Toward a Functional Trait Approach to Bee Ecology.

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.