Data from: Contrasting molecular-level carbon traits underlying leaf and root economic strategies in a subtropical forest
Data files
Jun 25, 2026 version files 30.36 KB
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README.md
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Wang_et_al-2026-data.xlsx
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Abstract
Carbon constitutes the biochemical basis of plant survival and evolution. Plant trait-based economic frameworks have revealed divergent strategic trade-offs in leaves (leaf economics spectrum, LES) and roots (root economics space, RES). However, how carbon molecular compounds coordinate with organ-specific economic strategies and whether they follow similar biochemical foundations remain unknown.
We employed the solid-state 13C nuclear magnetic resonance to quantify key carbon functional groups in leaves and roots across 13 coexisting subtropical tree species, and assess their coordination with LES and RES.
The results showed contrasting coordination of carbon traits with economic strategies in leaves and roots. Specifically, leaves with the acquisitive strategy prioritized physiologically active and nitrogen-rich carbon over structural carbohydrates for longevity maintenance, while defense carbon compounds decoupled from the LES. However, roots exhibited a primary trade-off where bioactive carbon aligned against defense compounds along the conservation gradient. Orthogonally, root structural carbohydrate proportions traded off against carbon molecular diversity, aligning to the root collaboration gradient from “do-it-yourself” soil exploration to collaboration with mycorrhizal fungi.
These findings highlight divergent carbon bases in shaping above- and belowground multidimensional economics trait space, providing new mechanistic insights into whole-plant strategic trade-offs that govern plant adaptations and species coexistence in heterogeneous environments.
Authors: Guangru Wang, Han Yang, Peipei Zhang, Jipeng Wang, Dungang Wang, Huajun Yin
*Correspondence: Guangruwang77@163.com
This dataset comprises molecular-level carbon traits of leaves and roots, quantified via solid‑state ¹³C nuclear magnetic resonance (NMR) spectroscopy. These traits include the relative proportions of alkyl, N‑alkyl/methoxyl, O‑alkyl, di‑O‑alkyl, aromatic, O‑aromatic, and carbonyl/carboxyl carbon, as well as the shannon diversity of carbon traits. In addition, the dataset includes corresponding functional traits for leaves (specific leaf area, leaf thickness, leaf dry matter content, and leaf nitrogen concentration) and absorptive fine roots (specific root length, root diameter, root tissue density, and root nitrogen concentration). All measurements were conducted on 13 subtropical tree species.
Description of the data structure
File: Wang_et_al-2026-data.xlsx
Description:
The dataset is organized into two separate sheets: Sheet 1 (leaf traits) contains leaf data , and Sheet 2 (root traits) contains root data.
Variables:
Carbon traits (both sheets):
Relative proportions of carbon functional groups all expressed as percentages (%). These were quantified via solid‑state ¹³C nuclear magnetic resonance (NMR) spectroscopy.
- alkyl
- N-alkyl/methoxyl
- O-alkyl
- di-O-alkyl
- aromatic
- O-aromatic
- carbonyl/carboxyl
- Shannon diversity: carbon diversity index
Leaf functional traits (Sheet 1):
- SLA: specific leaf area (cm² g⁻¹)
- LT: leaf thickness (cm)
- LDMC: leaf dry matter content (mg g⁻¹)
- LNC: leaf nitrogen concentration (%)
Root functional traits (Sheet 2):
- RD: absorptive fine root diameter (mm)
- SRL: specific root length of absorptive fine roots (m g⁻¹)
- RTD: tissue density of absorptive fine roots (g cm⁻³)
- RN: nitrogen concentration of absorptive fine roots (%)
Sharing/access Information
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