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Closed ecosystems extract energy through self-organized nutrient cycles

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arxiv 2305.19102 v1 pith:3UWWFDG6 submitted 2023-05-30 q-bio.PE nlin.AOq-bio.MN

classification q-bio.PEnlin.AOq-bio.MN
keywords energyclosedcommunitiescyclesecosystemsmatterorganismsfeatures
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abstract

Our planet is roughly closed to matter, but open to energy input from the sun. However, to harness this energy, organisms must transform matter from one chemical (redox) state to another. For example, photosynthetic organisms can capture light energy by carrying out a pair of electron donor and acceptor transformations (e.g., water to oxygen, CO$_2$ to organic carbon). Closure of ecosystems to matter requires that all such transformations are ultimately balanced, i.e., other organisms must carry out corresponding reverse transformations, resulting in cycles that are coupled to each other. A sustainable closed ecosystem thus requires self-organized cycles of matter, in which every transformation has sufficient thermodynamic favorability to maintain an adequate number of organisms carrying out that process. Here, we propose a new conceptual model that explains the self-organization and emergent features of closed ecosystems. We study this model with varying levels of metabolic diversity and energy input, finding that several thermodynamic features converge across ecosystems. Specifically, irrespective of their species composition, large and metabolically diverse communities self-organize to extract roughly 10% of the maximum extractable energy, or 100 fold more than randomized communities. Moreover, distinct communities implement energy extraction in convergent ways, as indicated by strongly correlated fluxes through nutrient cycles. As the driving force from light increases, however, these features -- fluxes and total energy extraction -- become more variable across communities, indicating that energy limitation imposes tight thermodynamic constraints on collective metabolism.

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  1. Ecosystems as adaptive living circuits

    q-bio.PE 2025-06 conditional novelty 7.0 of 10

    Ecosystems can be represented as circuits whose links grow with local energy dissipation, producing a sharp transition from collapse to a more complex, near-maximally dissipating state.

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