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Related Experiment Video

Updated: Mar 7, 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

Competition for light in forest population dynamics: From computer simulator to mathematical model.

Pierre Magal¹, Zhengyang Zhang¹

¹Univ. Bordeaux, IMB, UMR 5251, F-33400 Talence, France; CNRS, IMB, UMR 5251, F-33400 Talence, France.

Journal of Theoretical Biology

|February 28, 2017

Summary

This study models forest growth, comparing a mathematical model to the SORTIE simulator. Light competition primarily impacts tree growth rate for the best model fit, informing forest dynamics simulations.

Keywords:

Computer forest simulator SORTIE model Size structured model Spatial structured model State dependent delay differential equations

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Related Experiment Videos

Last Updated: Mar 7, 2026

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

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Published on: July 3, 2020

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

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Published on: July 4, 2007

Simulating Impacts of Ice Storms on Forest Ecosystems

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

Area of Science:

Ecology
Forestry
Mathematical Modeling

Background:

Forest growth is complex, influenced by factors like light competition.
Computer simulators like SORTIE aid in understanding forest dynamics.
Existing models require validation and parameter refinement.

Purpose of the Study:

To develop and validate a mathematical model for forest growth.
To compare the mathematical model's performance against the SORTIE simulator.
To investigate the influence of light competition on tree growth dynamics.

Main Methods:

Constructed a size-structured population dynamics model.
Utilized the SORTIE forest simulator for parameter estimation.
Estimated mathematical model parameters using SORTIE, referencing Great Mountain Forest data.

Main Results:

The best model fit occurred when light competition solely affected tree growth rate.
The mathematical model demonstrated comparability with the SORTIE simulator.
Developed models for one and two species with spatial structure.

Conclusions:

Light competition is a critical factor, primarily influencing tree growth rate.
Mathematical models can effectively simulate forest dynamics when parameterized appropriately.
The developed model provides a framework for studying multi-species forest ecosystems.