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A three-step procedure in SAS to analyze the time series from automatic dendrometers

Deslauriers Annie, Rossi Sergio, Turcotte Audrey, Morin Hubert et Krause Cornelia. (2011). A three-step procedure in SAS to analyze the time series from automatic dendrometers. Dendrochronologia, 29, (3), p. 151-161.

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URL officielle: http://dx.doi.org/doi:10.1016/j.dendro.2011.01.008

Résumé

Continuous measurements of stem radius variation in trees are obtained with automatic dendrometers that provide time series composed of seasonal tree growth and circadian rhythms of water storage and depletion. Several variables can be extracted from the raw data, such as amplitude and duration of radius increase and contraction, which are useful for understanding intra-annual tree growth, tree physiology and for performing growth-climate relationships. These measurements constitute a large dataset whose manipulation needs numerous algorithms and automatic procedures to efficiently and rapidly extract the information. This paper presents a three-step procedure using two SAS routines to extract the time series describing radius variation and associate them with environmental parameters. The first routine organizes and corrects data and generates outputs in the form of files and plots to visualize the results and improve data correction (first step). The second step consists of a reclassification of the hours of contraction or expansion that have been misclassified by the automatic process. The second routine classifies the daily patterns of stem variation into the three phases of contraction, expansion and radius increment and associates the environmental parameters (third step). An example of the procedure is given, with an explanation of the outputs generated. The advantages and shortcomings of the procedure and its importance for the intra-annual analyses of tree growth are discussed.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:11257865 (ISSN)
Volume:29
Numéro:3
Pages:p. 151-161
Version évaluée par les pairs:Oui
Date:2011
Sujets:Sciences naturelles et génie > Sciences appliquées > Foresterie et sciences du bois
Sciences naturelles et génie > Sciences mathématiques > Statistiques
Sciences naturelles et génie > Sciences naturelles > Biologie et autres sciences connexes
Département, module, service et unité de recherche:Départements et modules > Département des sciences fondamentales
Mots-clés:Data analysis, SAS, stem cycle approach, stem radius variation
Déposé le:09 juin 2016 19:42
Dernière modification:05 déc. 2016 20:32
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