earn, Levin & Rohani (2000) Science 290, 1360 1364

Comments on coherence experiments 10 patch logistic metapopulation Relationship between model parameters (r, m) and probability of coherence is complicated. Predicted relationship between probababilities of coherence and extinction verified. Experiments we ve discussed ignore demographic stochasticity: number of individuals in a population is always an integer. number of offspring an individual produces is a stochastic process. Better model would use a stochastic demographic process rather than a deterministic map based on population densities. Population models like logistic metapopulation are most relevant to situations where we want to prevent extinctions (conservation of endangered species).

Relationship to conservation For species that we want to conserve, synchrony is bad! Synchrony prevents rescue effects Coherence criteria yield method for estimating risk of synchronization in ecological systems Earn, Levin & Rohani (2000) Coherence and Conservation Science 290, 1360 1364

Current Coherence Research Mathematical challenges Strengthen theorems Work out details of illustrative examples Biological goals Why do measles and whooping cough have opposite patterns of synchrony? What kinds of vaccination strategies can synchronize epidemics worldwide? Are such strategies practical to implement? Example: global pulse vaccination

Global pulse vaccination Basic idea International vaccination day each year (or in alternate years, etc.) Probably combined with continuous vaccination in countries that already have almost complete coverage Why might this help? Introduce a synchronized periodic forcing Has potential to synchronize epidemic troughs Pathogen more likely to go extinct globally during synchronized trough Why might this fail? Periodic forcing can have complex dynamical effects...

Example of Synchronization via Pulse Vaccination SEIR model: N 1 = N 2 = 5 10 7, R 0 = 17, σ 1 = 8 days, γ 1 = 5 days, α = 0.15, ɛ = 0.001. Immunization started in year 50. Then 20% of susceptible population vaccinated on 1 January each year. Earn, Rohani & Grenfell (1998) Proc. R. Soc. Lond. 265, 7 10