IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v498y2024ics0304380024002540.html
   My bibliography  Save this article

New insights to be gained from a Virtual Ecosystem

Author

Listed:
  • Ewers, Robert M.
  • Cook, Jacob
  • Daniel, Olivia Z.
  • Orme, C.David L.
  • Groner, Vivienne
  • Joshi, Jaideep
  • Rallings, Anna
  • Rallings, Taran
  • Amarasekare, Priyanga

Abstract

The myriad interactions among individual plants, animals, microbes and their abiotic environment generate emergent phenomena that will determine the future of life on Earth. Here, we argue that holistic ecosystem models – incorporating key biological domains and feedbacks between biotic and abiotic processes and capable of predicting emergent phenomena – are required if we are to understand the functioning of complex, terrestrial ecosystems in a rapidly changing planet. We argue that holistic ecosystem models will provide a framework for integrating the many approaches used to study ecosystems, including biodiversity science, population and community ecology, soil science, biogeochemistry, hydrology and climate science. Holistic models will provide new insights into the nature and importance of feedbacks that cut across scales of space and time, and that connect ecosystem domains such as microbes with animals or above with below ground. They will allow us to critically examine the origins and maintenance of ecosystem stability, resilience and sustainability through the lens of systems theory, and provide a much-needed boost for conservation and the management of natural environments. We outline our approach to developing a holistic ecosystem model – the Virtual Ecosystem – and argue that while the construction of such complex models is obviously ambitious, it is both feasible and necessary.

Suggested Citation

  • Ewers, Robert M. & Cook, Jacob & Daniel, Olivia Z. & Orme, C.David L. & Groner, Vivienne & Joshi, Jaideep & Rallings, Anna & Rallings, Taran & Amarasekare, Priyanga, 2024. "New insights to be gained from a Virtual Ecosystem," Ecological Modelling, Elsevier, vol. 498(C).
  • Handle: RePEc:eee:ecomod:v:498:y:2024:i:c:s0304380024002540
    DOI: 10.1016/j.ecolmodel.2024.110866
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024002540
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110866?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.

    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:498:y:2024:i:c:s0304380024002540. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.