IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v273y2014icp277-283.html
   My bibliography  Save this article

An exergy-based analysis of the co-evolution of different species sharing common resources

Author

Listed:
  • Sciubba, Enrico
  • Zullo, Federico

Abstract

We consider a set of species feeding on the same exergy resources. The balance equations for the allocation of such resources among the species result in a set of non linear differential equations describing the dynamics of each population. We address the important question of optimal exploitation of the incoming exergy resource at the species- and ecological niche level: more specifically, after a formal definition of the exergy effectiveness of the conversion for the overall system and for each species, we search for the – unique or multiple – set of values of the model parameters that may lead to a sustainable situation in which all of the species survive and – together – optimally exploit the incoming exergy flux. The analytical results will be discussed both qualitatively and, for a 2-species case, quantitatively.

Suggested Citation

  • Sciubba, Enrico & Zullo, Federico, 2014. "An exergy-based analysis of the co-evolution of different species sharing common resources," Ecological Modelling, Elsevier, vol. 273(C), pages 277-283.
  • Handle: RePEc:eee:ecomod:v:273:y:2014:i:c:p:277-283
    DOI: 10.1016/j.ecolmodel.2013.10.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438001300478X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.10.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Enrico Sciubba & Federico Zullo, 2012. "An Exergy-Based Model for Population Dynamics: Adaptation, Mutualism, Commensalism and Selective Extinction," Sustainability, MDPI, vol. 4(10), pages 1-19, October.
    2. Sciubba, Enrico, 2011. "What did Lotka really say? A critical reassessment of the “maximum power principle”," Ecological Modelling, Elsevier, vol. 222(8), pages 1347-1353.
    3. Enrico Sciubba & Federico Zullo, 2011. "Exergy‐Based Population Dynamics: A Thermodynamic View of the Sustainability Concept," Journal of Industrial Ecology, Yale University, vol. 15(2), pages 172-184, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katharina Hecht & Abraham Ortega Reboso & Michelle van der Vegt & Jaco Appelman & Maibritt Pedersen Zari, 2024. "Ecologically Regenerative Building Systems through Exergy Efficiency: Designing for Structural Order and Ecosystem Services," Land, MDPI, vol. 13(9), pages 1-18, August.
    2. Sciubba, Enrico, 2019. "Exergy-based ecological indicators: From Thermo-Economics to cumulative exergy consumption to Thermo-Ecological Cost and Extended Exergy Accounting," Energy, Elsevier, vol. 168(C), pages 462-476.
    3. Sciubba, Enrico, 2020. "Shape from function: The exergy cost of viscous flow in bifurcated diabatic tubes," Energy, Elsevier, vol. 213(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grubbström, Robert W., 2015. "On the true value of resource consumption when using energy in industrial and other processes," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 377-384.
    2. Herrmann-Pillath, Carsten, 2018. "The Case for a New Discipline: Technosphere Science," Ecological Economics, Elsevier, vol. 149(C), pages 212-225.
    3. Lucia, Umberto & Sciubba, Enrico, 2013. "From Lotka to the entropy generation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3634-3639.
    4. Attorre, F. & Sciubba, E. & Vitale, M., 2019. "A thermodynamic model for plant growth, validated with Pinus sylvestris data," Ecological Modelling, Elsevier, vol. 391(C), pages 53-62.
    5. Liao, Wenjie & Heijungs, Reinout & Huppes, Gjalt, 2012. "Thermodynamic analysis of human–environment systems: A review focused on industrial ecology," Ecological Modelling, Elsevier, vol. 228(C), pages 76-88.
    6. Victor Court, 2018. "Energy Capture, Technological Change, and Economic Growth: An Evolutionary Perspective," Biophysical Economics and Resource Quality, Springer, vol. 3(3), pages 1-27, September.
    7. Victor Court, 2019. "An Estimation of Different Minimum Exergy Return Ratios Required for Society," Biophysical Economics and Resource Quality, Springer, vol. 4(3), pages 1-13, September.
    8. Sciubba, Enrico & Zullo, Federico, 2013. "Stable and periodic solutions of an exergy-based model of population dynamics," Energy, Elsevier, vol. 58(C), pages 202-209.
    9. Kaan Ozgun & Ian Weir & Debra Cushing, 2015. "Optimal Electricity Distribution Framework for Public Space: Assessing Renewable Energy Proposals for Freshkills Park, New York City," Sustainability, MDPI, vol. 7(4), pages 1-21, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:273:y:2014:i:c:p:277-283. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.