BEEHAVE: a systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failure.
BEEHAVE: a systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failure.
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DOI：
10.1111/1365-2664.12222
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发表时间：
2014-04
期刊：
影响因子：
--
通讯作者：
Osborne JL
中科院分区：
文献类型：
--
作者：
Becher MA;Grimm V;Thorbek P;Horn J;Kennedy PJ;Osborne JL
近年来，据报道，在不同地区，有管理的欧洲蜜蜂（Apis mellifera L.）群体的失败显著增加。虽然根本原因尚不清楚，但很可能是压力因素共同作用的结果，特别是螨虫和其他病原体、饲料供应和潜在的杀虫剂。当多个因素相互作用时，在群体规模上解决因果关系是实验上的挑战。在硅实验提供了一个快速和成本效益的方式来开始解决这些挑战，并告知实验。然而，没有一个已发表的蜜蜂模型将群体动力学与觅食模式和蜂群动力学结合起来。我们开发了一个蜜蜂模型BEEHAVE，它集成了蜂群动力学、瓦螨种群动力学、瓦螨传播病毒的流行病学，并允许觅食者在基于代理的觅食模型中从空间明确景观的代表中收集食物。我们描述了这个模型，它可以在网上免费获得（www.beehave-model.net）。广泛的敏感性分析和测试说明了该模型的鲁棒性和现实性。不同应激源组合的模拟实验表明，在简化的景观设置中，该模型的潜力：预测在不同的觅食条件和农药施用下，有和没有瓦螨的群体动态和潜在损失。我们还展示了如何测试缓解措施。合成与应用。BEEHAVE为研究人员提供了一个有价值的工具来设计和集中现场实验，为监管机构探索压力源的相对重要性，以制定管理和政策建议，为养蜂人提供了一个了解和预测蜂群动态和管理干预效果的工具。我们期望科学家和利益相关者将发现BEEHAVE的各种应用，刺激进一步的模型开发，并可能包括对蜂群动力学具有潜在重要性的其他压力源。BEEHAVE为研究人员提供了一个有价值的工具来设计和集中现场实验，为监管机构探索压力源的相对重要性，以制定管理和政策建议，为养蜂人提供了一个了解和预测蜂群动态和管理干预效果的工具。我们期望科学家和利益相关者将发现BEEHAVE的各种应用，刺激进一步的模型开发，并可能包括对蜂群动力学具有潜在重要性的其他压力源。
A notable increase in failure of managed European honeybee Apis mellifera L. colonies has been reported in various regions in recent years. Although the underlying causes remain unclear, it is likely that a combination of stressors act together, particularly varroa mites and other pathogens, forage availability and potentially pesticides. It is experimentally challenging to address causality at the colony scale when multiple factors interact. In silico experiments offer a fast and cost‐effective way to begin to address these challenges and inform experiments. However, none of the published bee models combine colony dynamics with foraging patterns and varroa dynamics. We have developed a honeybee model, BEEHAVE, which integrates colony dynamics, population dynamics of the varroa mite, epidemiology of varroa‐transmitted viruses and allows foragers in an agent‐based foraging model to collect food from a representation of a spatially explicit landscape. We describe the model, which is freely available online (www.beehave-model.net). Extensive sensitivity analyses and tests illustrate the model's robustness and realism. Simulation experiments with various combinations of stressors demonstrate, in simplified landscape settings, the model's potential: predicting colony dynamics and potential losses with and without varroa mites under different foraging conditions and under pesticide application. We also show how mitigation measures can be tested. Synthesis and applications. BEEHAVE offers a valuable tool for researchers to design and focus field experiments, for regulators to explore the relative importance of stressors to devise management and policy advice and for beekeepers to understand and predict varroa dynamics and effects of management interventions. We expect that scientists and stakeholders will find a variety of applications for BEEHAVE, stimulating further model development and the possible inclusion of other stressors of potential importance to honeybee colony dynamics. BEEHAVE offers a valuable tool for researchers to design and focus field experiments, for regulators to explore the relative importance of stressors to devise management and policy advice and for beekeepers to understand and predict varroa dynamics and effects of management interventions. We expect that scientists and stakeholders will find a variety of applications for BEEHAVE, stimulating further model development and the possible inclusion of other stressors of potential importance to honeybee colony dynamics.
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DOI：
10.1111/1365-2664.12112
发表时间：
2013-08
期刊：
The Journal of applied ecology
影响因子：
--
作者：
Becher MA;Osborne JL;Thorbek P;Kennedy PJ;Grimm V
通讯作者：
Grimm V
DOI：
10.1007/bf02515602
发表时间：
1983-01-01
期刊：
RESEARCHES ON POPULATION ECOLOGY
影响因子：
--
作者：
FUKUDA, H
通讯作者：
FUKUDA, H
影响因子：
2.4
作者：
Higes, Mariano;Martin-Hernandez, Raquel;Meana, Aranzazu
通讯作者：
Meana, Aranzazu
影响因子：
2.4
作者：
Fries, Ingemar;Imdorf, Anton;Rosenkranz, Peter
通讯作者：
Rosenkranz, Peter
影响因子：
2.4
作者：
BOOT, WJ;SCHOENMAKER, J;BEETSMA, J
通讯作者：
BEETSMA, J