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PARbars: Cheap, Easy to Build Ceptometers for Continuous Measurement of Light Interception in Plant Canopies
Published on: May 9, 2019
Performance of a canopy light interception model for conifer shoots, trees and stands
Pauline Oker-Blom1, Merrill R. Kaufmann, Michael G. Ryan
1Department of Silviculture, University of Helsinki, Unioninkatu 408, SF-00170 Helsinki, Finland.
Tree Physiology
|July 1, 1991
Summary
This study evaluated a canopy light interception model, finding crown shadow areas were underestimated. Leaf area estimation and shoot distribution models require further refinement for accurate light interception modeling in forests.
Area of Science:
- Forestry Science
- Ecological Modeling
- Plant Physiology
Background:
- Accurate modeling of canopy light interception is crucial for understanding forest dynamics and productivity.
- Previous models often simplify complex shoot and crown structures, leading to potential inaccuracies.
Purpose of the Study:
- To evaluate a hierarchical canopy light interception model at shoot, crown, and stand levels.
- To assess the accuracy of submodels for predicting light interception in lodgepole pine and Engelmann spruce stands.
Main Methods:
- Calculated mean silhouette areas and silhouette to total leaf area ratio (STAR) for individual shoots.
- Modeled crown shadow areas using random and regular shoot dispersion assumptions.
- Estimated mean canopy transmission using spatial distribution models for trees.
Main Results:
- Shoot silhouette area calculations agreed well with measurements; STAR values showed reasonable agreement.
- Crown shadow areas were underestimated, with regular shoot dispersion showing better results than random.
- Leaf area estimations from sapwood area were consistently underestimated.
- Canopy transmission was well-estimated by random models for Engelmann spruce and regular models for lodgepole pine.
Conclusions:
- The individual crown transmission submodel was the weakest component, potentially due to leaf area estimation issues.
- Further research is needed to determine optimal shoot distribution models (random vs. regular) for crown interception.
- Refined leaf area estimation methods are essential for improving canopy light interception models.
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