Evidence map›Paper›PMID 39429800›Full record

ReviewEcology and evolution2024

Toward a Functional Trait Approach to Bee Ecology.

Madeleine M Ostwald, Victor H Gonzalez, Carrie Chang, Nydia Vitale, Mariano Lucia, Katja C Seltmann

Abstract readReview
In one paragraph

Review in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Leveraging local species data, a global database, and an occupancy model to explore bee-plant interactions.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Madeleine M OstwaldCheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA.ORCID https://orcid.org/0000-0002-9869-8835
Victor H GonzalezUndergraduate Biology Program and Department of Ecology and Evolutionary Biology University of Kansas Lawrence Kansas USA.ORCID https://orcid.org/0000-0002-4146-1634
Carrie ChangCheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA.
Nydia VitaleInstituto Argentino de Investigaciones de Las Zonas Áridas, CONICET Mendoza Argentina.
Mariano LuciaDivisión Entomología, Laboratorio Anexo Museo de La Plata Universidad Nacional de La Plata, CONICET La Plata Argentina.
Katja C SeltmannCheadle Center for Biodiversity & Ecological Restoration University of California Santa Barbara California USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

open sciencephenotypepollinatorstrait data

Identifiers

PMID39429800
PMCPMC11487340

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.