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管理的蜜蜂蜂场中瓦螨强度的时空、环境和行为预测因素。

Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries.

作者信息

Boehm Vock Laura, Mossman Lauren M, Rapti Zoi, Dolezal Adam G, Clifton Sara M

机构信息

Department of Mathematics, Statistics, and Computer Science, St. Olaf College, Northfield, Minnesota, United States of America.

Department of Mathematics, University of California Davis, Davis, California, United States of America.

出版信息

PLoS One. 2025 Aug 7;20(8):e0325801. doi: 10.1371/journal.pone.0325801. eCollection 2025.

Abstract

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.

摘要

蜜蜂通过授粉服务和蜂蜜生产为世界经济做出了重大贡献。仅在美国,蜜蜂授粉估计每年至少贡献110亿美元,主要是通过对特色作物的授粉。然而,由于疾病、杀虫剂和其他环境因素,养蜂人每个季节都会损失大约一半的蜂箱。在这里,我们探索并验证了一个关于管理的蜜蜂蜂群中狄斯瓦螨负担(每300只蜜蜂中的螨虫数量)的时空统计模型,探讨环境因素和养蜂人行为的影响。我们使用2018 - 2019年在伊利诺伊州收集的蜂场检查数据来研究狄斯瓦螨感染的风险因素,并使用2020 - 2021年的检查数据来测试模型。在考虑了空间和时间趋势后,我们发现大多数环境因素(如花卉质量、杀虫剂负荷)并不能预测狄斯瓦螨的强度,而附近蜂场数量较少以及一些养蜂人行为(如补充喂养和螨虫监测/处理)对狄斯瓦螨有预防作用。有趣的是,虽然监测和治疗狄斯瓦螨有预防作用,但不监测就治疗并不比完全不治疗更有效。这是一个支持综合虫害管理(IPM)方法的重要结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59dd/12331053/f10f2a2d309d/pone.0325801.g001.jpg

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