Stochastic growth rates for populations in random environments with rare migration
David Steinsaltz, Shripad Tuljapurkar

TL;DR
This paper analyzes how rare migration affects the long-term growth rate of populations in stochastic environments, showing conditions under which migration increases growth, especially when differences between sites are small or variances are large.
Contribution
It provides a mathematical analysis of stochastic growth rates with rare migration, deriving bounds and conditions for when migration is beneficial in random environments.
Findings
Migration can increase growth rate when differences between sites are small.
The behavior near zero migration rate follows a power law under Gaussian assumptions.
Migration is favored when the variance of growth rate differences is large.
Abstract
The growth of a population divided among spatial sites, with migration between the sites, is sometimes modelled by a product of random matrices, with each diagonal elements representing the growth rate in a given time period, and off-diagonal elements the migration rate. The randomness of the matrices then represents stochasticity of environmental conditions. We consider the case where the off-diagonal elements are small, representing a situation where migration has been introduced into an otherwise sessile meta-population. We examine the asymptotic behaviour of the long-term growth rate. When there is a single site with the highest growth rate, under the assumption of Gaussian log growth rates at the individual sites (or having Gaussian-like tails) we show that the behavior near zero is like a power of , and derive upper and lower bounds for the power in terms of the…
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
TopicsStochastic processes and statistical mechanics · Point processes and geometric inequalities · Ecosystem dynamics and resilience
