Evidence map›Paper›PMID 20368260›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2010

Ecosystem biogeochemistry considered as a distributed metabolic network ordered by maximum entropy production.

Joseph J Vallino

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Enzyme Catalytic Parameters and Evolution Across the Dissipation Plane.International journal of molecular sciences · 2026
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  6. Review
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  8. Thermodynamics in Ecology-An Introductory Review.Entropy (Basel, Switzerland) · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Viral information.Biology & philosophy · 2013
    Article
  13. Article
  14. It is not the entropy you produce, rather, how you produce it.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Article
  15. Maximum entropy production in environmental and ecological systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Joseph J VallinoMarine Biological Laboratory, Ecosystems Center, Woods Hole, MA 02543, USA. jvallino@mbl.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examine the application of the maximum entropy production principle for describing ecosystem biogeochemistry. Since ecosystems can be functionally stable despite changes in species composition, we use a distributed metabolic network for describing biogeochemistry, which synthesizes generic biological structures that catalyse reaction pathways, but is otherwise organism independent. Allocation of biological structure and regulation of biogeochemical reactions is determined via solution of an optimal control problem in which entropy production is maximized. However, because synthesis of biological structures cannot occur if entropy production is maximized instantaneously, we propose that information stored within the metagenome allows biological systems to maximize entropy production when averaged over time. This differs from abiotic systems that maximize entropy production at a point in space-time, which we refer to as the steepest descent pathway. It is the spatio-temporal averaging that allows biological systems to outperform abiotic processes in entropy production, at least in many situations. A simulation of a methanotrophic system is used to demonstrate the approach. We conclude with a brief discussion on the implications of viewing ecosystems as self-organizing molecular machines that function to maximize entropy production at the ecosystem level of organization.

Indexed as

BiochemistryEcosystemEnergy MetabolismEntropyModels, BiologicalBiological EvolutionClimateComputer SimulationMethaneMethane

Identifiers

PMID20368260
PMCPMC2871896

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.