Population variability in space and time: The dynamics of synchronous population fluctuations
Population variability in space and time: The dynamics of synchronous population fluctuations
复制标题
人口在空间和时间上的变异性：同步人口波动的动态
作者：
E. Ranta;V. Kaitala;P. Lundberg
实证研究表明，来自广泛分类群的动物种群在丰度波动中表现出空间相关性模式。在寻找对这一现象的解释时，有人提出，亚种群以空间分散的形式相互作用，或外部因素（如天气）的变化，将是造成空间同步的关键驱动力。然而，分散和外部因素已经显示出产生不同的同步模式。我们在这里展示了同步动力学中观察到的模式可以通过使用空间关联的种群模型来重现。此外，我们还分析了局部和全局环境的随机性和分散性对空间同步模式的影响。我们将我们的理论结果与北美狩猎动物的长期动态数据进行了对比，并强调数据和我们的空间种群动态模型是兼容的。
Empirical studies have shown that animal populations from a wide array of taxa exhibit spatial patterns of correlation in fluctuating abundance. In the search for explanations for this phenomenon it has been proposed that subpopulation interactions in the form of spatial dispersal, or variability in external factors, such as weather, would be the crucial driving forces responsible for spatial synchrony. Nevertheless, dispersal and external factors have been shown to produce different patterns of synchrony. We show here that observed patterns in synchronous dynamics can be reproduced by using a spatially linked population model. Further, we analyse how local and global environmental stochasticity and dispersal influence the pattern of spatial synchrony. We contrast our theoretical results with data on long-term dynamics of North American game animals and emphasize that the data and our spatial population dynamics models are compatible.