class 7, extracting signal from tree rings

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EXTRACTING SIGNAL FROM TREE RINGS

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Page 1: Class 7, Extracting signal from tree rings

E X T R A C T I N G S I G N A L F R O M T R E E R I N G S

Page 2: Class 7, Extracting signal from tree rings

Same environmental forcings

Similar growth pa!erns

Page 3: Class 7, Extracting signal from tree rings

Eastern hemlockTsuga canadensis

Earlywood

Latewood

Total ring-width

Page 4: Class 7, Extracting signal from tree rings
Page 5: Class 7, Extracting signal from tree rings

Same environmental forcings

Similar growth pa!erns

Page 6: Class 7, Extracting signal from tree rings

Same environmental forcings

Similar growth pa!erns

Page 7: Class 7, Extracting signal from tree rings
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TREE-RING WIDTH DATApith

bark

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how do we interpret tree-ring width measurements?

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The rates of biological processes in trees, including the formation of woody cells, are constrained by the primary environmental variable that is most limiting.

THE PRINCIPLE OF LIMITING FACTORS

Page 13: Class 7, Extracting signal from tree rings

temperature water day length

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THE

LIMITING FACTOR IS NOT THE

ONLY FACTOR THAT INFLUENCES TREE GROWTH.

Page 15: Class 7, Extracting signal from tree rings

Photograph: Andy Frasse!o

Page 16: Class 7, Extracting signal from tree rings

Photograph: kevmann16

Page 17: Class 7, Extracting signal from tree rings
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climate

ecology

climate

climateforest dynamics

landscape change

tree age or size

Page 22: Class 7, Extracting signal from tree rings

TREE-RING WIDTH DATA

Page 23: Class 7, Extracting signal from tree rings

SIGNAL vs. NOISE

Page 24: Class 7, Extracting signal from tree rings

SIGNAL vs. NOISE

the environmental factorof interest

Page 25: Class 7, Extracting signal from tree rings

SIGNAL vs. NOISE

everything else

Page 26: Class 7, Extracting signal from tree rings

SIGNAL vs. NOISE

Page 27: Class 7, Extracting signal from tree rings

SIGNAL vs. NOISE

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THE PRINCIPLE OF AGGREGATE TREE GROWTHAny individual tree-growth series can be "decomposed" into a set of environmental signals that affected the tree’s growth through its lifespan.

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a conceptual model of tree growth

Page 30: Class 7, Extracting signal from tree rings

a conceptual model of tree growth

helps us THINK about signals in tree rings

Page 31: Class 7, Extracting signal from tree rings

a conceptual model of tree growth

helps us THINK about signals in tree rings

NOT used for CALCULATIONS

Page 32: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Page 33: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

tree growth in year ‘t’

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Page 34: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

THE PRINCIPLE OF AGGREGATE TREE GROWTH

=

Page 35: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

size-related growth trendcaused by physiological aging

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Page 36: Class 7, Extracting signal from tree rings
Page 37: Class 7, Extracting signal from tree rings

Tree age

Ring width

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Page 41: Class 7, Extracting signal from tree rings

0

2.5

5.0

7.5

10.0

0 25 50 75 100

At = a × exp-bt + k

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Atdoes not have a universal or predictable shape.

Page 43: Class 7, Extracting signal from tree rings

Gt = At + δD1t + δD2t + Et

growth trend in year ‘t’

You’ll notice that your reading defines another term, Gt, which is the sum of all growth factors OTHER than climate.

Page 44: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

climate during year ‘t’

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Page 45: Class 7, Extracting signal from tree rings

temperature water day length

Page 46: Class 7, Extracting signal from tree rings
Page 47: Class 7, Extracting signal from tree rings

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Rt = At + Ct + δD1t + δD2t + Et

disturbance within the forest

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Page 49: Class 7, Extracting signal from tree rings
Page 50: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

disturbance from outside the forest

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Page 51: Class 7, Extracting signal from tree rings
Page 52: Class 7, Extracting signal from tree rings

δD1t + δD2t

Both disturbance terms include a value for ‘delta’, which can be either ‘0’ (no disturbance)

or ‘1’ (disturbance).

Page 53: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

random processesnot accounted by other sources

THE PRINCIPLE OF AGGREGATE TREE GROWTH

Page 54: Class 7, Extracting signal from tree rings
Page 55: Class 7, Extracting signal from tree rings

SIGNAL vs. NOISE

Page 56: Class 7, Extracting signal from tree rings
Page 57: Class 7, Extracting signal from tree rings

Rt = At + Ct + δD1t + δD2t + Et

Page 58: Class 7, Extracting signal from tree rings

replicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplication

replicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplication

replicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplication

replicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplication

replicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplicationreplication

Page 59: Class 7, Extracting signal from tree rings

Making measurements from (i) more than one radius per tree and (ii) more than one tree per site maximizes the environmental signal and minimizes the amount of environmental ‘noise’.

THE PRINCIPLE OF REPLICATION

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never trust one tree

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Page 62: Class 7, Extracting signal from tree rings

mean of all trees

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can be assumed to be uncorrelated within and between trees in a stand.

Et

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Endogenous (‘originating within’) disturbances will be random events in both space and time, if the stand of trees is large enough.

δD1t

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o#en is shared by most or all trees within a stand, but may not be shared by all forest stands within a region.

δD2t

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never trust one tree

Page 67: Class 7, Extracting signal from tree rings

Source: St. George et al., Quaternary Research, 2008

Page 68: Class 7, Extracting signal from tree rings

Source: Cook et al., Earth Science Reviews, 2007

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Atis the tough one.

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Page 71: Class 7, Extracting signal from tree rings

“Standardization” describes a suite of mathematical methods that a!empt to remove long-term trends in ringwidth caused by normal physiological aging processes and changes in the surrounding forest community.

STANDARDIZATION

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one of the simplest cases

Page 73: Class 7, Extracting signal from tree rings

Changes in ringwidth due to tree age (or size) can sometimes be approximated as

a negative exponential function.

At = a × exp-bt + ksometimes, not always!

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(A) the ‘raw’ring-width data

Page 75: Class 7, Extracting signal from tree rings

(B) the ‘detrending’ curve

Page 76: Class 7, Extracting signal from tree rings

DIVIDE(A) the raw ring-width databy (B) the ‘detrending’ curve

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the ‘detrended’ring-width

index

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Atremoving

Page 79: Class 7, Extracting signal from tree rings

THE PRINCIPLE OF

AGGREGATE TREE GROWTH

THE PRINCIPLE OF

REPLICATION

STANDARDIZATION

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