Jian Yun, Silvestri Sonia, Brown Jeff, Hickman Rick, Marani Marco
Nicholas School of the Environment, Duke University, Durham, North Carolina, 27708, United States of America.
Mosquito Control Department, Brunswick County Government, Brunswick, North Carolina, 28422, United States of America.
PLoS One. 2014 Dec 5;9(12):e114301. doi: 10.1371/journal.pone.0114301. eCollection 2014.
An improved understanding of mosquito population dynamics under natural environmental forcing requires adequate field observations spanning the full range of temporal scales over which mosquito abundance fluctuates in natural conditions. Here we analyze a 9-year daily time series of uninterrupted observations of adult mosquito abundance for multiple mosquito species in North Carolina to identify characteristic scales of temporal variability, the processes generating them, and the representativeness of observations at different sampling resolutions. We focus in particular on Aedes vexans and Culiseta melanura and, using a combination of spectral analysis and modeling, we find significant population fluctuations with characteristic periodicity between 2 days and several years. Population dynamical modelling suggests that the observed fast fluctuations scales (2 days-weeks) are importantly affected by a varying mosquito activity in response to rapid changes in meteorological conditions, a process neglected in most representations of mosquito population dynamics. We further suggest that the range of time scales over which adult mosquito population variability takes place can be divided into three main parts. At small time scales (indicatively 2 days-1 month) observed population fluctuations are mainly driven by behavioral responses to rapid changes in weather conditions. At intermediate scales (1 to several month) environmentally-forced fluctuations in generation times, mortality rates, and density dependence determine the population characteristic response times. At longer scales (annual to multi-annual) mosquito populations follow seasonal and inter-annual environmental changes. We conclude that observations of adult mosquito populations should be based on a sub-weekly sampling frequency and that predictive models of mosquito abundance must include behavioral dynamics to separate the effects of a varying mosquito activity from actual changes in the abundance of the underlying population.
要更好地理解自然环境强迫下蚊子种群动态,需要在自然条件下蚊子数量波动的整个时间尺度范围内进行充分的实地观测。在此,我们分析了北卡罗来纳州多种蚊子成虫数量的9年连续每日时间序列,以确定时间变异性的特征尺度、产生这些尺度的过程以及不同采样分辨率下观测数据的代表性。我们特别关注骚扰伊蚊和黑尾脉毛蚊,并结合频谱分析和建模方法,发现其种群数量存在显著波动,特征周期在2天至数年之间。种群动态模型表明,观测到的快速波动尺度(2天至数周)主要受蚊子活动随气象条件快速变化的影响,而这一过程在大多数蚊子种群动态模型中被忽视。我们进一步指出,成年蚊子种群数量发生变化的时间尺度范围可分为三个主要部分。在小时间尺度(约2天至1个月)上,观测到的种群波动主要由对天气条件快速变化的行为反应驱动。在中等尺度(1至数月)上,环境强迫导致的世代时间、死亡率和密度依赖性波动决定了种群特征响应时间。在较长尺度(年度至多年度)上,蚊子种群遵循季节性和年际环境变化。我们得出结论,成年蚊子种群的观测应基于每周以下的采样频率,并且蚊子数量的预测模型必须包括行为动态,以区分蚊子活动变化的影响与潜在种群数量实际变化的影响。