Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
85533 | Dendrochronologia | 2016 | 5 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Ernst van der Maaten, Marieke van der Maaten-Theunissen, Marko SmiljaniÄ, Sergio Rossi, Sonia Simard, Martin Wilmking, Annie Deslauriers, Patrick Fonti, Georg von Arx, Olivier Bouriaud,