2006
DOI: 10.1029/2006jg000166
|View full text |Cite
|
Sign up to set email alerts
|

A forward modeling approach to paleoclimatic interpretation of tree‐ring data

Abstract: [1] We investigate the interpretation of tree-ring data using the Vaganov-Shashkin forward model of tree-ring formation. This model is derived from principles of conifer wood growth, and explicitly incorporates a nonlinear daily timescale model of the multivariate environmental controls on tree-ring growth. The model results are shown to be robust with respect to primary moisture and temperature parameter choices. When applied to the simulation of tree-ring widths from North America and Russia from the Mann et… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

5
131
0
4

Year Published

2012
2012
2017
2017

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 130 publications
(140 citation statements)
references
References 42 publications
5
131
0
4
Order By: Relevance
“…As a consequence of these rapid asymmetrical changes, statistical correlations of growth with basic weather data are becoming less reliable (Briffa et al 1998;Gao et al 2013) and much more variable (Zhang and Wilmking 2010). As an alternative to conventional dendrochronological analysis, process-based modeling may offer a more holistic interpretation (Evans et al 2006).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…As a consequence of these rapid asymmetrical changes, statistical correlations of growth with basic weather data are becoming less reliable (Briffa et al 1998;Gao et al 2013) and much more variable (Zhang and Wilmking 2010). As an alternative to conventional dendrochronological analysis, process-based modeling may offer a more holistic interpretation (Evans et al 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Process-based models offer an alternative means of evaluating growth responses because, unlike statistical models, they include functions that define thresholds to constrain photosynthesis, transpiration, and growth and do not require site-by-site tuning (Evans et al 2006). Li et al (2014) applied a process-based model to predict the growth of individual Pinus koraiensis trees in one stand located in the Changbai Mountains in northeastern China.…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, the assimilation of a given proxy type should be pursued on its own merits, using a forward model able to simulate the climate recording processes specific to that particular kind of proxy record. Nowadays, there exist forward models for many different proxy types, most notably TRW Evans et al 2006;Tolwinski-Ward et al 2011), treering isotopes (Roden et al 2000;Danis et al 2012;Evans 2007), coral isotopes (Thompson et al 2011), ocean sediments (Heinze 2001;Schmidt 1999) and stalagmite isotopes (Baker et al 2012). There are also initiatives to model the transport of isotopes within the atmosphere (Sturm et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Именно к этим моделям и относится имитационная модель прироста го-дичных колец древесных растений Ваганова-Шашкина (Ваганов, Шашкин, 2000;Vaganov et al, 2006;Anchukaitis et al, 2006;Evans et al, 2006;Touchan et al, 2012 (Тычков и др., 2012;Shishov et al, 2015).…”
Section: Introductionunclassified