chillR: Statistical Methods for Phenology Analysis in Temperate Fruit
The phenology of plants (i.e. the timing of their annual life
phases) depends on climatic cues. For temperate trees and many other plants,
spring phases, such as leaf emergence and flowering, have been found to result
from the effects of both cool (chilling) conditions and heat. Fruit tree
scientists (pomologists) have developed some metrics to quantify chilling
and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>).
'chillR' contains functions for processing temperature records into
chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units
(Growing Degree Hours). Regarding chilling metrics, Chill Portions are often
considered the most promising, but they are difficult to calculate. This package
makes it easy. 'chillR' also contains procedures for conducting a PLS analysis
relating phenological dates (e.g. bloom dates) to either mean temperatures or
mean chill and heat accumulation rates, based on long-term weather and phenology
records (Luedeling and Gassner (2012) <doi:10.1016/j.agrformet.2011.10.020>).
As of version 0.65, it also includes functions for generating weather
scenarios with a weather generator, for conducting climate change analyses
for temperature-based climatic metrics and for plotting results from such
analyses. Since version 0.70, 'chillR' contains a function for interpolating
hourly temperature records.
||R (≥ 3.5.0)
||assertthat, dplyr, fields, GenSA, ggplot2, graphics, grDevices, httr, jsonlite, Kendall, metR, patchwork, pls, plyr, R.utils, raster, Rcpp, RCurl, readxl, reshape2, rlang, RMAWGEN, scales, sp, stats, stringr, tidyr, utils, XML
||knitr, rmarkdown, testthat
||Eike Luedeling <eike at eikeluedeling.com>
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