Demographic stochasticity and resource autocorrelation control biological invasions in heterogeneous landscapes

TL;DR

This study demonstrates that resource heterogeneity and demographic stochasticity significantly influence biological invasion speeds, with increased resource autocorrelation length slowing spread, confirmed through theoretical models and laboratory experiments.

Contribution

The paper introduces a combined theoretical and experimental approach showing how resource autocorrelation length and demographic stochasticity control invasion dynamics.

Findings

Increasing resource autocorrelation length reduces invasion speed.

Demographic stochasticity amplifies the slowdown effect.

Laboratory experiments with Euglena gracilis confirm theoretical predictions.

Abstract

Classical models of biological invasions assess species spread in homogeneous landscapes by assuming constant growth rates and random local movement. Mounting evidence suggests, however, that demographic stochasticity, environmental heterogeneity and non-random movement of individuals affect considerably the spread dynamics. Here, we show that the dynamics of biological invasions are controlled by the spatial heterogeneity of the resource distribution. We show theoretically that increasing the landscape resource autocorrelation length causes a reduction in the average speed of species spread. Demographic stochasticity plays a key role in the slowdown, which is streghtened when individuals can actively move towards resources. The reduction in the front propagation speed is verified in laboratory microcosm experiments with the flagellated protist Euglena gracilis by comparing spread in habitats characterized by different resource heterogeneity. Our theoretical and experimental findings highlight the need to account for the intrinsic stochasticity of population dynamics to describe spread in spatially extended landscapes, which are inevitably characterized by heterogeneous spatial distributions of resources controlling vital rates. Our work identifies the resource autocorrelation length as a key modulator and a simple measure of landscape susceptibility to biological invasions, with implications for predicting the characters of biological invasions within naturally heterogeneous environmental corridors.