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宿主和寄生虫的热生态学共同决定了气候变暖对传染病动力学的影响。

Host and parasite thermal ecology jointly determine the effect of climate warming on epidemic dynamics.

机构信息

Odum School of Ecology, University of Georgia, Athens, GA 30602;

Odum School of Ecology, University of Georgia, Athens, GA 30602.

出版信息

Proc Natl Acad Sci U S A. 2018 Jan 23;115(4):744-749. doi: 10.1073/pnas.1705067115. Epub 2018 Jan 8.

Abstract

Host-parasite systems have intricately coupled life cycles, but each interactor can respond differently to changes in environmental variables like temperature. Although vital to predicting how parasitism will respond to climate change, thermal responses of both host and parasite in key traits affecting infection dynamics have rarely been quantified. Through temperature-controlled experiments on an ectothermic host-parasite system, we demonstrate an offset in the thermal optima for survival of infected and uninfected hosts and parasite production. We combine experimentally derived thermal performance curves with field data on seasonal host abundance and parasite prevalence to parameterize an epidemiological model and forecast the dynamical responses to plausible future climate-warming scenarios. In warming scenarios within the coastal southeastern United States, the model predicts sharp declines in parasite prevalence, with local parasite extinction occurring with as little as 2 °C warming. The northern portion of the parasite's current range could experience local increases in transmission, but assuming no thermal adaptation of the parasite, we find no evidence that the parasite will expand its range northward under warming. This work exemplifies that some host populations may experience reduced parasitism in a warming world and highlights the need to measure host and parasite thermal performance to predict infection responses to climate change.

摘要

宿主-寄生虫系统具有错综复杂的生命周期,但每个相互作用者对环境变量(如温度)的变化可能会有不同的反应。虽然预测寄生虫对气候变化的反应至关重要,但影响感染动态的关键特征中,宿主和寄生虫的热响应很少被量化。通过对一种变温宿主-寄生虫系统进行温度控制实验,我们证明了感染和未感染宿主以及寄生虫产生的生存热最佳值存在偏移。我们将实验得出的热性能曲线与关于季节性宿主丰度和寄生虫流行率的现场数据相结合,对一个流行病学模型进行参数化,并预测对未来气候变暖情景的动态响应。在沿海美国东南部的变暖情景中,该模型预测寄生虫流行率会急剧下降,当地寄生虫灭绝的温度升高仅 2°C。寄生虫当前范围的北部可能会经历传播的局部增加,但假设寄生虫没有热适应性,我们没有发现寄生虫在变暖条件下向北扩张范围的证据。这项工作说明了在变暖的世界中,一些宿主种群可能会经历寄生虫减少,并强调需要测量宿主和寄生虫的热性能,以预测感染对气候变化的反应。

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