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Related Experiment Videos

Structural differences and functional similarities between two sugar maple (Acer saccharum) stands.

Frédéric Raulier1, Pierre Y Bernier, Chhun-Huor Ung

  • 1Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, #1055 du P.E.P.S., P.O. Box 3800, Sainte-Foy, Quebec, G1V 4C7, Canada. fraulier@cfl.forestry.ca

Tree Physiology
|November 5, 2002
PubMed
Summary

Spatially inexplicit models accurately predict forest transpiration, even with varying canopy structures. This approach simplifies canopy gas exchange estimation for large-scale landscape analysis.

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Area of Science:

  • Forest ecology
  • Ecosystem modeling
  • Plant physiology

Background:

  • Forest canopy structure influences light capture and gas exchange.
  • Functional-structural canopy models are used to predict transpiration and photosynthesis.
  • Spatially inexplicit models assume less functional variability than structural variability in closed stands.

Purpose of the Study:

  • To validate the assumption that closed forest stands exhibit less functional than structural variability.
  • To compare structural and functional properties, and measured vs. modeled transpiration fluxes in two sugar maple stands with differing canopy architectures.
  • To assess the efficacy of nonspatially explicit models for estimating canopy gas exchange.

Main Methods:

  • Compared two sugar maple (Acer saccharum Marsh.) stands with similar leaf mass but different height/diameter distributions and canopy structures (single-layer vs. multilayer).

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  • Analyzed structural differences (height, diameter, gap fraction) and functional properties (leaf mass, LMA distributions).
  • Compared measured stand transpiration with estimates from a multilayer gas exchange model using nonspatial inputs (LAI, LMA distribution).
  • Main Results:

    • Significant differences were found in stand height, diameter distributions, and canopy gap fraction.
    • No significant differences were observed in tree-level relationships between basal area and transpiration flux or sapwood area.
    • Modeled daily transpiration closely matched measured values for both stands (r(2) = 0.94).

    Conclusions:

    • The study supports the use of nonspatially explicit models for estimating canopy gas exchange.
    • Functional-structural assumptions in canopy modeling are validated by the close agreement between modeled and measured transpiration.
    • Nonspatially explicit approaches are effective for scaling canopy gas exchange estimates to larger landscapes.