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西尼罗病毒蚊媒在多个时间尺度上的广泛空间同步性。

Broadscale spatial synchrony in a West Nile virus mosquito vector across multiple timescales.

机构信息

Florida Medical Entomology Laboratory, University of Florida, Vero Beach, FL, 32962, USA.

Department of Entomology and Nematology, University of Florida, Gainesville, FL, 32611, USA.

出版信息

Sci Rep. 2024 May 30;14(1):12479. doi: 10.1038/s41598-024-62384-6.

Abstract

Insects often exhibit irruptive population dynamics determined by environmental conditions. We examine if populations of the Culex tarsalis mosquito, a West Nile virus (WNV) vector, fluctuate synchronously over broad spatial extents and multiple timescales and whether climate drives synchrony in Cx. tarsalis, especially at annual timescales, due to the synchronous influence of temperature, precipitation, and/or humidity. We leveraged mosquito collections across 9 National Ecological Observatory Network (NEON) sites distributed in the interior West and Great Plains region USA over a 45-month period, and associated gridMET climate data. We utilized wavelet phasor mean fields and wavelet linear models to quantify spatial synchrony for mosquitoes and climate and to calculate the importance of climate in explaining Cx. tarsalis synchrony. We also tested whether the strength of spatial synchrony may vary directionally across years. We found significant annual synchrony in Cx. tarsalis, and short-term synchrony during a single period in 2018. Mean minimum temperature was a significant predictor of annual Cx. tarsalis spatial synchrony, and we found a marginally significant decrease in annual Cx. tarsalis synchrony. Significant Cx. tarsalis synchrony during 2018 coincided with an anomalous increase in precipitation. This work provides a valuable step toward understanding broadscale synchrony in a WNV vector.

摘要

昆虫的种群动态常呈现由环境条件决定的爆发式特征。我们研究了西尼罗河病毒(WNV)载体库蚊(Culex tarsalis)的种群是否在广泛的空间范围和多个时间尺度上同步波动,以及气候是否由于温度、降水和/或湿度的同步影响,导致 Cx. tarsalis 在年度时间尺度上同步。我们利用了在美国西部内陆和大平原地区的 9 个国家生态观测网络(NEON)站点的蚊子采集数据,时间跨度为 45 个月,并结合了 gridMET 气候数据。我们利用小波相位平均场和小波线性模型来量化蚊子和气候的空间同步性,并计算气候在解释 Cx. tarsalis 同步性方面的重要性。我们还测试了空间同步性的强度是否可能在不同年份具有方向性变化。我们发现 Cx. tarsalis 在年度上存在显著的同步性,并且在 2018 年的一个单一时期内存在短期同步性。平均最低温度是年度 Cx. tarsalis 空间同步性的一个显著预测因子,我们发现年度 Cx. tarsalis 同步性略有下降。2018 年 Cx. tarsalis 出现显著同步性,与降水异常增加同时发生。这项工作为理解 WNV 载体的广泛同步性提供了有价值的一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a1c/11139987/928c6508c9e8/41598_2024_62384_Fig1_HTML.jpg

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