Preprints
https://doi.org/10.5194/essd-2025-754
https://doi.org/10.5194/essd-2025-754
03 Feb 2026
 | 03 Feb 2026
Status: this preprint is currently under review for the journal ESSD.

TraitCH: a multi-taxa functional trait dataset for Switzerland and Europe

Yohann Chauvier-Mendes, Antoine Adde, Ariel Bergamini, Gerhard Rambold, Silvia Stofer, Ninetta Graf, Andrin Gross, Stefan Blaser, Stuart P. M. Roberts, Simon G. Potts, Joan Casanelles-Abella, Marco Moretti, Michael P. Nobis, Jean-Paul Theurillat, Heike Hofmann, Ann-Michelle Hartwig, Francois Claude, Gauvain Saucy, and Florian Altermatt

Abstract. Functional traits of species are becoming increasingly used in ecological research, providing key insights into organisms-environment interactions, ecosystem functions, and responses to environmental changes. In recent years, substantial initiatives have generated major open-access datasets of species' functional traits. However, these resources typically concentrate on a handful of well-studied biological groups—such as plants, birds, and fishes—and less on specific biogeographic regions limiting their applicability in regional biodiversity assessments and conservation planning. Here, we present TraitCH, a comprehensive dataset of functional traits spanning over 71,874 species (≥ 1 functional trait) across 17 major taxonomic groups: Apocrita (2,278), Arachnida (3,728), Coleoptera (8,565), Ephemeroptera/Plecoptera/Trichoptera (1,349), Lepidoptera (3,757), Odonata (234), Orthoptera (1,283), Bryobiotina (2,285), Fungi (12,469), Lichen (2,435), Mollusca (7,493), Pisces (838), Amphibia (151), Aves (1,356), Mammalia (522), Reptilia (298), and Tracheophyta (22,833). Compiled from 43 published and unpublished sources, TraitCH provides a robust representation of total species richness and composition for Switzerland and Europe. For each species, we compiled their taxonomic hierarchy, existing synonymy, geographic origin, conservation status, micro- and macro-habitat types, global range size and available ecological trait values. TraitCH consists of 17 trait tables (one per major taxonomic group), each available in two formats: (1) original and (2) completed versions with missing trait values imputed using a tree-based modelling method. TraitCH was also embedded within a comprehensive checklist of European species from the same groups (~210,000 taxa), encompassing authoritative Swiss and European checklists, with the exception of Fungi and Lichen, for which only Swiss checklists were available. TraitCH is available on Zenodo: https://doi.org/10.5281/zenodo.15063844 (Chauvier et al., 2025).

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Yohann Chauvier-Mendes, Antoine Adde, Ariel Bergamini, Gerhard Rambold, Silvia Stofer, Ninetta Graf, Andrin Gross, Stefan Blaser, Stuart P. M. Roberts, Simon G. Potts, Joan Casanelles-Abella, Marco Moretti, Michael P. Nobis, Jean-Paul Theurillat, Heike Hofmann, Ann-Michelle Hartwig, Francois Claude, Gauvain Saucy, and Florian Altermatt

Status: open (until 12 Mar 2026)

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Yohann Chauvier-Mendes, Antoine Adde, Ariel Bergamini, Gerhard Rambold, Silvia Stofer, Ninetta Graf, Andrin Gross, Stefan Blaser, Stuart P. M. Roberts, Simon G. Potts, Joan Casanelles-Abella, Marco Moretti, Michael P. Nobis, Jean-Paul Theurillat, Heike Hofmann, Ann-Michelle Hartwig, Francois Claude, Gauvain Saucy, and Florian Altermatt

Model code and software

TraitCH Yohann Chauvier-Mendes https://github.com/8Ginette8/TraitCH

Yohann Chauvier-Mendes, Antoine Adde, Ariel Bergamini, Gerhard Rambold, Silvia Stofer, Ninetta Graf, Andrin Gross, Stefan Blaser, Stuart P. M. Roberts, Simon G. Potts, Joan Casanelles-Abella, Marco Moretti, Michael P. Nobis, Jean-Paul Theurillat, Heike Hofmann, Ann-Michelle Hartwig, Francois Claude, Gauvain Saucy, and Florian Altermatt
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Latest update: 03 Feb 2026
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Short summary
TraitCH is a large, free database describing how 71,874 species live — their morphologies, habitats, ranges and conservation status — across 17 species groups (from plants and fungi to birds and beetles). Pulled from 43 published/unpublished sources and for Switzerland and Europe, it fills important data gaps and makes it easy for scientists, conservationists and nature lovers to explore and protect biodiversity.
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