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Where have all the GDDs gone

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GDDs measure the amount by which the temperature in a plant ... this (for a statistician uninitiated in agronomics) is to use true daily mean temperature Tm; ... – PowerPoint PPT presentation

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Title: Where have all the GDDs gone


1
Where have all the GDDs gone?
  • Roger Littlejohn
  • Colin Boswell
  • Alison Rutherford

2
and where have they come back from?
3
What are growing degree days?
  • GDDs measure the amount by which the temperature
    in a plant growth environment exceeds a
    threshold value.
  • If the temperature is less than the threshold
    there is assumed to be no growth, therefore no
    GDDs.
  • GDDs are accumulated over the growing year, and
    used as an indication of which species are likely
    to thrive in a given environment.

4
Mathematically
  • where Temp measures daily temperature
  • ? is a suitable threshold, e.g. in our case 5C
    or 10C
  • Temp(1) lt ?
  • and i is summed over days.

5
Or from the Web
  • Explanation of Growing Degree Days
  • Accumulated degree days above a specified
    temperature .
  • All Growing Degree Days (GDD) are calculated
    using the formula (Tmax Tmin)/2 - B GDD
    where B represents a base temperature value of
    40 or 50 degrees Fahrenheit.
  • http//www.mrsars.usda.gov/morris/weather/gdd.htm

6
Oops!!
  • Explanation of Growing Degree Days
  • Accumulated degree days above a specified
    temperature .
  • All Growing Degree Days (GDD) are calculated
    using the formula ((Tmax Tmin)/2 B)
    GDD where B represents a base temperature value
    of 40 or 50 degrees Fahrenheit.
  • http//www.mrsars.usda.gov/morris/weather/gdd.htm

7
http//www.inniskillin.com/vineyard/index.asp?loca
tionvineyard
  • The following chart shows the median growing
    degree days above 10C in the major cool climate
    viticulture regions, measured in
    CelsiusGeisenheim, Germany 1050Epernay,
    France (Champagne) 1050Hawke's Bay, New
    Zealand 1200Roseburg, Oregon 1250Geneva,
    Switzerland 1250Beaune, France
    (Burgundy) 1315Niagara, Canada
    (Ontario) 1426Oliver, Canada (British
    Columbia) 1423Yakima,Washington 1426Napa,
    California 1450Healdsburg, Sonoma,
    California 1755

8
http//www.cropssouthland.co.nz/pdf(GDDs above
4C)
9
How is daily temperature measured. 1.?
  • Traditionally daily mean temperature is
    estimated byTmm(TmaxTmin)/2
  • Traditionally temperature was measured using a
    max-min thermometer, so this was a natural thing
    to do.
  • It shouldnt actually be called mean, because
    it isnt.
  • This is how GDD are defined.

10
How is daily temperature measured. 2.?
  • A natural progression on this (for a statistician
    uninitiated in agronomics) is to use true daily
    mean temperature Tm
  • GDDs are still calculated on a daily basis.

11
How is daily temperature measured. 3.?
  • Modern thermometers can log (functions of)
    temperature at any instant or over any preset
    interval, e.g., instantaneous every minute, max
    and min every hour, etc.
  • This makes it natural to sum or integrate (a
    function of) temperature over the day. Denote
    this by TI.

12
How is daily temperature measured?
  • I had made a lot of GDD calculations based on
    calculations 2. and 3. before I realized it was
    not standard.
  • Care is needed in determining exactly what the
    logger is measuring, e.g., the maximum over 24
    hours of instantaneous hourly temperatures is not
    the daily maximum temperature.

13
Are traditional and modern methods compatible?
  • If the diurnal temperature pattern is
    sinusoidalTmm Tm TI
  • But GDD is a non-linear function of temperature,
    so it transpires that GDDI GDDmm GDDmby a
    small but systematic amount.

14
Is daily temperature sinusoidal?
  • Loggers were positioned at 20 sites on 3
    properties in the MacKenzie Basin.
  • Within each property the sites were in an
    altitudinal sequence.
  • Some sites were paired, with sunny and shady
    aspects at the same altitude.
  • Hourly air and soil temperatures were measured
    over 3 years.
  • Lots of missing values.

15
Is daily temperature sinusoidal?
Mean Temperature over sites and days of year
16
Is daily temperature sinusoidal?
  • In this environment a sinusoidal curve does not
    give a good fit.
  • The night-time temperature is quite stable,
    almost constant on average in some cases.
  • The day-time temperature peaks more sharply than
    the sine curve.

17
Is daily temperature sinusoidal?
  • The interaction of annual and daily cycles was
    modelled by a complex harmonic model.
  • Fitted values from this model were used for
    reporting, as they covered all missing values.
  • Residuals were used as indications of localized
    variation from overall means.
  • I also used fitted values in some GDD
    calculations, but this is not appropriate.

18
Daily fitted mean air and soil temperature by
month for site 1
19
Daily fitted mean air temperature by month for
site 1
20
Conclusion
  • The overall diurnal temperature pattern is not
    sinusoidal.
  • The daily mean temperature is systematically less
    than the average of the maximum and minimum.

21
How does this affect calculating GDDs?
  • How Temp(i) is calculated
  • daily mean of max and min within hours of each
    day (close to traditional GDDmm)
  • daily mean of instantaneous hourly
    temperatures(GDDm)
  • hourly instantaneous or averaged over hour,
    summed over day.

22
How does this affect calculating GDDs?
23
Example Site 4
24
Example Site 10
25
Paired t-test for methods 1 and 2
  • In general GDDmm gt GDDm

26
Example Site 4
27
Example Site 4
28
Remarks
  • Using the daily mean rather than the max-min
    average substantially reduces the number of GDDs.
  • The size of this effect depends on the threshold
    and environment.

29
Paired t-test for methods 1 and 3
  • In general GDDmm gt GDDm

30
Comparing methods 1 and 3
  • Over all sites GDDI is close to GDDmm or larger
  • There is no universal bias factor (as before)
  • A closer investigation shows seasonal biasesGDDI
    gt GDDmm in springGDDI lt GDDmm in summer.

31
Mean of all sites GDD above 5 C
32
Mean of all sites GDD above 10 C
33
Spline fit for all sites and average over sites
34
Data for all sites and average over sites
35
Data for all sites and average over sites
  • There are sytematic bias factors
  • In spring and autumn GDDI gt GDDmm 0

36
Data for all sites and average over sites
  • There are sytematic bias factors
  • In summer GDDI lt GDDmm

37
Conclusions
  • The GDD methodology has justified its reputation
    as a rather murky field of science
  • It has been developed using a technology that is
    now outdated
  • Using daily mean, rather than average of max
    min, leads to a systematic negative bias of
    10-15 over a year, which may impact on a
    decision-making process.
  • Integrating temperature above a threshold within
    a day is exposed to different bias factors in two
    different seasons these may cancel to some
    extent.

38
What to do about it?
  • Because its very entrenched in industry, its
    best to stick with the old definitions
  • Care is needed to measure the correct quantities
    and calculate the correct derived variables
    according to those definitions
  • Scientific work relating plant growth to
    environmental variables will operate using
    correspondingly more sophisticated physiological
    measurements and mathematical models.
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