Information dynamics and the emergence of high-order individuality in ecosystems

At what level does natural selection occur? When considering the reproductive dynamics of interacting and mutating agents, it has long been debated whether selection is better understood by focusing on the individual or if hierarchical selection emerges as a consequence of joint adaptation. Despite longstanding efforts in theoretical ecology, there is still no consensus on this fundamental issue, most likely due to the difficulty in obtaining adequate data spanning a sufficient number of generations and the lack of adequate tools to quantify the effect of hierarchical selection. Here, we capitalise on recent advances in information-theoretic data analysis to advance this state of affairs by investigating the emergence of high-order structures- such as groups of species- in the collective dynamics of the Tangled Nature model of evolutionary ecology. Our results show that evolutionary dynamics can lead to clusters of species that act as a self-perpetuating group that exhibits greater information-theoretic agency than a single species for a broad range of stable mutation rates. However, this higher-order organization breaks down for mutation rates close to the error threshold, where increased information processing is observed at the level of a single species. For mutation rates higher than the error threshold, no stable population of species are observed in time, and all individuality is lost in the ecosystem. Overall, our findings provide quantitative evidence supporting the emergence of higher-order structures in evolutionary ecology from relatively simple processes of adaptation and reproduction.

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Journal
Communications Biology
Published
2025-08-15
DOI
https://doi.org/10.1038/s42003-025-08619-2
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00

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article

Information dynamics and the emergence of high-order individuality in ecosystems

Fernando E. Rosas, Eduardo Viegas, Pablo A. Marquet, Henrik Jeldtoft Jensen et al.
2 links
Communications Biology
Evolutionary Game Theory and Cooperation
article

Information dynamics and the emergence of high-order individuality in ecosystems

Fernando E. Rosas, Eduardo Viegas, Pablo A. Marquet, Henrik Jeldtoft Jensen, Hardik Rajpal, Pedro A. M. Mediano, Clem von Stengel
article en

Abstract

At what level does natural selection occur? When considering the reproductive dynamics of interacting and mutating agents, it has long been debated whether selection is better understood by focusing on the individual or if hierarchical selection emerges as a consequence of joint adaptation. Despite longstanding efforts in theoretical ecology, there is still no consensus on this fundamental issue, most likely due to the difficulty in obtaining adequate data spanning a sufficient number of generations and the lack of adequate tools to quantify the effect of hierarchical selection. Here, we capitalise on recent advances in information-theoretic data analysis to advance this state of affairs by investigating the emergence of high-order structures- such as groups of species- in the collective dynamics of the Tangled Nature model of evolutionary ecology. Our results show that evolutionary dynamics can lead to clusters of species that act as a self-perpetuating group that exhibits greater information-theoretic agency than a single species for a broad range of stable mutation rates. However, this higher-order organization breaks down for mutation rates close to the error threshold, where increased information processing is observed at the level of a single species. For mutation rates higher than the error threshold, no stable population of species are observed in time, and all individuality is lost in the ecosystem. Overall, our findings provide quantitative evidence supporting the emergence of higher-order structures in evolutionary ecology from relatively simple processes of adaptation and reproduction.

Communications BiologyVol. 8(1)
Tokyo Institute of Technology (JP), Santa Fe Institute (US), Pontificia Universidad Católica de Chile (CL), University of Sussex (GB), Charles University (CZ), University of Oxford (GB), NIHR Imperial Biomedical Research Centre (GB), The Alan Turing Institute (GB), Complex Engineering System Institute (CL), University College London (GB), Imperial College London (GB), University of Chile (CL)
Univerzita Karlova v Praze, Alan Turing Institute, University of Kent, Universiteit van Amsterdam, Agencia Nacional de Investigación y Desarrollo, Engineering and Physical Sciences Research Council, Economic and Social Research Council
Openalex Percentile: Top 72%
Evolutionary Game Theory and Cooperation
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