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The free energy and information embodied in the amino acid chains of organisms

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  • Jørgensen, Sven Erik
  • Ludovisi, Alessandro
  • Nielsen, Søren Nors

Abstract

It is generally accepted as a useful and workable hypothesis that when an ecosystem receives an inflow of exergy (energy that can do work) it will utilize this flow of exergy to move as far away from thermodynamic equilibrium as possible after the exergy (energy) for maintenance has been covered. If more combinations of system components including organisms are offered, the combination of components and processes that will bring the system most away from thermodynamic equilibrium will win.

Suggested Citation

  • Jørgensen, Sven Erik & Ludovisi, Alessandro & Nielsen, Søren Nors, 2010. "The free energy and information embodied in the amino acid chains of organisms," Ecological Modelling, Elsevier, vol. 221(19), pages 2388-2392.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:19:p:2388-2392
    DOI: 10.1016/j.ecolmodel.2010.06.003
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    References listed on IDEAS

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    1. Zhang, Jingjie & Gurkan, Zeren & Jørgensen, Sven Erik, 2010. "Application of eco-exergy for assessment of ecosystem health and development of structurally dynamic models," Ecological Modelling, Elsevier, vol. 221(4), pages 693-702.
    2. Ludovisi, Alessandro & Jørgensen, Sven Erik, 2009. "Comparison of exergy found by a classical thermodynamic approach and by the use of the information stored in the genome," Ecological Modelling, Elsevier, vol. 220(16), pages 1897-1903.
    3. Ludovisi, A., 2009. "Exergy vs information in ecological successions: Interpreting community changes by a classical thermodynamic approach," Ecological Modelling, Elsevier, vol. 220(13), pages 1566-1577.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jørgensen, S.E. & Nielsen, S.N., 2014. "Use of eco-exergy in ecological networks," Ecological Modelling, Elsevier, vol. 293(C), pages 202-209.
    2. Jørgensen, Sven Erik, 2015. "New method to calculate the work energy of information and organisms," Ecological Modelling, Elsevier, vol. 295(C), pages 18-20.
    3. Villaescusa, Juan Antonio & Jørgensen, Sven Erik & Rochera, Carlos & Velázquez, David & Quesada, Antonio & Camacho, Antonio, 2016. "Carbon dynamics modelization and biological community sensitivity to temperature in an oligotrophic freshwater Antarctic lake," Ecological Modelling, Elsevier, vol. 319(C), pages 21-30.
    4. Küçük, Kübra & Tevatia, Rahul & Sorgüven, Esra & Demirel, Yaşar & Özilgen, Mustafa, 2015. "Bioenergetics of growth and lipid production in Chlamydomonas reinhardtii," Energy, Elsevier, vol. 83(C), pages 503-510.
    5. Ludovisi, Alessandro & Roselli, Leonilde & Basset, Alberto, 2012. "Testing the effectiveness of exergy-based tools on a seasonal succession in a coastal lagoon by using a size distribution approach," Ecological Modelling, Elsevier, vol. 245(C), pages 125-135.
    6. Jørgensen, Sven E. & Nielsen, Søren Nors & Fath, Brian D., 2016. "Recent progress in systems ecology," Ecological Modelling, Elsevier, vol. 319(C), pages 112-118.
    7. Marchi, Michela & Jørgensen, Sven Erik & Bécares, Eloy & Corsi, Ilaria & Marchettini, Nadia & Bastianoni, Simone, 2011. "Dynamic model of Lake Chozas (León, NW Spain)—Decrease in eco-exergy from clear to turbid phase due to introduction of exotic crayfish," Ecological Modelling, Elsevier, vol. 222(16), pages 3002-3010.
    8. Straškraba, Milan & Jørgensen, Sven E. & Patten, Bernard C., 2014. "Ecosystems emerging: 6. Differentiation," Ecological Modelling, Elsevier, vol. 278(C), pages 29-51.

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