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Thermal Change and the Dynamics of Multi-Host Parasite Life Cycles in Aquatic Ecosystems

机译:水生生态系统中的热变化和多宿主寄生虫生命周期动力学

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摘要

Altered thermal regimes associated with climate change are impacting significantly on the physical, chemical, and biological characteristics of the Earth’s natural ecosystems, with important implications for the biology of aquatic organisms. As well as impacting the biology of individual species, changing thermal regimes have the capacity to mediate ecological interactions between species, and the potential for climate change to impact host–parasite interactions in aquatic ecosystems is now well recognized. Predicting what will happen to the prevalence and intensity of infection of parasites with multiple hosts in their life cycles is especially challenging because the addition of each additional host dramatically increases the potential permutations of response. In this short review, we provide an overview of the diverse routes by which altered thermal regimes can impact the dynamics of multi-host parasite life cycles in aquatic ecosystems. In addition, we examine how experimentally amenable host–parasite systems are being used to determine the consequences of changing environmental temperatures for these different types of mechanism. Our overarching aim is to examine the potential of changing thermal regimes to alter not only the biology of hosts and parasites, but also the biology of interactions between hosts and parasites. We also hope to illustrate the complexity that is likely to be involved in making predictions about the dynamics of infection by multi-host parasites in thermally challenged aquatic ecosystems.
机译:与气候变化相关的热态变化正严重影响地球自然生态系统的物理,化学和生物学特性,这对水生生物的生物学具有重要意义。除了影响单个物种的生物学影响外,不断变化的热状态还具有介导物种之间生态相互作用的能力,并且气候变化影响水生生态系统中宿主与寄生虫相互作用的潜力现已得到公认。预测在多个生命周期中具有多个宿主的寄生虫的感染率和感染强度将是非常具有挑战性的,因为添加每个其他宿主会极大地增加响应的潜在排列。在这篇简短的综述中,我们概述了改变的热状况可以影响水生生态系统中多宿主寄生生物生命周期动力学的各种途径。此外,我们研究了如何使用实验上可适应的宿主-寄生虫系统来确定环境温度变化对这些不同类型机制的影响。我们的首要目标是研究改变热态的潜力,不仅改变宿主和寄生虫的生物学,而且改变宿主和寄生虫之间相互作用的生物学。我们还希望说明在对受热挑战的水生生态系统中的多宿主寄生虫感染的动力学进行预测时可能涉及的复杂性。

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