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Bee monitoring by community scientists: comparing a collections-based program with iNaturalist
Journal article   Open access   Peer reviewed

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 and Margarita M. Lopez-Uribe
Annals of the Entomological Society of America, v 117(4), pp 220-233
11 Jul 2024
PMID: 39006748
url
https://doi.org/10.1093/aesa/saae014View
Published, Version of Record (VoR) Open

Abstract

Life Sciences & Biomedicine Science & Technology Entomology
Bee monitoring, or widespread efforts to document bee community biodiversity, can involve data collection using lethal (specimen collections) or nonlethal 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 towards large-bodied and nonnative 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.

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InCites Highlights

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Collaboration types
Domestic collaboration
Web of Science research areas
Entomology
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