IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v404y2019icp103-111.html
   My bibliography  Save this article

From stand to landscape: modelling post-fire regeneration and species growth

Author

Listed:
  • Canelles, Q.
  • Aquilué, N.
  • Duane, A.
  • Brotons, L.

Abstract

Landscape models are comprehensive tools that allow for an understanding of landscape dynamics and a means of deriving future projections in the context of global change. Vegetation and ecological processes such as growth, death or regeneration are essential components of forest landscape dynamics, but their inclusion in landscape-level modelling frameworks is not straightforward as there is a trade-off between model feasibility, desirable complexity and the inclusion of relevant ecological processes. If models are to project future landscape dynamics, climatic influence on vegetation processes needs to be integrated; however, this usually leads to a major increment in model complexity. Here, a post-fire regeneration model (in terms of tree species) and a growth model (in terms of basal areas) is presented for Mediterranean forests including climate influences on such processes. The model captures vegetation dynamics at the stand level and accounts for post-fire regeneration and vegetation growth at the landscape level, with inclusion of the dynamically influencing effect of climate. The model was calibrated with 7709 inventory data plots and validated with 233 burned plots in the Mediterranean region of Catalonia (NE Spain). Results show that our model is able to accurately predict tree species post-fire regeneration and biomass growth. They also show that integration of climatic information represents a significant improvement on the predictive accuracy of the model. Overall, this study presents a generic approach to extend local vegetation dynamics information to the landscape level; furthermore, allowing the projection of vegetation dynamics under changing climatic conditions.

Suggested Citation

  • Canelles, Q. & Aquilué, N. & Duane, A. & Brotons, L., 2019. "From stand to landscape: modelling post-fire regeneration and species growth," Ecological Modelling, Elsevier, vol. 404(C), pages 103-111.
  • Handle: RePEc:eee:ecomod:v:404:y:2019:i:c:p:103-111
    DOI: 10.1016/j.ecolmodel.2019.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019301668
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Sharon B. Phillips & Viney P. Aneja & Daiwen Kang & S. Pal Arya, 2006. "Modelling and analysis of the atmospheric nitrogen deposition in North Carolina," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 6(2/3), pages 231-252.
    2. Aquilué, Núria & De Cáceres, Miquel & Fortin, Marie-Josée & Fall, Andrew & Brotons, Lluís, 2017. "A spatial allocation procedure to model land-use/land-cover changes: Accounting for occurrence and spread processes," Ecological Modelling, Elsevier, vol. 344(C), pages 73-86.
    3. Flores, Benito E, 1986. "A pragmatic view of accuracy measurement in forecasting," Omega, Elsevier, vol. 14(2), pages 93-98.
    4. Keane, Robert E. & McKenzie, Donald & Falk, Donald A. & Smithwick, Erica A.H. & Miller, Carol & Kellogg, Lara-Karena B., 2015. "Representing climate, disturbance, and vegetation interactions in landscape models," Ecological Modelling, Elsevier, vol. 309, pages 33-47.
    Full references (including those not matched with items on IDEAS)

    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:404:y:2019:i:c:p:103-111. See general information about how to correct material in RePEc.

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

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.