Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries.
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...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0325801 |
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| author | Laura Boehm Vock Lauren M Mossman Zoi Rapti Adam G Dolezal Sara M Clifton |
| author_facet | Laura Boehm Vock Lauren M Mossman Zoi Rapti Adam G Dolezal Sara M Clifton |
| author_sort | Laura Boehm Vock |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bc36ad3ee4db490181ebcce0f86d3056 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-bc36ad3ee4db490181ebcce0f86d30562025-08-23T05:31:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01208e032580110.1371/journal.pone.0325801Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries.Laura Boehm VockLauren M MossmanZoi RaptiAdam G DolezalSara M CliftonHoney 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.https://doi.org/10.1371/journal.pone.0325801 |
| spellingShingle | Laura Boehm Vock Lauren M Mossman Zoi Rapti Adam G Dolezal Sara M Clifton Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. PLoS ONE |
| title | Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. |
| title_full | Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. |
| title_fullStr | Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. |
| title_full_unstemmed | Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. |
| title_short | Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. |
| title_sort | spatiotemporal environmental and behavioral predictors of varroa mite intensity in managed honey bee apiaries |
| url | https://doi.org/10.1371/journal.pone.0325801 |
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