J. For. Sci., 2005, 51(6):244-255 | DOI: 10.17221/4560-JFS

Possible methods of Norway spruce (Picea abies[L.] Karst.) stem shape description

M. Křepela, D. Zahradník, J. Sequens
Faculty of Forestry and Environment, Czech University of Agriculture in Prague, Prague, Czech Republic

The paper shows a possibility of using Bookstein coordinates for stem shape studies. Bookstein coordinates are simplified to stem shape diameters, for which tests of multidimensional normality, variance-covariance matrix homogeneity, equality of mean shape vectors and principal component calculation are carried out in sample plots Doubravčice 1 and Štíhlice. Principal components are also calculated for Procrustes tangent coordinates, presented in graphs, and the plots are compared. Doubravčice 1 and Štíhlice plots differ especially in age (70 and 30 years) while they do not differ in tree class representation.

Keywords: Norway spruce (Picea abies [L.] Karst.); stem shape; Bookstein coordinates; stem shape diameters; Procrustes tangent coordinates; principal components analysis

Published: June 30, 2005  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Křepela M, Zahradník D, Sequens J. Possible methods of Norway spruce (Picea abies[L.] Karst.) stem shape description. J. For. Sci. 2005;51(6):244-255. doi: 10.17221/4560-JFS.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. BOOKSTEIN F.L., 1991. Morphometric Tools for Landmark Data. Cambridge, New York, Port Chester, Melbourne, Sydney, Cambridge University Press: 435.
    2. DRYDEN I.L., MARDIA K.V., 1998. Statistical Shape Analysis. Chichester, New York, Weinheim, Brisbane, Singapore, Toronto, John Wiley & Sons: 345.
    3. DRYDEN I.L., 2000. Statistical shape routines. University of Nottingham. http://www.maths.nottingham.ac.uk/personal/ild/Shape-R/Shape-R.html.
    4. KŘEPELA M., SEQUENS J., ZAHRADNÍK D., 2001. Dendrometric evaluation of stand structure and stem forms on Norway spruce (Picea abies [L.] Karst.) sample plots Doubravčice 1, 2, 3. Journal of Forest Science, 47: 419-427.
    5. KŘEPELA M., 2002. Point distribution form model for spruce stems (Picea abies [L.] Karst.). Journal of Forest Science, 48: 150-155. Go to original source...
    6. KŘEPELA M., SEQUENS J., ZAHRADNÍK D., 2004. A contribution to the knowledge of Scots pine (Pinus sylvestris L.) stem shape. Journal of Forest Science, 50: 211-218. Go to original source...
    7. MARDIA K.V., KENT J.T., BIBBY J.M., 1979. Multivariate Analysis. London, New York, Toronto, Sydney, San Francisco, Academic Press: 521.
    8. MELOUN M., MILITKÝ J., 1998. Statistické zpracování experimentálních dat. Praha, East Publishing: 839.
    9. PRODAN M., 1965. Holzmesslehre. Frankfurt am Main, J. D. Sauerländer's Verlag: 644.

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content