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Toward a Functional Trait Approach to Bee Ecology.

Madeleine M Ostwald1, Victor H Gonzalez2, Carrie Chang1

  • 1Cheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA.

Ecology and Evolution
|October 21, 2024
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Summary

Developing data standards for bee functional traits is crucial for understanding ecosystem responses to global change. This research proposes a roadmap and protocol for standardized trait measurement and data sharing to advance bee ecological studies.

Keywords:
open sciencephenotypepollinatorstrait data

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Conservation Biology

Background:

  • Functional traits are key to understanding ecosystem dynamics and responses to global change.
  • Existing bee functional trait research often lacks standardized data, hindering large-scale pattern discovery.
  • Data sharing is limited due to a lack of community-accepted standards for trait measurement and metadata.

Purpose of the Study:

  • To propose community data standards and a sharing protocol for bee functional trait research.
  • To review the current state of bee functional trait research, identifying common methods and knowledge gaps.
  • To facilitate the reuse of trait data for large-scale ecological and evolutionary analyses.

Main Methods:

  • Review of existing literature on bee functional trait research.
  • Compilation of an aggregated morphological trait dataset for over 1600 bee species.
  • Development of a framework leveraging common data standards for trait data sharing.

Main Results:

  • Most bee trait studies focus on agroecosystems and morphological/behavioral traits, with underrepresentation of phenological and physiological traits.
  • Climate change effects on bees are infrequently studied.
  • Obstacles to data harmonization include ambiguities in trait classes, methodology, and sampling metadata.

Conclusions:

  • Standardized data collection and sharing protocols are essential for advancing bee functional trait research.
  • The proposed framework addresses ambiguities and ensures data interoperability, promoting accessibility.
  • Standardized data will enhance our understanding of bee ecology and evolution in the face of global change.