Emergent long-range synchronization of oscillating ecological populations without external forcing described by Ising universality.
Emergent long-range synchronization of oscillating ecological populations without external forcing described by Ising universality.
复制标题
DOI：
10.1038/ncomms7664
复制
发表时间：
2015-04-08
影响因子：
16.6
通讯作者：
Hastings, Alan
中科院分区：
文献类型：
--
作者：
Noble, Andrew E.;Machta, Jonathan;Hastings, Alan
理解空间振荡的同步性对许多科学学科来说都是至关重要的。在生态学中，空间种群的长期同步振荡可能会提高灭绝风险，预示着即将发生的灾难。普遍的假设是，在比扩散尺度更长的距离上的同步只能是由于环境相关性（莫兰效应）。相比之下，我们展示了远距离同步如何在比分散或环境相关的长度尺度长得多的距离上出现。特别地，我们证明了噪声空间人口模型中两周期振荡从非相干到远程同步的转变是由统计物理的Ising普惠类描述的。这一结果表明，与之前的所有工作相反，伊辛临界转变如何直接从生态种群的动态中出现。被隔离距离大于其扩散范围的生态种群的长期同步被认为只能通过环境相关性来实现。在这里，Noble等人表明同步也可以发生在这些距离之外，并由Ising普适性类描述。
Understanding the synchronization of oscillations across space is fundamentally important to many scientific disciplines. In ecology, long-range synchronization of oscillations in spatial populations may elevate extinction risk and signal an impending catastrophe. The prevailing assumption is that synchronization on distances longer than the dispersal scale can only be due to environmental correlation (the Moran effect). In contrast, we show how long-range synchronization can emerge over distances much longer than the length scales of either dispersal or environmental correlation. In particular, we demonstrate that the transition from incoherence to long-range synchronization of two-cycle oscillations in noisy spatial population models is described by the Ising universality class of statistical physics. This result shows, in contrast to all previous work, how the Ising critical transition can emerge directly from the dynamics of ecological populations. Long-range synchronization of ecological populations separated by distances greater than their dispersal range is thought only to occur via environmental correlations. Here, Noble et al. show that synchronization can also occur beyond these distances, and is described by the Ising universality class.
登录
查看更多内容
影响因子：
4.8
作者：
HANSKI, I;WOIWOD, IP
通讯作者：
WOIWOD, IP
影响因子：
4.8
作者：
Hastings, Alan
通讯作者：
Hastings, Alan
影响因子：
8.6
作者：
BASSLER, KE;SCHMITTMANN, B
通讯作者：
SCHMITTMANN, B
影响因子：
2
作者：
Goldwyn, Eli E.;Hastings, Alan
通讯作者：
Hastings, Alan
影响因子：
1.6
作者：
Bonachela, Juan A.;Munoz, Miguel A.;Levin, Simon A.
通讯作者：
Levin, Simon A.