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An Observational Study of Honey Bee Colony Winter Losses and Their Association with Varroa destructor Neonicotinoids and Other Risk Factors

机译:蜜蜂群体冬季损失及其与Varroa破坏因子新烟碱和其他危险因素的关系的观察性研究

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摘要

This article presents results of an analysis of honey bee losses over the winter of 2011-2012 in the Netherlands, from a sample of 86 colonies, located at 43 apiaries. The apiaries were selected using spatially stratified random sampling. Colony winter loss data were collected and related to various measures of colony strength recorded in summer, as well as data from laboratory analysis of sample material taken from two selected colonies in each of the 43 apiaries. The logistic regression model which best explained the risk of winter loss included, in order of statistical importance, the variables (1) Varroa destructor mite infestation rate in October 2011, (2) presence of the cyano-substituted neonicotinoids acetamiprid or thiacloprid in the first 2 weeks of August 2011 in at least one of the honey bee matrices honey, bees or bee bread (pollen), (3) presence of Brassica napus (oilseed rape) or Sinapis arvensis (wild mustard) pollen in bee bread in early August 2011, and (4) a measure of the unexplained winter losses for the postal code area where the colonies were located, obtained from a different dataset. We consider in the discussion that reduced opportunities for foraging in July and August because of bad weather may have added substantially to the adverse effects of acetamiprid and thiacloprid. A novel feature of this work is its use of postal code random effects from two other independent datasets collected in the annual national monitoring by questionnaires of winter losses of honey bees in the Netherlands. These were used to plan the sample selection and also in the model fitting of the data in this study. It should however be noted that the results of the present pilot study are based on limited data, which may consequently reveal strong factors but fail to demonstrate possible interaction effects.
机译:本文从位于43个养蜂场的86个殖民地的样本中,对荷兰2011-2012年冬季的蜜蜂损失进行了分析。使用空间分层随机抽样选择养蜂场。收集了冬季的菌落损失数据,并将其与夏季记录的各种菌落强度度量值相关联,以及对来自43个养蜂场中两个选定菌落的样本材料进行实验室分析得到的数据。能够最好地解释冬季损失风险的逻辑回归模型按统计重要性顺序包括以下变量:(1)2011年10月瓦尔罗破坏者螨虫侵染率,(2)氰基取代的新烟碱类对乙酰氨基酚或噻虫啉存在2011年8月的2周内,在至少一种蜂蜜基质中添加蜂蜜,蜜蜂或蜂面包(花粉),(3)2011年8月上旬在蜂面包中出现了甘蓝型油菜(油菜)或西纳毕芥菜(花粉) (4)对殖民地所在的邮政编码地区无法解释的冬季损失的衡量,该损失是从另一个数据集中获得的。我们在讨论中认为,由于天气恶劣,减少了在7月和8月觅食的机会,这可能会大大增加对乙酰胺和噻虫啉的不利影响。这项工作的一个新颖之处在于它利用了来自其他两个独立数据集的邮政编码随机效应,该数据集是通过荷兰的蜜蜂冬季损失调查表在年度国家监测中收集的。这些用于计划样本选择以及本研究中数据的模型拟合。但是,应该指出的是,本试验研究的结果是基于有限的数据,因此可能显示出强大的因素,但未能证明可能的相互作用作用。

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