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利用 BEEHAVE 模型模拟大规模蜜蜂群体饲养研究 - 第二部分:越冬结果分析。

Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model-Part II: Analysis of Overwintering Outcomes.

机构信息

Waterborne Environmental, Leesburg, Virginia, USA.

Syngenta Crop Protection, Greensboro, North Carolina, USA.

出版信息

Environ Toxicol Chem. 2020 Nov;39(11):2286-2297. doi: 10.1002/etc.4844. Epub 2020 Sep 22.

Abstract

Large-scale colony feeding studies (LSCFSs) aim to assess potential pesticide exposure to and effects on honey bees at the colony level. However, these studies are sometimes affected by high losses of control colonies, indicating that other stressors may impact colonies and confound the analysis of potential pesticide impacts. We assessed the study design and environmental conditions experienced by the untreated control colonies across 7 LSCFSs conducted in North Carolina (USA). Overwintering success differed considerably among the studies, as did their initial colony conditions, amount and timing of sugar feeding, landscape composition, and weather. To assess the effects of these drivers on control colonies' overwintering success, we applied the mechanistic colony model BEEHAVE. Sugar feedings and initial status of the simulated colonies were more important for fall colony condition than were landscape and weather. Colonies that had larger colony sizes and honey stores in the fall were those that began with larger honey stores, were provided more sugar, and had supplemental feedings before the fall. This information can be used to inform the standardization of a study design, which can increase the likelihood of overwintering survival of controls and help ensure that LSCFSs are comparable. Our study demonstrates how a mechanistic model can be used to inform study designs for higher tier effects studies. Environ Toxicol Chem 2020;39:2286-2297. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

摘要

大规模蜂群饲养研究(LSCFS)旨在评估潜在的农药对蜂群的暴露和影响。然而,这些研究有时会受到对照蜂群大量损失的影响,这表明其他压力源可能会对蜂群产生影响,并混淆对潜在农药影响的分析。我们评估了在北卡罗来纳州(美国)进行的 7 项 LSCFS 中未处理对照蜂群的研究设计和所经历的环境条件。不同研究的越冬成功率差异很大,初始蜂群条件、糖的喂养量和时间、景观组成和天气也不同。为了评估这些因素对对照蜂群越冬成功率的影响,我们应用了机械蜂群模型 BEEHAVE。糖的喂养和模拟蜂群的初始状态对秋季蜂群状况的影响大于景观和天气。秋季蜂群规模较大且蜂蜜存量较多的蜂群,其开始时蜂蜜存量较大,获得的糖较多,并且在秋季前进行了补充喂养。这些信息可用于为研究设计提供信息,这可以提高对照蜂群越冬存活率的可能性,并有助于确保 LSCFS 具有可比性。我们的研究表明,机械模型如何用于为更高层次的效应研究提供信息。环境毒理学与化学 2020;39:2286-2297。©2020 作者。环境毒理学与化学由 Wiley 期刊出版公司代表 SETAC 出版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/7702061/8b165e0d1857/ETC-39-2286-g001.jpg

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