IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/v65y2019i4id5-2019-jfs.html
   My bibliography  Save this article

Height-diameter relationship for Pinus koraiensis in Mengjiagang Forest Farm of Northeast China using nonlinear regressions and artificial neural network models

Author

Listed:
  • Nguyen Thanh Tuan

    (Department of Forestry, Vietnam National University of Forestry, Dong Nai, Vietnam)

  • Tai Tien Dinh

    (Institute of Resources and Environment, Hue University, Hue, Vietnam)

  • Shen Hai Long

    (School of Forestry, Northeast Forestry University, Harbin, P.R. China)

Abstract

Korean pine (Pinus koraiensis Sieb. et Zucc.) is one of the highly commercial woody species in Northeast China. In this study, six nonlinear equations and artificial neural network (ANN) models were employed to model and validate height-diameter (H-DBH) relationship in three different stand densities of one Korean pine plantation. Data were collected in 12 plots in a 43-year-old even-aged stand of P. koraiensis in Mengjiagang Forest Farm, China. The data were randomly split into two datasets for model development (9 plots) and for model validation (3 plots). All candidate models showed a good perfomance in explaining H-DBH relationship with error estimation of tree height ranging from 0.61 to 1.52 m. Especially, ANN models could reduce the root mean square error (RMSE) by the highest 40%, compared with Power function for the density level of 600 trees. In general, our results showed that ANN models were superior to other six nonlinear models. The H-DBH relationship appeared to differ between stand density levels, thus it is necessary to establish H-DBH models for specific stand densities to provide more accurate estimation of tree height.

Suggested Citation

  • Nguyen Thanh Tuan & Tai Tien Dinh & Shen Hai Long, 2019. "Height-diameter relationship for Pinus koraiensis in Mengjiagang Forest Farm of Northeast China using nonlinear regressions and artificial neural network models," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(4), pages 134-143.
    • Handle: RePEc:caa:jnljfs:v:65:y:2019:i:4:id:5-2019-jfs
    DOI: 10.17221/5/2019-JFS
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/5/2019-JFS.html
    Download Restriction: free of charge
    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/5/2019-JFS.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/5/2019-JFS?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. Mohammad Rasoul Nazari Sendi & Iraj Hassanzad Navroodi & Aman Mohammad Kalteh, . "Estimation of Fagus orientalis Lipsky height using nonlinear models in Hyrcanian forests, Iran," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 0.
    2. Mohammad Rasoul Nazari Sendi & Iraj Hassanzad Navroodi & Aman Mohammad Kalteh, 2023. "Estimation of Fagus orientalis Lipsky height using nonlinear models in Hyrcanian forests, Iran," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(10), pages 415-426.

    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:caa:jnljfs:v:65:y:2019:i:4:id:5-2019-jfs. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.