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MOSAIC - A Unified Trait Database to Complement Structured Population Models.

Connor Bernard1, Gabriel Silva Santos2,3,4, Jacques A Deere2,5

  • 1Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom. connor.bernard@biology.ox.ac.uk.

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|June 1, 2023
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Summary
This summary is machine-generated.

MOSAIC is a new open-access trait database that integrates ecological data from COMADRE, COMPADRE, and PADRINO. This database enhances the study of plant and animal demography and functional traits.

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Area of Science:

  • Ecology
  • Trait-based ecology
  • Demography

Background:

  • Ecological data availability is growing exponentially, yet interoperability remains a challenge.
  • Understanding the interplay between demography and functional traits requires integrated datasets.

Purpose of the Study:

  • Introduce MOSAIC, an open-access trait database designed to unlock demographic potential.
  • Facilitate research at the interface of demography and functional traits by integrating existing databases.

Main Methods:

  • Digitized and curated trait data from existing repositories (COMADRE, COMPADRE, PADRINO) and primary literature.
  • Integrated 14 trait fields for 300 animal and plant species, including biomass, height, and dispersal characteristics.
  • Included species-level phylogenies and population-specific climate data.

Main Results:

  • MOSAIC v. 1.0.0 provides a comprehensive dataset for 300 species.
  • Identified traits that are well-quantified versus those needing further research (e.g., growth determination, modularity).
  • Highlighted challenges in standardizing databases and demographic measures.

Conclusions:

  • Database integration, exemplified by MOSAIC, is crucial for advancing ecological research.
  • MOSAIC enhances our understanding of functional traits and their demographic implications.
  • Addressing standardization challenges is key for future data interoperability.