IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i19p3598-3602.html
   My bibliography  Save this article

A new scheme for initializing process-based ecosystem models by scaling soil carbon pools

Author

Listed:
  • Hashimoto, S.
  • Wattenbach, M.
  • Smith, P.

Abstract

Process-based ecosystem models are useful tools, not only for understanding the forest carbon cycle, but also for predicting future change. In order to apply a model to simulate a specific time period, model initialization is required. In this study, we propose a new scheme of initialization for forest ecosystem models, which we term a “slow-relaxation scheme”, that entails scaling of the soil carbon and nitrogen pools slowly during the spin-up period. The proposed slow-relation scheme was tested with the CENTURY version 4 ecosystem model. Three different combinations of scaled soil pools were also tested, and compared to the results from a fast-relaxation regime. The fast-relaxation of soil pools produced unstable, transient model behaviour whereas slow-relaxation overcame this instability. This approach holds promise for initializing ecosystem models, and for starting simulations with more realistic initial conditions.

Suggested Citation

  • Hashimoto, S. & Wattenbach, M. & Smith, P., 2011. "A new scheme for initializing process-based ecosystem models by scaling soil carbon pools," Ecological Modelling, Elsevier, vol. 222(19), pages 3598-3602.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:19:p:3598-3602
    DOI: 10.1016/j.ecolmodel.2011.08.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011004285
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.08.011?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.

    Citations

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


    Cited by:

    1. Yeste, Antonio & Seely, Brad & Imbert, J. Bosco & Blanco, Juan A., 2024. "Sensitivity of long-term productivity estimations in mixed forests to uncertain parameters related to fine roots," Ecological Modelling, Elsevier, vol. 490(C).
    2. Lo, Yueh-Hsin & Blanco, Juan A. & Canals, Rosa M. & González de Andrés, Ester & San Emeterio, Leticia & Imbert, J. Bosco & Castillo, Federico J., 2015. "Land use change effects on carbon and nitrogen stocks in the Pyrenees during the last 150 years: A modeling approach," Ecological Modelling, Elsevier, vol. 312(C), pages 322-334.
    3. Wong, H. & Hillier, J. & Clark, D.B. & Smith, J. & Smith, P., 2013. "An explicit and computationally efficient method to initialise first-order-based soil organic matter models—The Geometric Series Solution (GSS)," Ecological Modelling, Elsevier, vol. 267(C), pages 48-53.

    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:222:y:2011:i:19:p:3598-3602. 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.