A dendrochronology program library in R (dplR)
By A. Bunn. 2008
1,878 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/8c89b9ba5cb9f90a84a87d6c6510806ab91b9809
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- S. Klesse
- Hans Pretzsch
- David A. Orwig
- K. Dodds
- Enno Uhl
- E. Thurm
- Marion Durand-Gillmann
- M. Cailleret
In Global and Planetary Change
In Management, Monitoring, Policy and Law
- S. Klesse
- K. Dodds
- David A. Orwig
- Hans Pretzsch
- Enno Uhl
- E. Thurm
- Marion Durand-Gillmann
- Mikko Korpela
Citations in the corpus
- Mixture reduces climate sensitivity of Douglas-fir stem growth (2016, methodology): “For the descriptive core statistics and the calculation of the cubic spline we used the package dplR (Bunn, 2008, 2010).”
- Drought-induced decline and mortality of silver fir differ among three sites in Southern France (2013, methodology): “MASS was used for the selection of models by Akaike information criterion in a stepwise algorithm (stepAIC) and dplR package for dendrochronological analysis (Bunn 2008).”
- Statistical and visual crossdating in R using the dplR library (2010, methodology): “The Dendrochronology Program Library in R (dplR) (Bunn, 2008) is an open-source package used within the R statistical programming environment (R Development Core Team, 2009).”
- Using simulations and data to evaluate mean sensitivity (ζ) as a useful statistic in dendrochronology (2013, methodology): “All analysis was done in the R programming environment (R Development Core Team, 2012) using the dplR library (Bunn, 2008; Bunn et al., 2012).”
- Critical note on the application of the “two-third” spline (2021, methodology): “…reconstructions of Scandinavia (Briffa et al., 1990) and Western North America (Briffa et al., 1992b) With the integration of the Dendrochronology Program Library into the R environment decades later (dplR, Bunn, 2008) the 2/3S was set as the default for detrending with a cubic smoothing spline.”
- Regional growth decline of sugar maple (Acer saccharum) and its potential causes (2015, methodology): “We calculated basal area increment (BAI) for individual trees using the bai.out function in the dplR package (Bunn 2008).”
- Species mixing reduces drought susceptibility of Scots pine (Pinus sylvestris L.) and oak (Quercus robur L., Quercus petraea (Matt.) Liebl.) – Site water supply and fertility modify the mixing effect (2020, methodology): “To assess the reliability of the de-trended bai series, the appropriate descriptive statistics were computed by use of the R -package dplR (Bunn, 2008) (Table A3).”
- An invasive urban forest pest invades natural environments — Asian longhorned beetle in northeastern US hardwood forests (2011, methodology): “To remove age-related growth trends, raw ring width data for each tree were detrended by fitting either a modified negative exponential curve or a horizontal line using the dplR computer package (Bunn 2008) within the R statistical programming environment (R Development Core Team 2009).”