The porous media model for the hydraulic system of a conifer tree: Linking sap flux data to transpiration rate

Published

Journal Article

Linking sap flow in tree boles to plant transpiration continues to be a fundamental and practical research problem in physiological ecology and forest hydrology. Many models have been proposed to describe water movement within trees with varying degrees of success. The prevailing resistance-capacitance (RC)-circuit models have the advantage of being easy to implement. However, RC models are ordinary differential equation (ODE) models that reduce the spatial-temporal dynamics of a tree hydraulic system to the temporal variation of simplified quantities; thus, the RC parameterization is more empirical and open to various interpretations. For coniferous trees, a reasonable alternative to RC circuit models is a porous media (PM) model, which is a partial differential equation (PDE) model that describes the spatial-temporal dynamics. The model more closely represents the physical elements of the conifer hydraulic system but also requires a direct estimation of its properties. Our proposed PM model is original in that it formulates a theoretical link between measured quantities (i.e., sap flux density and tree structure) and model parameters, obtained during nighttime, which permits direct numerical conversion of sap flow to transpiration rate during daytime. In addition to fully simulating the PDE, we propose an alternative method to transform the PDE into a set of ODEs, to significantly reduce computational demands. Although the ODE results are noisy, the transpiration pattern produced by the ODE, once filtered, is similar to that of the PDE. We demonstrate that measurements of the sap flux in multiple positions below and within the crown can be used to compute the height-dependent transpiration rate; but if rates of bulk crown transpiration are of primary interest, readily obtainable measurements at two heights, at the base of the tree and below the crown, are sufficient for the computation. © 2005 Elsevier B.V. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Chuang, YL; Oren, R; Bertozzi, AL; Phillips, N; Katul, GG

Published Date

  • February 5, 2006

Published In

Volume / Issue

  • 191 / 3-4

Start / End Page

  • 447 - 468

International Standard Serial Number (ISSN)

  • 0304-3800

Digital Object Identifier (DOI)

  • 10.1016/j.ecolmodel.2005.03.027

Citation Source

  • Scopus