dendrometeR: Analyzing the pulse of trees in R

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• 作者：Ernst van der Maaten^a ; ^{ernst.vandermaaten@uni-greifswald.de} ; ^{ernst.vandermaaten@gmail.com} ; Marieke van der Maaten-Theunissen^a ; Marko Smiljanić^a ; Sergio Rossi^b ; ^c ; Sonia Simard^d ; Martin Wilmking^a ; Annie Deslauriers^b ; Patrick Fonti^e ; Georg von Arx^e ; Olivier Bouriaud^f
• 关键词：Stem-size variation ; Data analysis ; Tree-growth monitoring ; Tree water status ; Dendrometer ; Radial growth
• 刊名：Dendrochronologia
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：40
• 期：Complete
• 页码：12-16
• 全文大小：469 K
• 卷排序：40

文摘

Dendrometers are measurement devices proven to be useful to analyze tree water relations and growth responses in relation to environmental variability. To analyze dendrometer data, two analytical methods prevail: (1) daily approaches that calculate or extract single values per day, and (2) stem-cycle approaches that separate high-resolution dendrometer records into distinct phases of contraction, expansion and stem-radius increment. Especially the stem-cycle approach requires complex algorithms to disentangle cyclic phases. Here, we present an R package, named dendrometeR, that facilitates the analysis of dendrometer data using both analytical methods. By making the package freely available, we make a first step towards comparable and reproducible methods to analyze dendrometer data. The package contains customizable functions to prepare, verify, process and plot dendrometer series, as well as functions that facilitate the analysis of dendrometer data (i.e. daily statistics or extracted phases) in relation to environmental data. The functionality of dendrometeR is illustrated in this note.