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Related Experiment Video

Updated: May 18, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Detecting trends in tree growth: not so simple.

David M J S Bowman¹, Roel J W Brienen, Emanuel Gloor

¹School of Plant Science, University of Tasmania, Private Bag 55, Hobart, Tasmania 7001, Australia. david.bowman@utas.edu.au

Trends in Plant Science

|September 11, 2012

Summary

Understanding tree growth drivers is key to predicting biomass changes. Studies must account for tree size and age, and avoid sampling biases to track environmental impacts effectively.

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Last Updated: May 18, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Area of Science:

Forest ecology
Biogeochemistry
Climate science

Background:

Tree biomass is crucial for ecosystem functions like biogeochemical cycling, climate regulation, and biodiversity.
Individual tree growth over its lifespan is a primary determinant of tree biomass.
Environmental changes necessitate accurate tracking and prediction of tree biomass dynamics.

Purpose of the Study:

To review methods for understanding environmental controls on tree growth and biomass.
To identify challenges in attributing tree growth trends to specific drivers.
To highlight the need for robust study designs in ecological research.

Main Methods:

Prospective studies using permanent sample plots to track tree growth.
Retrospective studies analyzing tree ring data for historical growth patterns.
Statistical methods to control for tree size-age covariation and sampling biases.

Main Results:

Accurate assessment of tree growth drivers requires addressing the interplay between tree size and age.
Sampling biases at various scales can confound the identification of growth trends.
Well-designed studies are essential for reliable attribution of growth changes to environmental factors.

Conclusions:

Effective understanding of environmental influences on tree biomass necessitates careful consideration of individual tree growth dynamics.
Addressing methodological challenges, including statistical control and bias mitigation, is critical for future research.
Improved study designs will enhance our ability to predict the impacts of environmental change on forest ecosystems.