VanVanSmiljanicEtAl2016

Référence

Van der Maaten, E., Van der Maaten-Theunissen, M., Smiljanic, M., Rossi, S., Simard, S., Wilmking, M., Deslauriers, A., Fonti, P., von Arx, G., Bouriaud, O. (2016) DendrometeR: Analyzing the pulse of trees in R. Dendrochronologia, 40:12-16. (Scopus )

Résumé

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. © 2016 Elsevier GmbH.

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@ARTICLE { VanVanSmiljanicEtAl2016,
    AUTHOR = { Van der Maaten, E. and Van der Maaten-Theunissen, M. and Smiljanic, M. and Rossi, S. and Simard, S. and Wilmking, M. and Deslauriers, A. and Fonti, P. and von Arx, G. and Bouriaud, O. },
    TITLE = { DendrometeR: Analyzing the pulse of trees in R },
    JOURNAL = { Dendrochronologia },
    YEAR = { 2016 },
    VOLUME = { 40 },
    PAGES = { 12-16 },
    NOTE = { cited By 0 },
    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. © 2016 Elsevier GmbH. },
    AUTHOR_KEYWORDS = { Data analysis; Dendrometer; Radial growth; Stem-size variation; Tree water status; Tree-growth monitoring },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.dendro.2016.06.001 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973321151&partnerID=40&md5=628f4b5c759c722b0933c2989851cda5 },
}

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