Eugene A. Vaganov

Dr. Eugene A. Vaganov


Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 February 1998 in Nature
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KBK. R. Briffa
K. R. Briffa
FSF. H. Schweingruber
F. H. Schweingruber
PJP. D. Jones
P. D. Jones
TOT. J. Osborn
T. J. Osborn
SSS. G. Shiyatov
S. G. Shiyatov
Eugene A. VaganovEugene A. Vaganov
Eugene A. Vaganov

8 July 1999 in Nature
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Eugene A. VaganovEugene A. Vaganov
Eugene A. Vaganov
MHM. K. Hughes
M. K. Hughes
AKAlexander V. Kirdyanov
Alexander V. Kirdyanov
FSF. H. Schweingruber
F. H. Schweingruber
PSP. P. Silkin
P. P. Silkin

16 February 2001 in Journal of Geophysical Research: Atmospheres
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Journal Article
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KBKeith R. Briffa
Keith R. Briffa
TOTimothy J. Osborn
Timothy J. Osborn
FSFritz H. Schweingruber
Fritz H. Schweingruber
IHIan C. Harris
Ian C. Harris
PJPhilip D. Jones
Philip D. Jones
Eugene A. VaganovEugene A. Vaganov
Eugene A. Vaganov

1 December 2000 in Global Change Biology
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Journal Article
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WEWerner Eugster
Werner Eugster
WRWayne R Rouse
Wayne R Rouse
RSRoger A. Pielke Sr
Roger A. Pielke Sr
JMJoseph P. Mcfadden
Joseph P. Mcfadden
DBDennis Baldocchi
Dennis Baldocchi
SCScott Chambers
Scott Chambers

1 September 2002 in The Holocene
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Journal Article
Closed access
KBKeith R. Briffa
Keith R. Briffa
TOTimothy J. Osborn
Timothy J. Osborn
FSFritz H. Schweingruber
Fritz H. Schweingruber
PJPhilip D. Jones
Philip D. Jones
SSStepan G. Shiyatov
Stepan G. Shiyatov
Eugene A. VaganovEugene A. Vaganov
Eugene A. Vaganov
A detailed description is presented of the statistical patterns of climate forcing of tree growth (annual maximum latewood density and ring-width time series), across a network of 387 specially selected conifer sites that circle the extra-tropical Northern Hemisphere. The in‘ uence of summer temperature dominates growth. A mean April–September response is optimum for describing the major forcing signal over the whole densito-metric network, though a shorter June–July season is more relevant in central and eastern Siberia. The ring- width chronologies also have a shorter optimum (June–August) seasonal signal, but this is much weaker than the density signal. The association between tree-ring density and precipitation variability (as measured by partial correlations to account for the correlation between temperature and precipitation) is considerably weaker than with temperature. The ring-width response to precipitation is dominated by ‘noise’ and local site in‘ uences, though a negative response to winter precipitation in northern Siberia is consistent with the suggestion of an in‘ uence of delayed snowmelt. Average correlations with winter temperatures are small for all regions and correlations with annual temperatures are positive only because of the strong link with summer temperatures. Reconstructions of summer temperature based on composite regional density chronologies for nine areas are presented. Five regions (northwestern North America, NWNA; eastern and central Canada, ECCA; northern Europe, NEUR; northern Siberia, NSIB; and eastern Siberia, ESIB) constitute an arbitrary ‘northern’ division of the network, while the four other regions (western North America, WNA; southern Europe, SEUR; central Asia, CAS; and the Tibetan Plateau, TIBP) make up the ‘southern’ part. We also present two larger composite regional reconstructions comprising the data from the five higher-latitude (HILAT) and four lower-latitude (LOLAT) areas respectively; and a single series made up of data from all regions (ALL), which is highly correlated with Northern Hemisphere mean summer temperature. We calculate time-dependent uncertainty ranges for each of these reconstructions, though they are not intended to represent long timescales of tempera ture variability (>100 years) because the technique used to assemble the site chronologies precludes this. Finally, we examine in more detail the reduced sensitivity in the tree-growth data to decadal-timescale summer-temperature trends during the last 50 years, identified in earlier published work.

29 January 1998 in Philosophical Transactions of the Royal Society B: Biological Sciences
Verified
Journal Article
Open access
PDF file
KBK. R. Briffa
K. R. Briffa
FSF. H Schweingruber
F. H Schweingruber
PJP. D. Jones
P. D. Jones
TOT. J. Osborn
T. J. Osborn
IHI. C. Harris
I. C. Harris
HGH. Grudd
H. Grudd
The annual growth of trees, as represented by a variety of ring–width, densitometric, or chemical parameters, represents a combined record of different environmental forcings, one of which is climate. Along with climate, relatively large–scale positive growth influences such as hypothesized ‘fertilizationrsquo; due to increased levels of atmospheric carbon dioxide or various nitrogenous compounds, or possibly deleterious effects of ‘acid rain’ or increased ultra–violet radiation, might all be expected to exert some influence on recent tree growth rates. Inferring the details of past climate variability from tree–ring data remains a largely empirical exercise, but one that goes hand–in–hand with the development of techniques that seek to identify and isolate the confounding influence of local and larger–scale non–climatic factors. By judicious sampling, and the use of rigorous statistical procedures, dendroclimatology has provided unique insight into the nature of past climate variability, but most significantly at interannual, decadal, and centennial timescales. Here, examples are shown that illustrate the reconstruction of annually resolved patterns of past summer temperature around the Northern Hemisphere, as well as some more localized reconstructions, but ones which span 1000 years or more. These data provide the means of exploring the possible role of different climate forcings; for example, they provide evidence of the large–scale effects of explosive volcanic eruptions on regional and hemispheric temperatures during the last 400 years. However, a dramatic change in the sensitivity of hemispheric tree–growth to temperature forcing has become apparent during recent decades, and there is additional evidence of major tree–growth (and hence, probably, ecosystem biomass) increases in the northern boreal forests, most clearly over the last century. These possibly anthropogenically related changes in the ecology of tree growth have important implications for modelling future atmospheric CO 2 concentrations. Also, where dendroclimatology is concerned to reconstruct longer (increasingly above centennial) temperature histories, such alterations of ‘normal’ (pre–industrial) tree–growth rates and climate–growth relationships must be accounted for in our attempts to translate the evidence of past tree growth changes.