Climatic signal in tree-ring width chronologies of European

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Transcript Climatic signal in tree-ring width chronologies of European

Tree-Ring Laboratory
Institute of Geography RAS
Moscow, Russia
Climatic signal in tree-ring width chronologies
of European Russia: spatial change
and perspectives for paleoclimatic reconstructions
Vladimir Matskovsky
Institute of Geography, Russian Academy of Sciences, Moscow, Russia
[email protected]
PAGES 2nd Young Scientists Meeting
The Past: A Compass for Future Earth
11-12 February 2013, Goa, India
Motivation
• Tree rings are a unique source of paleoclimatic information
because of precise dating of each proxy value
• European part of Russia is still poorly studied in terms of
dendroclimatology, comparing to neighboring regions:
Fennoscandia and Urals Mountains
• Long tree-ring width chronologies have mostly been used for
dendrochronological dating and haven’t been analyzed for
its paleoclimatic potential
• Global map of high-resolution reconstructions is lacking data
from this region
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Motivation
“…chronological errors will accumulate back in time as missing rings are encountered.”
Vladimir Matskovsky Climatic signal in tree-ring width chronologies of European Russia
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Constructing long chronologies for European Russia
70°N 60°E
50°N 20°E
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Identifying climatic signal: objectives
The main objective:
To extract climatic signal from tree-ring width chronologies of conifers
in European Russia
Tasks:
•To test correlations with different climatic parameters that can possibly
influence tree growth
•To compare long chronologies with climatic reconstructions
•To identify weather conditions in “pointer years” for the instrumental period
•To compare “pointer years” of long chronologies with historical data about
extreme climatic events
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Identifying climatic signal: materials and methods
Chronologies of living trees
Pine (Pinus sylvestris )
Spruce (Picea abies, obovata)
 Larch (Larix sibirica)
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Identifying climatic signal: materials and methods
Climate data
•Daily and monthly precipitation and temperature values from
more then 200 meteostations
•Gridded meteodata, 0,5° latitude and longitude (CRU TS 3.0)
•Model data: Soil moisture, Palmer Drought Severity Index (PDSI),
Reanalysis.
•Atmospheric circulation indexes: NAO, SCAND, etc.
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Identifying climatic signal: materials and methods
Methods
•Correlation analysis
•Pointer years analysis
•Comparison with historical data
•Comparison with climate reconstructions
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Pine
Minimum air temperatures
(May-August)
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Pine
Soil moisture
(May)
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Pine
Palmer Drought Severity Index (PDSI)
(July)
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Pine
Wet day frequency
(June-July)
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Spruce
Mean air temperatures
(June-July)
Vladimir Matskovsky Climatic signal in tree-ring width chronologies of European Russia
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Spruce
Precipitation
(July)
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Larch
Minimum air temperatures
(June)
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Identifying climatic signal: results
Climatic response of tree ring chronologies
Larch
Relative air humidity
(August)
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Identifying climatic signal: results
Weather conditions forming pointer years
VI-VII
V-VIII
IV-IX
X-III
X-IX
VI-VII
V-VIII
IV-IX
X-III
X-IX
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Paleoclimatic information in long chronologies
z-scores
Chronology «Vologda»
Mann and Jones, 2003, R = 0.59
D’Arrigo et al., 2006, R=0.35
Years
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Paleoclimatic information in long chronologies
z-scores
«Solovki» chronology
Kononov et al., 2009, R = 0.61
Years
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z-scoresзначения
Нормированные
Paleoclimatic information in long chronologies
3
«Solovki» chronology
Solar activity (Delaygue and Bard, 2010), R = 0.63
2
1
0
-1
-2
-3
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
Годы
Years
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Paleoclimatic information in long chronologies
Frequency
Positive «pointer years»
Negative «pointer years»
All the «pointer years»
Century
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Summary
Why? (objectives)
To understand what climate information can be extracted from long tree-ring width
chronologies in European Russia
How? (materials and methods)
We used analysis of spatial correlations, pointer years analysis and comparison with historical
data and climate reconstructions
What? (results)
We showed that climatic response is changing along latitudinal gradient, trees are more
temperature sensitive in the north and moisture sensitive in the south – these results allow
interpretation of long chronologies;
Pointer years analysis showed weather conditions that lead to anomalous tree growth;
Ppointer years coincide with historical data, chronologies show correlation with climate
reconstructions – it demonstrates good paleoclimatic potential of tree-ring width chronologies
in this region
Perspectives
New long chronologies
Other proxies: stable isotopes, maximum latewood density
Building regional reconstructions and including them into large projects (like PAGES 2k
Network)
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Acknowledgements
Colleagues from our Tree-ring laboratory
for their contribution in this research
PAGES
for the possibility to give a talk on the 2nd YSM
PAGES and Asia-Pacific Network for Global Change Research
for financial support that made my participation in this meeting possible
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Thanks for your attention!