The value of internal memory for population growth in varying environments

TL;DR

This paper demonstrates that internal memory, such as seed age, enhances population growth in fluctuating environments by allowing better adaptation without relying on external cues.

Contribution

It introduces a model where internal states like seed age serve as memory, improving long-term growth in variable environments, which is a novel perspective compared to cue-based models.

Findings

Internal memory increases long-term population growth.

Age-dependent germination improves adaptation in structured environments.

Internal states can serve as reliable memory without external cues.

Abstract

In varying environments it is beneficial for organisms to utilize available cues to infer the conditions they may encounter and express potentially favorable traits. However, external cues can be unreliable or too costly to use. We consider an alternative strategy where organisms exploit internal sources of information. Even without sensing environmental cues, their internal states may become correlated with the environment as a result of selection, which then form a memory that helps predict future conditions. To demonstrate the adaptive value of such internal memory in varying environments, we revisit the classic example of seed dormancy in annual plants. Previous studies have considered the germination fraction of seeds and its dependence on environmental cues. In contrast, we consider a model of germination fraction that depends on the seed age, which is an internal state that can serve as a memory. We show that, if the environmental variation has temporal structure, then age-dependent germination fractions will allow the population to have an increased long-term growth rate. The more organisms can remember through their internal states, the higher growth rate a population can potentially achieve. Our results suggest experimental ways to infer internal memory and its benefit for adaptation in varying environments.