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Related Experiment Video

Updated: Dec 14, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Forest patch modeling: using high performance computing to simulate aboveground interactions among individual trees.

George E Host1, Harlan W Stech2, Kathryn E Lenz2

  • 1Natural Resources Research Institute, University of Minnesota Duluth, Duluth MN, USA.

Functional Plant Biology : FPB
|July 22, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a parallel modeling strategy for functional-structural plant models (FSPMs) to simulate tree patches. The approach accurately predicts aspen growth under elevated CO2, demonstrating its utility for ecological research.

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Area of Science:

  • Plant modeling
  • Computational ecology
  • Forest science

Background:

  • Functional-structural plant models (FSPMs) traditionally simulate individual trees.
  • High-performance computing enables FSPMs to model interacting tree patches.

Purpose of the Study:

  • To develop and validate a parallel modeling strategy for simulating tree patches using FSPMs.
  • To assess the impact of computational factors on patch model accuracy.
  • To simulate aspen clone growth under Free-Air Carbon Dioxide Enrichment (FACE) conditions.

Main Methods:

  • Developed a parallel modeling strategy for an 8x8 patch of individual tree models.
  • Incorporated neighbor trees to mitigate edge effects.
  • Updated phenology and carbohydrate storage submodels.
  • Conducted an 8-year simulation using high-resolution environmental data from the Aspen FACE Experiment.

Main Results:

  • Computational factors (number of trees, neighbor rings) did not significantly affect volume growth estimates.
  • The model accurately simulated aspen tree heights and volumes over 8 years.
  • Simulations showed responsiveness to above-ground competition and overwinter carbohydrate dynamics.

Conclusions:

  • The parallel FSPM approach is computationally efficient and accurate for simulating tree patches.
  • The model successfully replicated observed aspen growth patterns at the Aspen FACE site.
  • This strategy advances ecological modeling for studying forest dynamics and responses to environmental change.