dendroclimatology march 28, 2013 dendroclimatology march 28, 2013

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Dendroclimatology March 28, 2013

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Page 1: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

DendroclimatologyMarch 28, 2013

DendroclimatologyMarch 28, 2013

Page 2: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Tree-ring data are just one of type of many proxies of past climate.

Page 3: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Dendroclimatologists are interested in past climate….why?

Synoptic climatology –

Climate conditions can be estimated from a variety of natural environmental records going back to well before humans existed.

Dendroclimatology

Page 4: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

-Site selection

-Tree age

-Tree shape

-Injured trees or those in the understory are avoided

-Sample depth

-Standardization removes non-climatic trends

-Climate data

Dendroclimatology

Page 5: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Correlation analysis and Response Function Analysis

• Correlation analysis complements results from response function analysis.

• RFA primarily concerned with temp and precip. Correlation analysis can be done on ALL climate variables

• Range of values = -1.0 < r < +1.0

• Associated with each r-value is its p-value which tests for statistical significance.

• In general, we want p-values less than 0.05, or p < 0.05.

• As in response function analysis, we also analyze months from the previous growing season (why?).

• As in response function analysis, we look for groupings of monthly variables to indicate seasonal response by trees.

Page 6: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Pearson Correlation Coefficients Prob > |r| under H0: Rho=0 Number of Observations

lmayt ljunt ljult laugt lsept loctt lnovt

-0.08019 -0.03131 -0.34233 -0.16914 -0.29516 -0.09849 -0.02712 0.4941 0.7897 0.0023 0.1414 0.0096 0.4071 0.8173 75 75 77 77 76 73 75

Correlation analysis

• R-values also known as Pearson correlation coefficients

• SAS output below: r-value (top), p-value (middle), n size (bottom)

• How do you interpret negative correlations?

Page 7: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Dendroclimatology

Primary Variables:- Temperature (ave, min, max)- Precipitation (total)- Palmer Drought Severity Index (PDSI)- Palmer Hydrologic Drought Index (PHDI)

Derived Variables:- El Nino Southern Oscillation (ENSO)- North Atlantic Oscillation (NAO)- Atlantic Multidecadal Oscillation (AMO)- Pacific Decadal Oscillation (PDO)

Teleconnection – the interconnection of physical parameters over long distances

Page 8: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Drought Reconstruction

Page 9: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013
Page 10: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Long term perspective on drought in the American Southeast

Page 11: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Long term perspective on drought in the American Southeast

Page 12: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

ENSO Reconstruction

Page 13: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Pacific Decadal Oscillation

Page 14: Dendroclimatology March 28, 2013 Dendroclimatology March 28, 2013

Atlantic Multidecadal Oscillation