Toward a Functional Trait Approach to Bee Ecology.

Autor: Ostwald MM; Cheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA., Gonzalez VH; Undergraduate Biology Program and Department of Ecology and Evolutionary Biology University of Kansas Lawrence Kansas USA., Chang C; Cheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA., Vitale N; Instituto Argentino de Investigaciones de Las Zonas Áridas, CONICET Mendoza Argentina., Lucia M; División Entomología, Laboratorio Anexo Museo de La Plata Universidad Nacional de La Plata, CONICET La Plata Argentina., Seltmann KC; Cheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA.
Jazyk: angličtina
Zdroj: Ecology and evolution [Ecol Evol] 2024 Oct 18; Vol. 14 (10), pp. e70465. Date of Electronic Publication: 2024 Oct 18 (Print Publication: 2024).
DOI: 10.1002/ece3.70465
Abstrakt: 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.
Competing Interests: The authors declare no conflicts of interest.
(© 2024 The Author(s). Ecology and Evolution published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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