基于agent的独居蜂的形式化模型

E. Ziółkowska, A. Bednarska, R. Laskowski, C. Topping
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摘要

独居蜜蜂通过为野生植物和农作物授粉提供了重要的生态和农业服务,通常比蜜蜂更有效。在全球传粉媒介数量下降的背景下,在更大的时空尺度上更好地了解多种压力下种群的功能是很重要的。在这里,我们提出建立一个详细的,空间明确的基于主体的模型,研究最深入的独居蜜蜂物种之一,双角蜂。在这个正式模型中,我们详细回顾了双角蜂生物学和生态学的各个方面,并提供了它们在模型中计划实现的描述。我们还讨论了模型的差距和限制,以及包含和排除,允许与评论者就模型的设计进行对话。ALMaSS模型旨在提供欧洲农业景观中双角蚁种群在空间和时间上的真实和详细的表现。该模型将成为动物、景观和人类模拟系统(ALMaSS)的一部分;因此,将能够利用高度详细的动态ALMaSS景观模型。它将每天考虑所有蜜蜂生命阶段的行为,并使用状态转换来允许每个个体决定他们的行为。巢中从卵到蛹的发育阶段将由温度驱动。成年蜜蜂在春天从巢中出来后,会与环境相互作用。它们将能够寻找合适的筑巢地点,为它们的育雏细胞提供花粉并繁殖。模型雌性会根据最优配置理论平衡后代的大小和数量,但局部环境因素会改变它们实际的亲代投资决策。该模型将包括从卵到蛹阶段的每日死亡率、越冬死亡率和巢外的背景死亡率。我们还将考虑开放细胞寄生的风险随着孵化细胞开放时间的增加而增加。有了建议的细节水平,该模型将能够模拟长期内景观尺度上多种因素对种群水平动态的响应。欧洲食品安全局(EFSA)在农药风险评估方案中建议双角蜜蜂作为非apis独居蜂的模式生物。因此,我们希望我们的模型将成为建立未来独居蜜蜂景观风险评估的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Formal Model for the solitary bee Osmia bicornis L. agent‑based model
Solitary bees provide an important ecological and agricultural service by pollinating both wild plants and crops, often more effectively than honey bees. In the context of worldwide pollinators' declines, it is important to better understand the functioning of populations under multiple stressors at larger spatial and temporal scales. Here we propose building a detailed, spatially-explicit agent-based model of one of the best-studied species of solitary bees, Osmia bicornis L. In this Formal Model, we review various aspects of O. bicornis biology and ecology in detail and provide descriptions of their planned implementations in the model. We also discuss the model gaps and limitations, as well as inclusions and exclusions, allowing a dialogue with the reviewers about the model's design. The ALMaSS model of O. bicornis aims to provide a realistic and detailed representation of O. bicornis populations in space and time in European agricultural landscapes. The model will be a part of the Animal, Landscape and Man Simulation System (ALMaSS); thus will be able to utilise a highly detailed, dynamic ALMaSS landscape model. It will consider the behaviour of all bee life stages daily and use state transitions to allow each individual to decide their behaviour. The development of egg-to-pupa stages in the nest will be temperature-driven. Adult bees, after they emerge from the nest in spring, will interact with the environment. They will be able to search for suitable nesting locations, provision their brood cells with pollen and reproduce. Modelled females will balance offspring size and number following the optimal allocation theory, but local environmental factors will modify their actual parental investment decisions. The model will include the daily mortality rate for the egg-to-pupa stages, overwintering mortality, and background mortality outside the nest. We will also consider the risk of open-cell parasitism as increasing with the time the brood cell is open. With the level of detail suggested, the model will be able to simulate population-level dynamics in response to multiple factors at the landscape scale over long periods. The European Food Safety Authority (EFSA) has suggested O. bicornis as a model organism for non-Apis solitary bees in the pesticide risk assessment scheme. Therefore, we hope our model will be a first step in building future landscape risk assessments for solitary bees.
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