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Related Experiment Videos

Stomatal dimensions and resistance to diffusion.

J Y Parlange1, P E Waggoner

  • 1The Connecticut Agricultural Experiment Station, New Haven, Connecticut 06504.

Plant Physiology
|August 1, 1970
PubMed
Summary
This summary is machine-generated.

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This study calculates diffusive resistance considering realistic stomatal shapes, not just circles. It separates outer and inner resistance, providing a formula for elongated stomata to improve gas exchange models.

Area of Science:

  • Plant physiology
  • Biophysics

Background:

  • Previous models of diffusive resistance used simplified circular stomatal shapes.
  • Realistic stomatal geometry, like slits, influences gas exchange.
  • Understanding stomatal geometry is crucial for plant transpiration and carbon uptake.

Purpose of the Study:

  • To calculate diffusive resistance for general stomatal shapes, including realistic slits.
  • To differentiate between outer and inner resistance components.
  • To provide a formula for calculating stomatal resistance based on geometry.

Main Methods:

  • Developed a model for diffusive resistance applicable to non-circular stomatal pores.
  • Separated resistance into an outer component (ventilation, leaf geometry) and an inner component (stomatal geometry, interference).

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  • Derived a formula for inner resistance for elongated stomata, considering semilength, semiwidth, depth, and density.

    • Main Results:

    • Diffusive resistance is composed of outer and inner terms.
    • Outer resistance is independent of stomata, depending on ventilation and leaf geometry.
    • Inner resistance depends on stomatal geometry and interference; negligible if spacing is >3x length.
    • A formula for inner resistance of elongated stomata was derived, consistent with Brown and Escombe for slits.

    Conclusions:

    • The study provides a more accurate method for calculating diffusive resistance by considering realistic stomatal shapes.
    • The findings enhance understanding of gas exchange regulation in plants.
    • The derived formula can be applied to improve models of plant transpiration and photosynthesis.