Stochastic Lotka–Volterra food chains

• Published in: Journal of mathematical biology Vol. 77; no. 1; pp. 135 - 163
• Main Authors: Hening, Alexandru, Nguyen, Dang H.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-07-2018; Springer Nature B.V
• Subjects: Animals; Applications of Mathematics; Ecosystem; Endangered & extinct species; Extinct species; Extinction, Biological; Food Chain; Food chains; Mathematical and Computational Biology; Mathematical Concepts; Mathematics; Mathematics and Statistics; Models, Biological; Population Dynamics; Predators; Predatory Behavior; Prey; Probability; Species extinction; Stochastic Processes; Stochasticity; Persistence; 37H15; Lotka–Volterra; 60H10; 92D25; Extinction; Predator-prey; 60J60; Lyapunov exponent; Degenerate noise; Stochastic environment
• ISSN: 0303-6812; 1432-1416
• DOI: 10.1007/s00285-017-1192-8

We study the persistence and extinction of species in a simple food chain that is modelled by a Lotka–Volterra system with environmental stochasticity. There exist sharp results for deterministic Lotka–Volterra systems in the literature but few for their stochastic counterparts. The food chain we analyze consists of one prey and
n
-
1
predators. The
j
th predator eats the
j
-
1
th species and is eaten by the
j
+
1
th predator; this way each species only interacts with at most two other species—the ones that are immediately above or below it in the trophic chain. We show that one can classify, based on an explicit quantity depending on the interaction coefficients of the system, which species go extinct and which converge to their unique invariant probability measure. Our work can be seen as a natural extension of the deterministic results of Gard and Hallam ’79 to a stochastic setting. As one consequence we show that environmental stochasticity makes species more likely to go extinct. However, if the environmental fluctuations are small, persistence in the deterministic setting is preserved in the stochastic system. Our analysis also shows that the addition of a new apex predator makes, as expected, the different species more prone to extinction. Another novelty of our analysis is the fact that we can describe the behavior of the system when the noise is degenerate. This is relevant because of the possibility of strong correlations between the effects of the environment on the different species.