Root quantity traits: a leading dimension in root trait space

Plant resource uptake depends on the interplay between the quantity and quality of roots, yet their coordination at the community level remains poorly understood. Using standardized root cores across 20 diverse grassland sites on the Inner Mongolian Plateau and the Tibetan Plateau, we quantified community-level root quantity traits (mass, length, and nitrogen density per soil volume) and quality traits (specific root length (SRL), nitrogen concentration, and root tissue density (RTD)). The two regions differ markedly in soil, climate, and species composition. Community-level root traits clustered into three orthogonal dimensions. The root quantity dimension, reflecting carbon investment in roots for soil exploration, was correlated with soil nitrate concentration. Two root quality dimensions captured contrasting strategies: a foraging-efficiency dimension represented by a negative correlation between RTD and SRL, and an uptake-efficiency dimension related to root nitrogen concentration. Different from the quantity dimension, the efficiency dimensions were regulated by distinct environmental factors within each region, highlighting the context-dependency of root trait-environment interactions. Collectively, our findings show that community-level root strategies can be captured by a tri-dimensional root quantity-quality trait matrix, which represents a novel understanding of the community-level plant assemblies and their responses and adaptation to climate change.

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Publication Details

Journal
New Phytologist
Published
2026-03-11
DOI
https://doi.org/10.1111/nph.71073
Primary Topic
Plant nutrient uptake and metabolism
Type
article
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article

Root quantity traits: a leading dimension in root trait space

Xue Chun Wang, Neng He, Shuoxin Zhang, Zhibo Wang et al.
New Phytologist
Plant nutrient uptake and metabolism
article

Root quantity traits: a leading dimension in root trait space

Xue Chun Wang, Neng He, Shuoxin Zhang, Zhibo Wang, Deliang Kong, Ruili Wang, J. Hans C. Cornelissen, Qiang Li, Hans Lambers, Meixu Han, Guirui Yu, Tianyu Sun, Lawren Sack
article en

Abstract

Plant resource uptake depends on the interplay between the quantity and quality of roots, yet their coordination at the community level remains poorly understood. Using standardized root cores across 20 diverse grassland sites on the Inner Mongolian Plateau and the Tibetan Plateau, we quantified community-level root quantity traits (mass, length, and nitrogen density per soil volume) and quality traits (specific root length (SRL), nitrogen concentration, and root tissue density (RTD)). The two regions differ markedly in soil, climate, and species composition. Community-level root traits clustered into three orthogonal dimensions. The root quantity dimension, reflecting carbon investment in roots for soil exploration, was correlated with soil nitrate concentration. Two root quality dimensions captured contrasting strategies: a foraging-efficiency dimension represented by a negative correlation between RTD and SRL, and an uptake-efficiency dimension related to root nitrogen concentration. Different from the quantity dimension, the efficiency dimensions were regulated by distinct environmental factors within each region, highlighting the context-dependency of root trait-environment interactions. Collectively, our findings show that community-level root strategies can be captured by a tri-dimensional root quantity-quality trait matrix, which represents a novel understanding of the community-level plant assemblies and their responses and adaptation to climate change.

New Phytologist
University of California, Los Angeles (US), The University of Western Australia (AU), Chinese Academy of Sciences (CN), China Geological Survey (CN), North West Agriculture and Forestry University (CN), Henan Academy of Agricultural Sciences (CN), Institute of Soil and Water Conservation (CN), Evolutionary Genomics (United States) (US), State Forestry and Grassland Administration (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Henan Agricultural University (CN), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 25%
Plant nutrient uptake and metabolism
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