… to consider a diversity of climate window characteristics in our analyses, changes in many
of … used in climwin; therefore, we will focus specifically here on the use of mean climate at a …

… regressions, testing all possible climate windows for each climate-growth/anatomy relationship,
were fitted using climwin and weekly-resolved climate variables to obtain the probably …

… growth and wood anatomy features and the most relevant time window (the most influential
period of the year for individual climate variables), we fitted simple linear regressions …

… 3, we illustrate how the function ‘slidingwin’ from the climwin … available in climwin to select
the best weather window models … This analysis should thus be taken as a first step towards …

… , climwin analyses detected longer climatic-time windows of influence of growth than correlation
analyses (Figs. … the detected climatic-time windows of growth with analogous analyses of …

… a sliding window approach through the R package climwin to identify potential periods of
climate … model used in the climwin sliding window analysis, excluding the climate variables. …

… detect a period of climate sensitivity (climate window) for a given biological response, and
visualise the detected climate window. The functions provided in climwin allow users to select …

… windows and monthly periods based on “climwin” analyses. … climwin” package in R v 3.6.2.
to identify the best climate predictors of growth and to select the most relevant climate window …

… , the “climwin” package in R 4.3.2 was used to identify the climate factors and windows that
… The study found that both the Pearson correlation analysis and “climwin” climate response …