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Updated: Dec 1, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
Modeling Ambitions Outpace Observations of Forest Carbon Allocation
Flurin Babst1, Andrew D Friend2, Maria Karamihalaki1
1W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, 31-512 Krakow, Poland; Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.
Forest carbon cycling models need more data. Current flux-tower sites lack sufficient empirical evidence for tree-centered vegetation models, highlighting a critical need for new research.
Area of Science:
- Ecology
- Forestry
- Climate Science
Background:
- Tree-centered vegetation models are increasingly called for to improve forest carbon (C) cycling predictions.
- Existing flux-tower site data are insufficient to support the development of these advanced models.
- A gap exists in empirical data for understanding C uptake and allocation in mature trees across diverse environments.
Purpose of the Study:
- To highlight the inadequacy of current empirical data for tree-centered vegetation modeling.
- To propose a framework for generating essential cross-scale data on tree carbon dynamics.
- To advocate for a new generation of studies integrating ecosystem monitoring and manipulative experiments.
Main Methods:
- Global survey of flux-tower sites to assess data availability.
- Proposal of an experimental framework for collecting data on carbon uptake and allocation.
- Emphasis on pairing long-term ecosystem monitoring with manipulative experiments on mature trees.
Main Results:
- A global survey revealed insufficient empirical data to support tree-centered vegetation models.
- Existing data are not adequately distributed across environmental gradients.
- A significant need for data from underrepresented regions, particularly tropical forests, was identified.
Conclusions:
- Urgent need for a new generation of studies with strategic data collection across environmental gradients.
- Implementation of a versatile experimental framework is crucial for building comprehensive carbon cycling data archives.
- Global coordination and realistic data collection priorities are essential for advancing tree-centered vegetation modeling.
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