2021
DOI: 10.1007/124_2021_52
|View full text |Cite
|
Sign up to set email alerts
|

An Overview on Dendrochronology and Quantitative Wood Anatomy Studies of Conifers in Southern Siberia (Russia)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 69 publications
0
2
0
Order By: Relevance
“…It is known that both the width of tree rings and their anatomical structure are controlled by internal and external factors [35,[40][41][42][43]. However, when comparing the variance and sensitivity coefficient of tree-ring width chronologies for different species under the same growing conditions, Siberian pine is shown to have rather low values of growth variability indices, even under climatically limited growing conditions [44,45].…”
Section: Discussionmentioning
confidence: 99%
“…It is known that both the width of tree rings and their anatomical structure are controlled by internal and external factors [35,[40][41][42][43]. However, when comparing the variance and sensitivity coefficient of tree-ring width chronologies for different species under the same growing conditions, Siberian pine is shown to have rather low values of growth variability indices, even under climatically limited growing conditions [44,45].…”
Section: Discussionmentioning
confidence: 99%
“…This is especially true in studies using old trees as samples, since tracheid size tends to be constant as the tree ages ( Vysotskaya and Vaganov, 1989 ; Zhou and Jiang, 1994 ; Vaganov et al, 2006 ). In recent years, quantitative wood anatomy (QWA) emerged as a growing field of dendrochronology that allows obtaining a large number of parameters of xylem cells and structure, highlighting the adjustments of trees to their environment and relationship between cell structure and functions ( Arzac et al, 2021 ). Understanding the temporal pattern of these traits and how the environment shapes them are of high importance for forest management.…”
Section: Introductionmentioning
confidence: 99%