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A dynamic model for studying flow of water in single trees
W R Edwards1, P G Jarvis, J J Landsberg
1Soil Conservation Centre, Aokautere, Ministry of Works and Development, Private Bag, Palmerston North, New Zealand.
Tree Physiology
|December 1, 1986
Summary
This study models tree water flow using the Darcy equation, revealing conductivity parameters significantly impact water potential and flow dynamics. The model simulates a phase lag in water movement down the tree.
Area of Science:
- Plant physiology
- Hydrology
- Mathematical modeling
Background:
- Understanding water transport in trees is crucial for forest ecology and management.
- Previous models often simplified the complex dynamics of water movement within trees.
- Accurate modeling requires integrating xylem properties and environmental factors.
Purpose of the Study:
- To develop a comprehensive model of water flow within a single tree.
- To investigate the influence of xylem conductivity and capacitance on water transport.
- To simulate diurnal and stepwise changes in tree water status.
Main Methods:
- Modeled water flow using the Darcy equation across four compartments: root, stem, branches, and leaves.
- Incorporated power or logarithmic functions to represent water content, water potential, and xylem conductivity.
- Utilized transpiration as the upper boundary and soil-root interface as the lower boundary condition.
- Performed sensitivity analysis on model parameters.
Main Results:
- Sensitivity analysis indicated conductivity parameters most influenced simulated water potential and flow.
- Simulations demonstrated a phase lag in water flow and potential down the tree.
- Model predicted flow approaching a steady state with dynamic changes in water potential and conductivity gradients.
- Preliminary validation against field data for Pinus contorta showed model's predictive capability.
Conclusions:
- The developed model provides a robust framework for understanding tree water dynamics.
- Xylem conductivity is a critical determinant of water movement and potential within trees.
- The model's ability to simulate phase lags and dynamic changes enhances its ecological relevance.