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TRY plant trait database - enhanced coverage and open access.

Jens Kattge1,2, Gerhard Bönisch1, Sandra Díaz3

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Summary
This summary is machine-generated.

The TRY plant trait database offers extensive data but has gaps in continuous traits crucial for ecological research. Addressing these data deficiencies requires collaborative efforts in data collection and mobilization.

Keywords:
TRY plant trait databasedata coveragedata integrationdata representativenessfunctional diversityplant traits

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Plant Biology

Background:

  • Plant traits are fundamental to understanding plant responses to the environment, interactions with other trophic levels, and ecosystem functions.
  • The TRY plant trait database, established in 2007, is a primary global resource for plant trait data, supporting diverse research areas.
  • The database has expanded significantly, offering open access and facilitating new trait-based research, including identifying and addressing data gaps.

Purpose of the Study:

  • To evaluate the extent and patterns of data coverage and representativeness within the TRY plant trait database.
  • To identify areas where data gaps and biases exist, particularly for continuous plant traits.

Main Methods:

  • Analysis of the existing data within the TRY database.
  • Assessment of species coverage for different types of plant traits (categorical vs. continuous).
  • Evaluation of trait representativeness in relation to ecological and vegetation modeling needs.

Main Results:

  • Categorical traits, such as 'plant growth form', show nearly complete species coverage.
  • Continuous traits, essential for ecological and vegetation modeling, exhibit significant gaps in completeness and representativeness.
  • Despite extensive data, the database lacks comprehensive coverage for traits requiring in-situ measurement on individual plants.

Conclusions:

  • Reducing data gaps and biases in the TRY database is a critical challenge for advancing trait-based plant research.
  • A coordinated approach involving data mobilization and standardized trait measurements is necessary.
  • Collaboration with other research initiatives is essential to achieve comprehensive and representative plant trait data.