ArticleForestry research2023
Leaf mechanical properties as potential predictors of leaf-litter decomposability.
Article in Forestry research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Inspecting the differences in mechanical resistance between flowers and leaves by multiple mechanical testing and calibration methods.Annals of botany · 2026Article
- Understory Dwarf Bamboo Modulates Leaf Litter Decomposition via Interception-Induced Litter Redistribution and Space-Dependent Decomposition Dynamics: A Case Study from Jinfo Mountain, China.Plants (Basel, Switzerland) · 2025Article
- Light quality regulates growth and flavonoid content in a widespread forest understorey medicinal speciesFrontiers in plant science · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mechanical resistance of plant leaves to herbivores and physical disturbances have a lasting legacy impact on leaf-litter decomposition rates and nutrient leaching. However, in the past, leaf mechanics were seldom considered as key factors in regulating ecological processes related to leaf-litter decomposition. In this paper, we explored the physical strength traits of leaves, which are essential components of plant functional traits. These traits are primarily manifested through three mechanical properties: force to punch, force to tear, and work to shear. We discuss their potential applications in order to better understand trait-based factors influencing leaf-litter decomposition as well as other ecological processes. Their ecological connections and distinctions from other widely discussed plant functional traits relevant to decomposition processes were also addressed. By conducting an extensive literature survey, we further showed the importance and irreplaceability of leaf physical strength traits as potential predictors of leaf-litter decomposability compared with commonly measured plant chemical traits (e.g., carbon, nitrogen, and lignin). Recognizing leaf mechanics as vital yet previously overlooked determinants of ecological processes governing leaf-litter decomposition, we propose incorporating this set of traits into existing predictive models to improve the explanatory capability of plant species traits in regulating leaf-litter decomposition processes.
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