The Elemental Composition of Land Plants: A Global Database and Meta-analysis

High Resolution Image Download MS PowerPoint Slide Although plants likely take up all elements present in the soil environment, the elemental composition of land plants remains poorly characterized beyond essential nutrients. A comprehensive global database of plant tissue concentrations spanning 52 elements was compiled from 5,474 samples across 73 countries, 21 climate classes, and 26 soil groups. Robust global means for macronutrients, micronutrients, transition and heavy metals, metalloids, and rare earth elements are reported using mixed-effects models that account for study level variation. Global concentrations are also reported for roots and shoots, domesticated and wild plants, edible and nonedible plants, N-fixation symbiosis, and for various plant types including trees, shrubs, vines, forbs, sedges, grasses, ferns, and mosses. Many nonessential elements (i.e. transition metals, rare earth elements) exist in plant tissues in higher concentrations than micronutrients, with 20 elements higher than Mo. Phylogenetic analyses across major plant lineages revealed strong evolutionary constraints on elemental composition, with Ornstein–Uhlenbeck models indicating stabilizing selection toward lineage-specific optima for most elements. The plant elements most likely to predict taxonomic grouping through unsupervised machine learning (XGBoost) followed S > Ca > N > Zn > Ba > Cu > Pb > Sb > Cd > P. Multivariate ordinations separated domesticated crops from wild species, driven primarily by macronutrient enrichment in crops. Further, key atomic ratios differed between domesticated and wild plants, driven by differences in Zn:Cd, K:Na, N:S, and N:P. Systematic hyperaccumulator identification revealed 53 species across diverse taxa, with high Ni, Cu, and Pb uptake as the most prevalent indicator of hyperaccumulation. The study provides reliable and comprehensive estimates of the elemental composition of land plants and highlights that lesser studied elements constitute a considerable fraction of plant tissues.

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Publication Details

Journal
ACS Environmental Au
Published
2026-07-23
DOI
https://doi.org/10.1021/acsenvironau.6c00028
Primary Topic
Heavy Metals in Plants
Type
article
Field-Weighted Citation Impact
0.00

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article

The Elemental Composition of Land Plants: A Global Database and Meta-analysis

Julie A. Howe, Harrison R. Coker, Colin Lennox, Borja Barbero Barcenilla et al.
ACS Environmental Au
Heavy Metals in Plants
article

The Elemental Composition of Land Plants: A Global Database and Meta-analysis

Julie A. Howe, Harrison R. Coker, Colin Lennox, Borja Barbero Barcenilla, R. Rivero, Aenghus C. Denvir, Anna Lewkowicz, Patrick Grove, Marina López-Pozo, Luke G. Whiteley, Artemi Jaumà-Palomeras, Amir M. Mokhtari, Kristina Mikhailova
article en

Abstract

High Resolution Image Download MS PowerPoint Slide Although plants likely take up all elements present in the soil environment, the elemental composition of land plants remains poorly characterized beyond essential nutrients. A comprehensive global database of plant tissue concentrations spanning 52 elements was compiled from 5,474 samples across 73 countries, 21 climate classes, and 26 soil groups. Robust global means for macronutrients, micronutrients, transition and heavy metals, metalloids, and rare earth elements are reported using mixed-effects models that account for study level variation. Global concentrations are also reported for roots and shoots, domesticated and wild plants, edible and nonedible plants, N-fixation symbiosis, and for various plant types including trees, shrubs, vines, forbs, sedges, grasses, ferns, and mosses. Many nonessential elements (i.e. transition metals, rare earth elements) exist in plant tissues in higher concentrations than micronutrients, with 20 elements higher than Mo. Phylogenetic analyses across major plant lineages revealed strong evolutionary constraints on elemental composition, with Ornstein–Uhlenbeck models indicating stabilizing selection toward lineage-specific optima for most elements. The plant elements most likely to predict taxonomic grouping through unsupervised machine learning (XGBoost) followed S > Ca > N > Zn > Ba > Cu > Pb > Sb > Cd > P. Multivariate ordinations separated domesticated crops from wild species, driven primarily by macronutrient enrichment in crops. Further, key atomic ratios differed between domesticated and wild plants, driven by differences in Zn:Cd, K:Na, N:S, and N:P. Systematic hyperaccumulator identification revealed 53 species across diverse taxa, with high Ni, Cu, and Pb uptake as the most prevalent indicator of hyperaccumulation. The study provides reliable and comprehensive estimates of the elemental composition of land plants and highlights that lesser studied elements constitute a considerable fraction of plant tissues.

ACS Environmental Au
Forest Institute (US), Texas A&M University System (US), Cornell University (US), University of Michigan (US), Mitchell Institute (US), University of Colorado System (US), ETH Zurich (CH), Centre François Baclesse (LU), Institute of Dendrology (PL), Institut thématique Génétique, génomique et bioinformatique (FR), Texas A&M University (US), Universitat Politècnica de Catalunya (ES), Polish Academy of Sciences (PL)
National Aeronautics and Space Administration
Zero hunger
Openalex Percentile: Top 13%
Heavy Metals in Plants
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