Evidence map›Paper›PMID 39006748›Full record

ArticleAnnals of the Entomological Society of America2024

Bee monitoring by community scientists: comparing a collections-based program with iNaturalist.

Nash E Turley, Sarah E Kania, Isabella R Petitta, Elizabeth A Otruba, David J Biddinger, Thomas M Butzler, Valerie V Sesler, Margarita M López-Uribe

Abstract read
In one paragraph

Article in Annals of the Entomological Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Nash E TurleyDepartment of Entomology, The Pennsylvania State University, University Park, PA, USA.ORCID https://orcid.org/0000-0001-7318-8786
Sarah E KaniaDepartment of Entomology, The Pennsylvania State University, University Park, PA, USA.
Isabella R PetittaIntercollege Graduate Degree Program in Ecology, The Pennsylvania State University, University Park, PA, USA.ORCID https://orcid.org/0009-0001-5466-6313
Elizabeth A OtrubaDepartment of Entomology, The Academy of Natural Sciences of Drexel University, Philadelphia, PA, USA.
David J BiddingerDepartment of Entomology, The Pennsylvania State University, University Park, PA, USA.
Thomas M ButzlerPenn State Extension, The Pennsylvania State University, University Park, PA, USA.
Valerie V SeslerPenn State Extension, The Pennsylvania State University, University Park, PA, USA.
Margarita M López-UribeDepartment of Entomology, The Pennsylvania State University, University Park, PA, USA.ORCID https://orcid.org/0000-0002-8185-2904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bee monitoring, or widespread efforts to document bee community biodiversity, can involve data collection using lethal (specimen collections) or non-lethal methods (observations, photographs). Additionally, data can be collected by professional scientists or by volunteer participants from the general public. Collection-based methods presumably produce more reliable data with fewer biases against certain taxa, while photography-based approaches, such as data collected from public natural history platforms like iNaturalist, can involve more people and cover a broader geographic area. Few efforts have been made to quantify the pros and cons of these different approaches. We established a community science monitoring program to assess bee biodiversity across the state of Pennsylvania (USA) using specimen collections with nets, blue vane traps, and bowl traps. We recruited 26 participants, mostly Master Gardeners, from across the state to sample bees after receiving extensive training on bee monitoring topics and methods. The specimens they collected were identified to species, stored in museum collections, and the data added to public databases. Then, we compared the results from our collections to research-grade observations from iNaturalist during the same time period (2021 and 2022). At state and county levels, we found collections data documented over twice as much biodiversity and novel baseline natural history data (state and county records) than data from iNaturalist. iNaturalist data showed strong biases toward large-bodied and non-native species. This study demonstrates the value of highly trained community scientists for collections-based research that aims to document patterns of bee biodiversity over space and time.

Indexed as

AnthophilaApoideabee monitoringbiodiversitycommunity science

Identifiers

PMID39006748
PMCPMC11238606

What OpenQuestion holds

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Registered trials

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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.