KA_weather


Daily temperature data from Klein-Altendorf, Germany, for use in combination
with the example phenology dataset KA_bloom.


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_weather function

A data frame with observations on the following 5 variables.
<dl>
<dt>Year</dt><dd>a numeric vector - the observation year</dd> <dt>Month</dt><dd>a numeric vector - the observation month</dd> <dt>Day</dt><dd>a numeric vector - the observation day</dd> <dt>Tmax</dt><dd>a numeric vector - daily maximum temperature</dd> <dt>Tmin</dt><dd>a numeric vector - daily minimum temperature</dd>
 </dl>

Format

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

KA_weather: Weather data for Klein-Altendorf, Germany

Description

Arguments

Format

Source

References

Examples