首页> 外文期刊>Bulletin of Entomological Research >Invasion rate of deer ked depends on spatiotemporal variation in host density.
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Invasion rate of deer ked depends on spatiotemporal variation in host density.

机译:鹿的入侵率取决于宿主密度的时空变化。

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摘要

Invasive parasites are of great global concern. Understanding the factors influencing the spread of invading pest species is a first step in developing effective countermeasures. Growing empirical evidence suggests that spread rates are essentially influenced by spatiotemporal dynamics of host-parasite interactions, yet approaches modelling spread rate have typically assumed static environmental conditions. We analysed invasion history of the deer ked (Lipoptena cervi) in Finland with a diffusion-reaction model, which assumed either the movement rate, the population growth rate, or both rates may depend on spatial and temporal distribution of moose (Alces alces), the main host of deer ked. We fitted the model to the data in a Bayesian framework, and used the Bayesian information criterion to show that accounting for the variation in local moose density improved the model's ability to describe the pattern of the invasion. The highest ranked model predicted higher movement rate and growth rate of deer ked with increasing moose density. Our results suggest that the historic increase in host density has facilitated the spread of the deer ked. Our approach illustrates how information about the ecology of an invasive species can be extracted from the spatial pattern of spread even with rather limited data.
机译:入侵性寄生虫引起了全球的极大关注。了解影响入侵有害生物物种扩散的因素是制定有效对策的第一步。越来越多的经验证据表明,传播速率基本上受宿主-寄生虫相互作用的时空动态影响,然而,模拟传播速率的方法通常假设静态环境条件。我们使用扩散反应模型分析了芬兰鹿(Lipoptena cervi)的入侵历史,该模型假设迁移率,种群增长率或两者均取决于驼鹿(Alces alces)的时空分布,鹿科德的主要寄主。我们将模型拟合到贝叶斯框架中的数据,并使用贝叶斯信息准则来表明,考虑局部驼鹿密度的变化可以提高模型描述入侵模式的能力。最高排名的模型预测鹿的运动速率和生长速率随驼鹿密度的增加而增加。我们的结果表明,寄主密度的历史性增长促进了鹿科动物的传播。我们的方法说明了即使有相当有限的数据,如何也可以从传播的空间格局中提取有关入侵物种生态的信息。

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