IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v220y2009i5p734-746.html
   My bibliography  Save this article

A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations

Author

Listed:
  • Miehle, Peter
  • Battaglia, Michael
  • Sands, Peter J.
  • Forrester, David I.
  • Feikema, Paul M.
  • Livesley, Stephen J.
  • Morris, Jim D.
  • Arndt, Stefan K.

Abstract

In forest management and ecological research, consideration of the impacts and risks of climate change or management optimisation is complex. Computer models have long been applied as tools for these tasks. Process-based forest growth models claim to overcome the limitations of empirical statistical models, but the capacity of different process-based models and modelling approaches have rarely been compared directly. This study evaluates stepwise multiple regression models in comparison to four process-based modelling approaches (3-PG, 3-PG+, CABALA and Forest-DNDC) for greenfield predictions of Eucalyptus globulus plantation growth from 2 to 8 years after planting throughout southern Australia.

Suggested Citation

  • Miehle, Peter & Battaglia, Michael & Sands, Peter J. & Forrester, David I. & Feikema, Paul M. & Livesley, Stephen J. & Morris, Jim D. & Arndt, Stefan K., 2009. "A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations," Ecological Modelling, Elsevier, vol. 220(5), pages 734-746.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:5:p:734-746
    DOI: 10.1016/j.ecolmodel.2008.12.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380008005875
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2008.12.010?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. Ngugi, Michael R. & Botkin, Daniel B., 2011. "Validation of a multispecies forest dynamics model using 50-year growth from Eucalyptus forests in eastern Australia," Ecological Modelling, Elsevier, vol. 222(17), pages 3261-3270.
    2. Forrester, David I. & Tang, Xiaolu, 2016. "Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model," Ecological Modelling, Elsevier, vol. 319(C), pages 233-254.
    3. Simant Rimal & Marc Djahangard & Rasoul Yousefpour, 2022. "Forest Management under Climate Change: A Decision Analysis of Thinning Interventions for Water Services and Biomass in a Norway Spruce Stand in South Germany," Land, MDPI, vol. 11(3), pages 1-18, March.
    4. M. Ashraf & Charles Bourque & David MacLean & Thom Erdle & Fan-Rui Meng, 2015. "Estimation of potential impacts of climate change on growth and yield of temperate tree species," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(1), pages 159-178, January.
    5. Elli, Elvis Felipe & Huth, Neil & Sentelhas, Paulo Cesar & Carneiro, Rafaela Lorenzato & Alvares, Clayton Alcarde, 2020. "Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments," Ecological Modelling, Elsevier, vol. 419(C).
    6. Gupta, Rajit & Sharma, Laxmi Kant, 2019. "The process-based forest growth model 3-PG for use in forest management: A review," Ecological Modelling, Elsevier, vol. 397(C), pages 55-73.
    7. Wang, Weifeng & Peng, Changhui & Zhang, S.Y. & Zhou, Xiaolu & Larocque, Guy R. & Kneeshaw, Daniel D. & Lei, Xiangdong, 2011. "Development of TRIPLEX-Management model for simulating the response of forest growth to pre-commercial thinning," Ecological Modelling, Elsevier, vol. 222(14), pages 2249-2261.
    8. Battaglia, M. & Pinkard, E.A. & Sands, P.J. & Bruce, J.L. & Quentin, A., 2011. "Modelling the impact of defoliation and leaf damage on forest plantation function and production," Ecological Modelling, Elsevier, vol. 222(17), pages 3193-3202.

    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:220:y:2009:i:5:p:734-746. 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.