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BeeFunc, a comprehensive trait database for French bees.

Lucas Aubouin1, David Genoud2, Bérénice Givord-Coupeau3

  • 1CEFE, CNRS (UMR 5175), Université de Montpellier, EPHE, IRD, 34293, Montpellier, France. lucas.aubouin@cefe.cnrs.fr.

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A new database, BeeFunc 1.0, synthesizes traits for all French wild bees. This resource helps understand wild bee vulnerability to human pressures and aids conservation efforts.

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Conservation Biology

Background:

  • Wild bee populations are declining globally.
  • Understanding wild bee vulnerability to human pressures is crucial for conservation.
  • A species-level trait database for French wild bees is lacking, hindering functional interpretation of biodiversity inventories.

Purpose of the Study:

  • To create the first comprehensive database of traits for the entire French wild bee fauna.
  • To facilitate the functional interpretation of wild bee inventories and assess their vulnerability to anthropogenic perturbations.
  • To provide a foundational resource for research, conservation, and management of wild bees in France.

Main Methods:

  • Compiled trait data from extensive literature research and expert knowledge.
  • Structured the database according to the French taxonomic register (TAXREF).
  • Included 20 features across morphology, ecology, biogeography, and conservation for 932 wild bee species.

Main Results:

  • Developed BeeFunc 1.0, a database containing 26,176 trait information points from 483 sources.
  • The database covers 932 wild bee species found in France.
  • Provides a standardized and accessible resource for functional trait data.

Conclusions:

  • BeeFunc 1.0 enables a functional perspective on wild bee populations in France.
  • The database is intended for collaborative updates and broad use by researchers, conservationists, and stakeholders.
  • Facilitates future research on wild bee ecology, vulnerability, and conservation strategies.