Application of longitudinal analysis to the analysis of height increment of pine stands – simulated data

Bogna Zawieja

Biometrical Letters (2012)

  • Volume: 49, Issue: 2, page 121-134
  • ISSN: 1896-3811

Abstract

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One of the most important characteristics in determining the dendrometrical properties of a stand is the annual height increment of the trees. On the basis of these increments, natural phases of the trees’ life are defined. In the present study the data concern the height increments of the main trunk of 25-year-old Scots pine, as well as simulated data. Our research deals with the application of longitudinal data analysis. This analysis is usually used when measurements are taken at the same treatments at different time points. The calculations performed provide answers to the question of which annual height increments differ.

How to cite

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Bogna Zawieja. "Application of longitudinal analysis to the analysis of height increment of pine stands – simulated data." Biometrical Letters 49.2 (2012): 121-134. <http://eudml.org/doc/268913>.

@article{BognaZawieja2012,
abstract = {One of the most important characteristics in determining the dendrometrical properties of a stand is the annual height increment of the trees. On the basis of these increments, natural phases of the trees’ life are defined. In the present study the data concern the height increments of the main trunk of 25-year-old Scots pine, as well as simulated data. Our research deals with the application of longitudinal data analysis. This analysis is usually used when measurements are taken at the same treatments at different time points. The calculations performed provide answers to the question of which annual height increments differ.},
author = {Bogna Zawieja},
journal = {Biometrical Letters},
keywords = {contrast; height increment; longitudinal data analysis; Scots pine (Pinus sylvestris)},
language = {eng},
number = {2},
pages = {121-134},
title = {Application of longitudinal analysis to the analysis of height increment of pine stands – simulated data},
url = {http://eudml.org/doc/268913},
volume = {49},
year = {2012},
}

TY - JOUR
AU - Bogna Zawieja
TI - Application of longitudinal analysis to the analysis of height increment of pine stands – simulated data
JO - Biometrical Letters
PY - 2012
VL - 49
IS - 2
SP - 121
EP - 134
AB - One of the most important characteristics in determining the dendrometrical properties of a stand is the annual height increment of the trees. On the basis of these increments, natural phases of the trees’ life are defined. In the present study the data concern the height increments of the main trunk of 25-year-old Scots pine, as well as simulated data. Our research deals with the application of longitudinal data analysis. This analysis is usually used when measurements are taken at the same treatments at different time points. The calculations performed provide answers to the question of which annual height increments differ.
LA - eng
KW - contrast; height increment; longitudinal data analysis; Scots pine (Pinus sylvestris)
UR - http://eudml.org/doc/268913
ER -

References

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  1. Assmann E. (1968): Nauka o produkcyjności lasu [Forest yield science]. PWRiL, Warszawa. [in Polish]. 
  2. Graczyk M., Kaźmierczak K., Zawieja B. (2010): The longitudinal analysis applied to the analysis of height increment of pine stands. Biometrical Letters 47(2): 199-128. 
  3. Kaźmierczak K., Zawieja B. (2008): An attempt to assess the correlation between lengthwise growth of the main shoot in 24-year old Scots pines (Pinus sylvestris L) on the growth of lateral branches. Biometrical Letters 45(1): 81-92. 
  4. Krzyśko M. (2000): Wielowymiarowa analiza statystyczna. [Multivariate statistical analysis] Wydawnictwo UAM Poznań. [in Polish]. 
  5. Lemke J. (1971): Przydatność niektórych cech dendrometrycznych do wyboru przyrostowych drzew próbnych w drzewostanach sosnowych [Suitability of certain dendrometric traits in the selection of increment mean sample trees in pine stands]. Pr. Kom. Nauk Roln. Nauk Leśn. PTPN 32: 57-72. [in Polish]. 
  6. Morison D.F. (1990): Wielowymiarowa Analiza Statystyczna [Multivariate statistical methods]. PWN, Warszawa. [in Polish]. 
  7. Roy S.N., Bose R.C. (1953): Simultaneous confidence intervals estimation. Annals of Mathematical Statistics 24: 513 - 538.[Crossref] Zbl0052.15403
  8. Royston J.P. (1983): Some techniques for assessing multivariate normality based on the Shapiro-Wilk W. Applied Statistics 32: 121-133. [Crossref] Zbl0536.62043

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