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Environmental variation across multiple spatial scales and temporal lags influences Hendra virus spillover

机译:多个空间尺度的环境变化和时间滞后影响亨德拉病毒溢出

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摘要

Abstract Pathogens can spill over and infect new host species by overcoming a series of ecological and biological barriers. Hendra virus (HeV) circulates in Australian flying foxes and provides a data‐rich study system for identifying environmental drivers underlying spillover events. The frequency of spillover events to horses has varied interannually since the virus was first discovered in 1994. These observations suggest that HeV spillover events are driven, in part, by environmental factors, including loss of flying fox habitat and climate variability. We explicitly examine the impact of environmental variation on the risk of HeV spillover at three spatial scales relevant to this system. We use a dataset of 60 spillover events and boosted regression tree methods to identify environmental features (including concurrent and lagged temperature, rainfall, vegetation indices, land cover, and climate indices) at three spatial scales (1‐km, 20‐km, 100‐km radii) associated with horse contacts and reservoir species ecology. We find that temperature, local (1‐km radius) human population density, and landscape (100‐km radius) forest cover and pasture are the most influential environmental features associated with HeV spillover risk. By including multiple spatial scales and temporal lags in environmental features, we can more accurately quantify risk across space and time than with models that use a single scale. For example, high quality vegetation at the local scale and within a foraging radius (20‐km) in the concurrent month and previous years, combined with poorer quality vegetation at the landscape scale in the concurrent month increase risk of HeV spillover. These and other environmental associations likely influence the dynamic foraging behaviour of reservoir flying foxes and drive contacts that facilitate spillover into horse populations. Synthesis and application: Current management of HeV spillover focuses on local‐scale interventions – primarily through vaccination and detection of infected horses. Our study finds that HeV spillover risk is also driven by environmental changes over much larger scales and demonstrates management practices would benefit from incorporating landscape interventions alongside local interventions.
机译:摘要 病原菌可以通过克服一系列生态和生物障碍来溢出并感染新的宿主物种。亨德拉病毒(HeV)在澳大利亚狐蝠中传播,并提供了一个数据丰富的研究系统,用于识别溢出事件背后的环境驱动因素。自 1994 年首次发现该病毒以来,对马匹的溢出事件的频率每年都在变化。这些观察结果表明,戊型肝炎溢出事件在一定程度上是由环境因素驱动的,包括狐蝇栖息地的丧失和气候变率。我们明确地研究了环境变化在与该系统相关的三个空间尺度上对HeV溢出风险的影响。我们使用包含 60 个溢出事件的数据集和增强回归树方法,在三个空间尺度(1 km、20 km、100 km 半径)上识别与马接触和水库物种生态相关的环境特征(包括并发和滞后温度、降雨量、植被指数、土地覆盖和气候指数)。我们发现温度、当地(半径1公里)人口密度以及景观(半径100公里)森林覆盖和牧场是与HeV溢出风险相关的最有影响力的环境特征。通过在环境特征中包括多个空间尺度和时间滞后,我们可以比使用单一尺度的模型更准确地量化跨空间和时间的风险。例如,在同期和前几年,局部尺度和觅食半径(20公里)内的优质植被,加上同期月份景观尺度的劣质植被,增加了HeV溢出的风险。这些和其他环境关联可能会影响水库狐狸的动态觅食行为,并推动接触,从而促进溢出到马种群中。合成和应用:目前对戊型肝炎病毒溢出的管理侧重于局部规模的干预措施——主要是通过疫苗接种和检测受感染的马匹。我们的研究发现,HeV溢出风险也是由更大规模的环境变化驱动的,并表明将景观干预措施与当地干预措施相结合,管理实践将受益。

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