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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao New Phytologistarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
New Phytologist
Article . 2025 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
New Phytologist
Article . 2026
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Plant trait multilayer networks: a new framework for understanding multidimensional plant trait coordination

Authors: Yan He; Yu Xia; Zhaogang Liu; Rui Yang; Jiangshan Lai; Lingfeng Mao;

Plant trait multilayer networks: a new framework for understanding multidimensional plant trait coordination

Abstract

Summary Plant functional traits are important to understanding biodiversity and ecosystem functioning responses to global change. However, traditional plant trait network (PTN) theory does not adequately capture coordinated adjustment mechanisms operating among traits across multiple organs and functional systems. To address this challenge, we introduce the use of plant trait multilayer networks (PTMNs). This innovative framework systematically integrates multilayer network theory with plant functional trait analysis, enabling quantitative assessments of trait relationships across plant organs and functional systems. We applied both traditional PTN and PTMN analyses to a dataset of 76 native and non‐native woody species in North American deciduous forests, examining relationships among leaf, stem, and root traits. PTN results showed that non‐native species already displayed higher connectivity and integration within single‐layer networks, while PTMN analysis further revealed stronger cross‐layer links and more efficient coordination across multiple organs and functional systems, indicating enhanced integrative capacity and adjustment potential in non‐native species. In conclusion, by analyzing trait interdependencies across organs and functional systems, PTMNs provide a comprehensive framework for understanding the complex ways plants respond to environmental change, thereby enhancing predictions of biodiversity patterns and ecosystem resilience.

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Keywords

Plant Leaves, Quantitative Trait, Heritable, Plants, Plant Roots

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Related to Research communities
Italian National Biodiversity Future Center
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