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有毒物质对熊蜂种群的致死和亚致死效应:一种建模方法。

Lethal and sublethal effects of toxicants on bumble bee populations: a modelling approach.

机构信息

Undergraduate Research Opportunities Center, California State University, Monterey Bay, Seaside, CA, 93955, USA.

Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA.

出版信息

Ecotoxicology. 2020 Apr;29(3):237-245. doi: 10.1007/s10646-020-02162-y. Epub 2020 Feb 14.

Abstract

Pollinator decline worldwide is well-documented; globally, chemical pesticides (especially the class of pesticides known as neonicotinoids) have been implicated in hymenopteran decline, but the mechanics and drivers of population trends and dynamics of wild bees is poorly understood. Declines and shifts in community composition of bumble bees (Bombus spp.) have been documented in North America and Europe, with a suite of lethal and sub-lethal effects of pesticides on bumble bee populations documented. We employ a mathematical model parameterized with values taken from the literature that uses differential equations to track bumble bee populations through time in order to attain a better understanding of toxicant effects on a developing colony of bumble bees. We use a delay differential equation (DDE) model, which requires fewer parameter estimations than agent-based models while affording us the ability to explicitly describe the effect of larval incubation and colony history on population outcomes. We explore how both lethal and sublethal effects such as reduced foraging ability may combine to affect population outcomes, and discuss the implications for the protection and conservation of ecosystem services.

摘要

全球范围内传粉媒介的减少已得到充分证实;在全球范围内,化学农药(尤其是被称为新烟碱类的农药类别)已被认为与膜翅目昆虫的减少有关,但对野生蜜蜂种群趋势和动态的机制和驱动因素了解甚少。在北美和欧洲已经记录到大黄蜂(Bombus spp.)的数量下降和群落组成的变化,并且已经记录了一系列农药对大黄蜂种群的致死和亚致死影响。我们使用了一个数学模型,该模型使用微分方程来跟踪大黄蜂种群随时间的变化,通过使用从文献中获取的值进行参数化,以更好地了解有毒物质对正在发育的大黄蜂群体的影响。我们使用了延迟微分方程(DDE)模型,该模型比基于代理的模型需要更少的参数估计,同时使我们能够明确描述幼虫孵化和群体历史对种群结果的影响。我们探讨了致死和亚致死效应(如觅食能力降低)如何结合起来影响种群结果,并讨论了对保护和维持生态系统服务的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065c/7103009/5d5ce6ea6514/10646_2020_2162_Fig1_HTML.jpg

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