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Prediction of tree sapwood and heartwood profiles using pipe model and branch thinning theory.

Authors :
Aye TN
Brännström Å
Carlsson L
Source :
Tree physiology [Tree Physiol] 2022 Nov 08; Vol. 42 (11), pp. 2174-2185.
Publication Year :
2022

Abstract

Estimates of tree heartwood and sapwood profiles are important in the pulp industry and for dynamic vegetation models, in which they determine tree biomechanical stability and hydraulic conductivity. Several phenomenological models of stem profiles have been developed for this purpose, based on assumptions on how tree crown and foliage distributions change over time. Here, we derive estimates of tree profiles by synthesizing a simple pipe model theory of plant form with a recently developed theory of branch thinning that from simple assumptions quantifies discarded branches and leaves. This allows us to develop a new trunk model of tree profiles from breast height up to the top of the tree. We postulate that leaves that are currently on the tree are connected by sapwood pipes, while pipes that previously connected discarded leaves or branches form the heartwood. By assuming that a fixed fraction of all pipes remain on the trunk after a branching event, as the trunk is traversed from the root system to the tips, this allows us to quantify trunk heartwood and sapwood profiles. We test the trunk model performance on empirical data from five tree species across three continents. We find that the trunk model accurately describes heartwood and sapwood profiles of all tested tree species (calibration; R2: 84-99%). Furthermore, once calibrated to a tree species, the trunk model predicts heartwood and sapwood profiles of conspecific trees in similar growing environments based only on the age and height of a tree (cross-validation/prediction; R2: 68-98%). The fewer and often contrasting parameters needed for the trunk model make it a potentially useful complementary tool for biologists and foresters.<br /> (© The Author(s) 2022. Published by Oxford University Press.)

Subjects

Subjects :
Wood
Plant Leaves
Trees

Details

Language :
English
ISSN :
1758-4469
Volume :
42
Issue :
11
Database :
MEDLINE
Journal :
Tree physiology
Publication Type :
Academic Journal
Accession number :
35849036
Full Text :
https://doi.org/10.1093/treephys/tpac065