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季节变化、密度和气候对蒙大拿鹿鼠种群动态的影响,蒙大拿鹿鼠是辛诺波乙型汉坦病毒的重要储存宿主。

The effect of seasonality, density and climate on the population dynamics of Montana deer mice, important reservoir hosts for Sin Nombre hantavirus.

机构信息

Department of Biology, The Pennsylvania State University, University Park, PA 16801, USA.

出版信息

J Anim Ecol. 2010 Mar;79(2):462-70. doi: 10.1111/j.1365-2656.2009.01646.x. Epub 2009 Dec 8.

Abstract
  1. Since Sin Nombre virus was discovered in the U.S. in 1993, longitudinal studies of the rodent reservoir host, the deer mouse (Peromyscus maniculatus) have demonstrated a qualitative correlation among mouse population dynamics and risk of hantavirus pulmonary syndrome (HPS) in humans, indicating the importance of understanding deer mouse population dynamics for evaluating risk of HPS. 2. Using capture-mark-recapture statistical methods on a 15-year data set from Montana, we estimated deer mouse survival, maturation and recruitment rates and tested the relative importance of seasonality, population density and local climate in explaining temporal variation in deer mouse demography. 3. From these estimates, we designed a population model to simulate deer mouse population dynamics given climatic variables and compared the model to observed patterns. 4. Month, precipitation 5 months previously, temperature 5 months previously and to a lesser extent precipitation and temperature in the current month, were important in determining deer mouse survival. Month, the sum of precipitation over the last 4 months, and the sum of the temperature over the last 4 months were important in determining recruitment rates. Survival was more important in determining the growth rate of the population than recruitment. 5. While climatic drivers appear to have a complex influence on dynamics, our forecasts were good. Our quantitative model may allow public health officials to better predict increased human risk from basic climatic data.
摘要
  1. 自 1993 年在美国发现辛诺柏病毒以来,对啮齿动物储存宿主鹿鼠(Peromyscus maniculatus)的纵向研究表明,鼠群动态与人类汉坦病毒肺综合征(HPS)的风险之间存在定性相关性,这表明了解鹿鼠种群动态对于评估 HPS 的风险非常重要。

  2. 我们使用来自蒙大拿州的 15 年数据集的捕获-标记-重捕统计方法,估计了鹿鼠的存活率、成熟率和招募率,并测试了季节性、种群密度和当地气候在解释鹿鼠种群动态时间变化方面的相对重要性。

  3. 根据这些估计,我们设计了一个种群模型,根据气候变量来模拟鹿鼠种群动态,并将模型与观察到的模式进行比较。

  4. 月份、5 个月前的降水、5 个月前的温度以及当前月份的降水和温度在一定程度上对鹿鼠的存活率有重要影响。月份、过去 4 个月的降水总和以及过去 4 个月的温度总和对招募率有重要影响。存活率比招募率对种群增长率的影响更大。

  5. 尽管气候驱动因素似乎对动态有复杂的影响,但我们的预测很好。我们的定量模型可能使公共卫生官员能够根据基本气候数据更好地预测人类风险的增加。

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