TY - JOUR
T1 - Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries
AU - Vock, Laura Boehm
AU - Mossman, Lauren M.
AU - Rapti, Zoi
AU - Dolezal, Adam G.
AU - Clifton, Sara M.
N1 - This work was funded by the NSF-DMS Award No. 1815764 (ZR) (https://www.nsf.gov/div/index.jsp?div=DMS), the NSF GEMS Award No. 2022049 (AGD) (https://www.nsf.gov/awardsearch/showAward? AWD_ID=2022049&HistoricalAwards=false), C3.ai Inc. (ZR) https://c3.ai and the Microsoft Corporation (ZR) https://www.microsoft.com/ through the C3.ai Digital Transformation Institute in 2020, St. Olaf College Collaborative Undergraduate Research and Inquiry award (SMC) (https://wp.stolaf.edu/curi/), and the data collection was funded by Illinois Specialty Crop Block Grant Award SC-20-10 (AGD) (https://agr. illinois.gov/assistance/illinoisfarmprograms/ specialty-crop-grants.html). The funders played no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors thank Marco Ruiz and Meredith Frey for early contributions to modeling. The authors also greatly appreciate Charlotte Blake for scraping Beescape environmental data.
PY - 2025/8
Y1 - 2025/8
N2 - Honey bees contribute substantially to the world economy through pollination services and honey production. In the U.S. alone, honey bee pollination is estimated to contribute at least $11 billion annually, primarily through the pollination of specialty crops. However, beekeepers lose about half of their hives every season due to disease, insecticides, and other environmental factors. Here, we explore and validate a spatiotemporal statistical model of Varroa destructor mite burden (in mites/300 bees) in managed honey bee colonies, exploring the impact of both environmental factors and beekeeper behaviors. We examine risk factors for Varroa infestation using apiary inspection data collected across the state of Illinois over 2018–2019, and we test the models using inspection data from 2020–2021. After accounting for spatial and temporal trends, we find that most environmental factors (e.g., floral quality, insecticide load) are not predictive of Varroa intensity, while lower numbers of nearby apiaries and several beekeeper behaviors (e.g., supplemental feeding and mite monitoring/treatment) are protective against Varroa. Interestingly, while monitoring and treating for Varroa is protective, treating without monitoring is no more effective than not treating at all. This is an important result supporting Integrated Pest Management (IPM) approaches.
AB - Honey bees contribute substantially to the world economy through pollination services and honey production. In the U.S. alone, honey bee pollination is estimated to contribute at least $11 billion annually, primarily through the pollination of specialty crops. However, beekeepers lose about half of their hives every season due to disease, insecticides, and other environmental factors. Here, we explore and validate a spatiotemporal statistical model of Varroa destructor mite burden (in mites/300 bees) in managed honey bee colonies, exploring the impact of both environmental factors and beekeeper behaviors. We examine risk factors for Varroa infestation using apiary inspection data collected across the state of Illinois over 2018–2019, and we test the models using inspection data from 2020–2021. After accounting for spatial and temporal trends, we find that most environmental factors (e.g., floral quality, insecticide load) are not predictive of Varroa intensity, while lower numbers of nearby apiaries and several beekeeper behaviors (e.g., supplemental feeding and mite monitoring/treatment) are protective against Varroa. Interestingly, while monitoring and treating for Varroa is protective, treating without monitoring is no more effective than not treating at all. This is an important result supporting Integrated Pest Management (IPM) approaches.
UR - https://www.scopus.com/pages/publications/105012549861
UR - https://www.scopus.com/pages/publications/105012549861#tab=citedBy
U2 - 10.1371/journal.pone.0325801
DO - 10.1371/journal.pone.0325801
M3 - Article
C2 - 40773513
AN - SCOPUS:105012549861
SN - 1932-6203
VL - 20
JO - PloS one
JF - PloS one
IS - 8 August
M1 - e0325801
ER -