Related Experiment Video
Updated: Jan 18, 2026

04:35
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
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Reversibility of Interannual Tree Growth Variability in Southern Boreal Forest
Yang Tang1,2, Enzai Du1,2, Baolin Xue1
1State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Global Change Biology
|January 16, 2026
Summary
Climate change initially increased tree growth variability in China
Area of Science:
- Forest ecology
- Climate change science
- Dendrochronology
Background:
- The southern boreal forest is sensitive to climate change, impacting tree growth patterns.
- Understanding climate change effects on tree growth variability is crucial for forest management.
Purpose of the Study:
- To investigate temporal changes in interannual tree growth variability in a temperate-boreal forest ecotone in northeastern China.
- To determine if climate variation has increased tree growth variability and if this trend is reversible under warming.
Main Methods:
- Field investigation and dendrochronological analysis of Dahurian larch (Larix gmelinii).
- Evaluation of temporal changes in standardized basal area increment and interannual growth variability.
- Analysis of climate data (temperature and moisture variability) during growing and non-growing seasons.
Main Results:
- Interannual tree growth variability of Dahurian larch significantly increased from 1980-2006, coinciding with rapid warming.
- This increase was linked to greater interannual variability in moisture and growing season temperature.
- From 2007-2018, growth variability decreased, attributed to reduced temperature variability and increased non-growing season temperatures.
Conclusions:
- Tree growth variability in the southern boreal forest is reversible under near-term climate warming.
- This finding offers a nuanced perspective, challenging assumptions of irreversible shifts in forest stability.
- Tree height and changes in early growing season temperature influence spatial variations in growth variability.
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