Fractal analysis of the root architecture of Gliricidia sepium for the spatial prediction of root branching, size and mass: model development and evaluation in agroforestry

Citation
H. Ozier-lafontaine et al., Fractal analysis of the root architecture of Gliricidia sepium for the spatial prediction of root branching, size and mass: model development and evaluation in agroforestry, PLANT SOIL, 209(2), 1999, pp. 167-180
Citations number
35
Categorie Soggetti
Environment/Ecology
Journal title
PLANT AND SOIL
ISSN journal
0032079X → ACNP
Volume
209
Issue
2
Year of publication
1999
Pages
167 - 180
Database
ISI
SICI code
0032-079X(1999)209:2<167:FAOTRA>2.0.ZU;2-Y
Abstract
Based on fractal and pipe model assumptions, a static three-dimensional mod el of the Gliricidia sepium root system was developed, in order to provide a basis for the prediction of root branching, size and mass in an alley cro pping system. The model was built from observations about the topology, bra nching rules, link length and diameter, and root orientation, provided by i n situ and extracted root systems. Evaluation tests were carried out at the plant level and at the field level. These tests principally concerned coef ficients alpha and q - the proportionality factor alpha between total cross -sectional area of a root before and after branching, and allocation parame ter q that defines the partitioning of biomass between the new links after a branching event - that could be considered as key variables of this fract al approach. Although independent of root diameter, these coefficients show ed a certain variability that may affect the precision of the predictions. When calibrated, however, the model provided suitable predictions of root d ry matter, total root length and root diameter at the plant level. At the f ield level, the simulation of 2D root maps was accurate for root distributi on patterns, but the number of simulated root dots was underestimated in th e surface layers. Hence recommendations were made to improve the model with regard to alpha and q. This static approach appeared to be well suited to study the root system of adult trees. Compared with explicit models, the ma in advantage of the fractal approach is its plasticity and ease of use.