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  3. Movetraits-a Database For Integrating Animal Behaviour Into Trait-based Ecology.
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  3. Movetraits-a Database For Integrating Animal Behaviour Into Trait-based Ecology.

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MoveTraits-A Database for Integrating Animal Behaviour Into Trait-Based Ecology.

Larissa T Beumer1,2, Anne G Hertel3, Raphaël Royauté4

  • 1Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.

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|December 31, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Integrating animal movement traits into ecology advances trait-based research and global change predictions. A new database standardizes movement data, enhancing biodiversity assessments and conservation efforts.

Keywords:
Essential Biodiversity VariablesFAIR databiodiversitybiologgingglobal changeinteroperabilitymacroecologymovement ecologyrepositorytrait data

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Movement Ecology

Background:

  • Trait-based ecology is crucial for understanding eco-evolutionary processes.
  • Animal behavior significantly influences ecosystem dynamics but is often overlooked in trait-based approaches.
  • Standardized movement traits derived from biologging data can integrate behavior into ecological frameworks.

Purpose of the Study:

  • To propose and demonstrate the integration of animal behavior into trait-based ecology using movement traits.
  • To introduce a vision for a 'living' global movement trait database for enhanced data curation and accessibility.
  • To showcase the potential of movement traits for understanding species' responses to environmental change and improving biodiversity assessments.

Main Methods:

  • Defined movement traits as standardized, comparable measures of animal movement (e.g., daily displacements, range sizes) from biologging data.
  • Outlined a framework for a continuously growing database that calculates traits from individual-level data using consistent methodology.
  • Developed a proof-of-concept 'MoveTraits' database for 52 mammal and 97 bird species, calculating five traits across multiple timescales.

    • Main Results:

    • Demonstrated the feasibility of calculating standardized movement traits from biologging data.
    • Showcased multi-level trait variation (species, individual, within-individual).
    • Highlighted the potential of movement traits to quantify behavioral reaction norms and assess adaptive capacity.

    Conclusions:

    • Movement traits offer a powerful way to integrate behavior into trait-based ecology, advancing research on species interactions, community structure, and ecosystem functioning.
    • A global movement trait database can improve trait data curation, enhance global change predictions, and contribute to biodiversity assessments as Essential Biodiversity Variables.
    • Making animal movement data accessible and interpretable via such databases can bridge the gap between movement ecology and conservation policy.