PhenoFlex_fixedDynModelwrapper

PhenoFlex wrapper function for the `phenologyFitter` function using
the GDH heat accumulation model and parameters of the dynamical model
fixed. The default values for the dynamic model parameters are from
the excel file with unknown origin.

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.

Eike Luedeling

chillR

Statistical Methods for Phenology Analysis in Temperate Fruit
Trees

Lars Caspersen

Eduardo Fernandez

PhenoFlex_fixedDynModelwrapper function

<dl><dt>x</dt>
<dd>data.frame with at least columns `Temp` and `JDay`</dd>
<dt>par</dt>
<dd>numeric vector of length 11 with the `PhenoFlex` fit
parameters in the following order: 1. yc, 2. zc, 3. s1, 4. Tu, 5. E0,
6. E1, 7, A0, 8. A1, 9. Tf, 10. Tc, 11. Tb and 12. slope. For details see
PhenoFlex</dd>
<dt>A0</dt>
<dd>numeric. Parameter \(A_0\) of the dynamic model</dd>
<dt>A1</dt>
<dd>numeric. Parameter \(A_1\) of the dynamic model</dd>
<dt>E0</dt>
<dd>numeric. Parameter \(E_0\) of the dynamic model</dd>
<dt>E1</dt>
<dd>numeric. Parameter \(E_1\) of the dynamic model</dd>
<dt>slope</dt>
<dd>numeric. Slope parameter for sigmoidal function</dd>
<dt>Tf</dt>
<dd>numeric. Transition temperature for the
sigmoidal function</dd></dl>

Arguments

PhenoFlex_fixedDynModelwrapper — PhenoFlex_fixedDynModelwrapper

<dl>

<dt>x</dt>
<dd>data.frame with at least columns `Temp` and `JDay`</dd>


<dt>par</dt>
<dd>numeric vector of length 11 with the `PhenoFlex` fit
parameters in the following order: 1. yc, 2. zc, 3. s1, 4. Tu, 5. E0,
6. E1, 7, A0, 8. A1, 9. Tf, 10. Tc, 11. Tb and 12. slope. For details see
PhenoFlex</dd>


<dt>A0</dt>
<dd>numeric. Parameter \(A_0\) of the dynamic model</dd>


<dt>A1</dt>
<dd>numeric. Parameter \(A_1\) of the dynamic model</dd>


<dt>E0</dt>
<dd>numeric. Parameter \(E_0\) of the dynamic model</dd>


<dt>E1</dt>
<dd>numeric. Parameter \(E_1\) of the dynamic model</dd>


<dt>slope</dt>
<dd>numeric. Slope parameter for sigmoidal function</dd>


<dt>Tf</dt>
<dd>numeric. Transition temperature for the
sigmoidal function</dd>

</dl>

PhenoFlex_fixedDynModelwrapper: PhenoFlex_fixedDynModelwrapper

Description

Usage

Value

Arguments