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temperature   water   day length
THE PRINCIPLE OF
    CROSS-DATING
      THE PRINCIPLE OF
AGGREGATE TREE GROWTH
      THE PRINCIPLE OF
     REPLICATION

  STANDARDIZATION
      THE PRINCIPLE OF
ECOLOGICAL AMPLITUDE
      THE PRINCIPLE OF
    SITE SELECTION
White pine 1714


Photograph: Kurt Kipfmueller
C L I M AT E F R O M T R E E S




Photograph: RawheaD Rex
empirical Information gained by means of
observation, experience or experiment.
Photograph: Minyoung Choi
h p://sokar.geo.umn.edu/weather/
Single-site reconstruction
A time series is a set of observations
ordered in time.
time span
                               resolution
       10
                           last century
                              annual
        5
PDSI




        0
                                            chronological uncertainty
        -5                                  sub-annual
       -10
             1900   1920       1940         1960     1980      2000
                                Year (A.D.)
variance a statistical measure that describes how a
         set of numbers vary around their mean.

         The second moment of a distribution.
variance         observation



                           sample
                            mean
        sample
          size



 Variance
10


        5
PDSI




        0


        -5


       -10
             1900   1920   1940    1960   1980   2000
                            Year (A.D.)
empirical comparisons
thermometers




                              tree rings




Source: Hughes et al., 1999
rain gauges




                                           tree rings




Source: Hughes and Funkhouser, 1998
correlation The Pearson product-moment
correlation coefficient is probably the single
most widely used statistic for summarizing
the relationship between two variables.
covariance




           product of both standard deviations



Correlation Pearson’s product-moment correlation
variable ‘Y’
                              r = +1.0




               variable ‘X’
variable ‘Y’
                              r = -1.0




               variable ‘X’
variable ‘Y’
                          r = +0.85




               variable ‘X’
Ring-width
  index
“SHARED”
VARIANCE
10                                                                         3

                                                                                    2
            5




                                                                                         Ringwidth
                                                                                    1
PDSI




           0                                                                        0

                                                                                    -1
          -5
                                                                                    -2

        -10                                                                         -3
                 1900                           1920   1940    1960   1980   2000
                                                        Year (A.D.)
St. George et al., (2009), Journal of Climate
r = 0.62
r2   =   0.62 2


r2   = 0.38
38% shared variance
         10                                                                            3

                                                                                       2
            5




                                                                                            Ringwidth
                                                                                       1
PDSI




           0                                                                           0

                                                                                       -1
          -5
                                                                                       -2

        -10                                                                            -3
                 1900                           1920      1940    1960   1980   2000
                                                           Year (A.D.)
St. George et al., (2009), Journal of Climate
covariance




           product of both standard deviations



Correlation Pearson’s product-moment correlation
r = 0.816




Source: Wikipedia
Single-site reconstruction
CORRELATION
 FUNCTION
Source: Kipfmueller, 2008
LINEAR
REGRESSION
yt = axt + b + ε
the climate variable
of interest (at year t)



              yt = axt + b + ε
yt = axt + b + ε

     the tree-ring
  variable (at year t)
regression weight
for the tree-ring
     variable



         yt = axt + b + ε
constant



yt = axt + b + ε
yt = axt + b + ε
 error of the residual
yt = axt + b + ε
Ring-width
  index
CLIMATE
RECONSTRUCTION
never trust
    one tree
Multiple-site reconstruction
‘multiple’ linear regresson



yt = a1x1t + a2x2t + a3x3t ... + b + ε
Network reconstruction
yt = axt + b + ε

  average tree-ring
 width at many sites
      (in year t)
‘SHARED’ VARIANCE


CORRELATION FUNCTION


  LINEAR REGRESSION


CLIMATE RECONSTRUCTION
Tree rings can provide extra-ordinarily good estimates (sometimes)




Source: Woodhouse et al., 2006
White pine 1714


Photograph: Kurt Kipfmueller
GEOG3839.9: Climate from trees

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GEOG3839.9: Climate from trees