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首页> 外文期刊>Environmental Entomology >A Variable-Instar Climate-Driven Individual Beetle-Based Phenology Model for the Invasive Asian Longhorned Beetle (Coleoptera: Cerambycidae)
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A Variable-Instar Climate-Driven Individual Beetle-Based Phenology Model for the Invasive Asian Longhorned Beetle (Coleoptera: Cerambycidae)

机译:基于变龄的气候驱动的基于个人甲壳虫的入侵亚洲长角甲虫的物候模型(鞘翅目:天牛科)

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摘要

Efforts to manage and eradicate invasive species can benefit from an improved understanding of the physiology, biology, and behavior of the target species, and ongoing efforts to eradicate the Asian longhorned beetle (Anoplophora glabripennis Motschulsky) highlight the roles this information may play. Here, we present a climate-driven phenology model for A. glabripennis that provides simulated life-tables for populations of individual beetles under variable climatic conditions that takes into account the variable number of instars beetles may undergo as larvae. Phenology parameters in the model are based on a synthesis of published data and studies of A. glabripennis, and the model output was evaluated using a laboratory-reared population maintained under varying temperatures mimicking those typical of Central Park in New York City. The model was stable under variations in population size, simulation length, and the Julian dates used to initiate individual beetles within the population. Comparison of model results with previously published field-based phenology studies in native and invasive populations indicates both this new phenology model, and the previously published heating-degree-day model show good agreement in the prediction of the beginning of the flight season for adults. However, the phenology model described here avoids underpredicting the cumulative emergence of adults through the season, in addition to providing tables of life stages and estimations of voltinism for local populations. This information can play a key role in evaluating risk by predicting the potential for population growth, and may facilitate the optimization of management and eradication efforts.
机译:对靶标物种的生理学,生物学和行为的了解加深了对管理和根除入侵物种的努力,并且正在努力根除亚洲长角甲虫(Anoplophora glabripennis Motschulsky),这凸显了该信息可能发挥的作用。在这里,我们提出了一种由气候驱动的拟南芥的物候模型,该模型为气候变化条件下个体甲虫的种群提供了模拟的生命表,并考虑到了幼虫可能经历的幼虫数目的变化。该模型中的物候参数基于已发表数据和对A. glabripennis的研究的综合,并使用实验室饲养的种群评估其模型输出,该种群的温度保持在类似于纽约市中央公园的典型温度下。该模型在种群大小,模拟长度和用于在种群中引发单个甲虫的朱利安日期变化的情况下是稳定的。模型结果与以前在自然和侵入种群中基于野外的物候研究的比较表明,这种新的物候模型与先前公布的加热度日模型在成人飞行季节开始的预测中显示出良好的一致性。但是,这里提供的物候模型除了提供生活阶段表和当地人口的流行病估计外,还避免了对整个季节成年人的累积出现预测不足的预测。这些信息可以通过预测人口增长的潜力在评估风险中发挥关键作用,并且可以促进管理和根除工作的优化。

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