Geometrical traits explain the variability in root–soil interaction of complex root architecture systems subjected to overturning

Abstract Aims Variability in the capacity of tree root anchorage, driven by differences in root system architecture (RSA), is closely associated with root geometrical traits, yet their role in root–soil interaction during overturning remains poorly understood. This study aims to (1) examine correlations between root geometrical traits and RSA’s overturning performance; (2) investigate how distinct root components contribute to anchorage; and (3) identify sources of variability in root anchorage and propose a combined trait to explain this variability. Methods An advanced root anchorage model was employed to realistically simulate root–soil interaction and assess root anchorage capacity. A total of 90 statistically different RSAs of Pinus pinaster trees were generated using a calibrated root growth model. Spearman’s correlation ( $$\rho$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ρ</mml:mi> </mml:math> ) was used to identify key geometrical traits influencing maximum overturning resistance ( $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> ). Results Substantial variabilities in root overturning resistance were observed. RSAs that mobilised greater $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> maintained greater residual resistance at larger rotations. Windward lateral roots played a critical role in anchorage, with their surface area, volume and cross-sectional area of broken root segments showing strong correlations with $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> . However, no single traits explained the variabilities in $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> . Conclusions Investigation of root–soil load transfer processes suggested that proximal lateral roots experienced axial pull-out, whilst distal lateral roots resisted overturning through bending. The deformation pattern of vertical root components (i.e. taproot and sinker) was closely associated with root aspect ratio. A new fourth-order combined trait, incorporating root volume, diameter, and embedded depth, was proposed to effectively capture the $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> variabilities.

Authors

Institutions

Publication Details

Journal
Plant and Soil
Published
2025-11-21
DOI
https://doi.org/10.1007/s11104-025-08009-x
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geometrical traits explain the variability in root–soil interaction of complex root architecture systems subjected to overturning

Yu Wang, Anthony Kwan Leung, Jun Zhu
Plant and Soil
Plant nutrient uptake and metabolism
article

Geometrical traits explain the variability in root–soil interaction of complex root architecture systems subjected to overturning

Yu Wang, Anthony Kwan Leung, Jun Zhu
article en

Abstract

Abstract Aims Variability in the capacity of tree root anchorage, driven by differences in root system architecture (RSA), is closely associated with root geometrical traits, yet their role in root–soil interaction during overturning remains poorly understood. This study aims to (1) examine correlations between root geometrical traits and RSA’s overturning performance; (2) investigate how distinct root components contribute to anchorage; and (3) identify sources of variability in root anchorage and propose a combined trait to explain this variability. Methods An advanced root anchorage model was employed to realistically simulate root–soil interaction and assess root anchorage capacity. A total of 90 statistically different RSAs of Pinus pinaster trees were generated using a calibrated root growth model. Spearman’s correlation ( $$\rho$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ρ</mml:mi> </mml:math> ) was used to identify key geometrical traits influencing maximum overturning resistance ( $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> ). Results Substantial variabilities in root overturning resistance were observed. RSAs that mobilised greater $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> maintained greater residual resistance at larger rotations. Windward lateral roots played a critical role in anchorage, with their surface area, volume and cross-sectional area of broken root segments showing strong correlations with $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> . However, no single traits explained the variabilities in $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> . Conclusions Investigation of root–soil load transfer processes suggested that proximal lateral roots experienced axial pull-out, whilst distal lateral roots resisted overturning through bending. The deformation pattern of vertical root components (i.e. taproot and sinker) was closely associated with root aspect ratio. A new fourth-order combined trait, incorporating root volume, diameter, and embedded depth, was proposed to effectively capture the $${M}_{p,max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> <mml:mi>a</mml:mi> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> </mml:math> variabilities.

Plant and SoilVol. 518(1)
Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
National Natural Science Foundation of China, Innovation and Technology Commission
Openalex Percentile: Top 74%
Plant nutrient uptake and metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.