KA_bloom


Bloom data of sweet cherry var. 'Schneiders spaete Knorpelkirsche' recorded
at Klein-Altendorf, Germany, the experimental station of the University of
Bonn


datasets

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. '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.

Eike Luedeling

chillR

Statistical Methods for Phenology Analysis in Temperate Fruit
Trees

KA_bloom function

A data frame with the following 2 variables.  <dl>
<dt>Year</dt><dd>a numeric vector, indicating the observation year</dd> <dt>pheno</dt><dd> a vector that, when coerced by as.numeric, contains
bloom data in Julian dates (day of the year)</dd>
 </dl>

Format

data were collected by Achim Kunz and Michael Blanke, University of
Bonn

KA_bloom: Cherry bloom data for Klein-Altendorf, Germany

Description

Arguments

Format

Source

References

Examples