Hosoda, K.; Seno, S.; Kamiura, R.; Murakami, N.; Kondoh, M. Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems. Entropy2023, 25, 1624.
Hosoda, K.; Seno, S.; Kamiura, R.; Murakami, N.; Kondoh, M. Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems. Entropy 2023, 25, 1624.
Hosoda, K.; Seno, S.; Kamiura, R.; Murakami, N.; Kondoh, M. Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems. Entropy2023, 25, 1624.
Hosoda, K.; Seno, S.; Kamiura, R.; Murakami, N.; Kondoh, M. Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems. Entropy 2023, 25, 1624.
Abstract
The increase in ecosystem biodiversity can be perceived as one of the universal processes converting energy into information across a wide range of living systems. This study delves into the dynamics of living systems, highlighting the distinction between ex-post adaptation, typically associated with natural selection, and its proactive counterpart, ex-ante adaptability. Through coalescence experiments using synthetic ecosystems, we (i) quantified an ecosystem stability, (ii) identified correlations between species richness and the stability, (iii) proposed a mechanism for increasing biodiversity through moderate inter-ecosystem interactions, and (iv) inferred that the information carrier of ecosystems is species composition, or merged genomic information. Additionally, we observed that (v) changes in ecosystems are constrained to a low-dimensional state space, with three distinct alteration trajectories—fluctuations, rapid environmental responses, and long-term changes—converging into this state space in common. These findings suggest that daily fluctuations may predict broader ecosystem changes. Our experimental insights, coupled with an exploration of living systems' information dynamics from an ecosystem perspective, enhance our predictive capabilities for natural ecosystem behavior, providing a universal framework for understanding a broad spectrum of living systems.
Biology and Life Sciences, Ecology, Evolution, Behavior and Systematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
