AI Article Synopsis

  • Functional traits are essential for understanding how ecosystems work and adapt to global changes, but inconsistent data standards hinder research in this area.
  • This text introduces a roadmap for creating community data standards specifically for trait-based research on bees, including a sharing protocol and an overview of current research gaps.
  • The authors highlight the need for standardized measurement methods and present a dataset containing morphological traits from over 1600 bee species, aimed at improving data accessibility and promoting collaborative ecological research on bees.

Article Abstract

Functional traits offer an informative framework for understanding ecosystem functioning and responses to global change. Trait data are abundant in the literature, yet many communities of practice lack data standards for trait measurement and data sharing, hindering data reuse that could reveal large-scale patterns in functional and evolutionary ecology. Here, we present a roadmap toward community data standards for trait-based research on bees, including a protocol for effective trait data sharing. We also review the state of bee functional trait research, highlighting common measurement approaches and knowledge gaps. These studies were overwhelmingly situated in agroecosystems and focused predominantly on morphological and behavioral traits, while phenological and physiological traits were infrequently measured. Studies investigating climate change effects were also uncommon. Along with our review, we present an aggregated morphological trait dataset compiled from our focal studies, representing more than 1600 bee species globally and serving as a template for standardized bee trait data presentation. We highlight obstacles to harmonizing this trait data, especially ambiguity in trait classes, methodology, and sampling metadata. Our framework for trait data sharing leverages common data standards to resolve these ambiguities and ensure interoperability between datasets, promoting accessibility and usability of trait data to advance bee ecological research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487340PMC
http://dx.doi.org/10.1002/ece3.70465DOI Listing

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