Regime changes in ecological systems: an information theory approach
Regime changes in ecological systems: an information theory approach
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DOI：
10.1016/s0022-5193(03)00067-5
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发表时间：
2003-06-21
影响因子：
2
通讯作者：
Pawlowski, CW
中科院分区：
文献类型：
--
作者：
Fath, BD;Cabezas, H;Pawlowski, CW
我们提出了我们的努力，利用信息理论开发一个生态系统指数。具体来说，我们推导出一个表达式的Fisher信息的基础上采样的系统轨迹，因为它演变的空间中定义的系统的状态变量，即其状态空间。正如我们所推导的，Fisher信息指数是对系统阶次的一种度量，它捕捉了沿着系统周期性稳态轨迹的速度和加速度的特征变化。当在系统周期内重复计算时，该指数跟踪稳态和瞬态行为。我们认为，这样的指数可能是有用的检测系统的“翻转”与政权的变化，即确定系统是在一个稳定状态和另一个之间的瞬态。我们使用模型生态系统来说明这些概念。(C)2003爱思唯尔科技有限公司版权所有。
We present our efforts at developing an ecological system index using information theory. Specifically, we derive an expression for Fisher Information based on sampling of the system trajectory as it evolves in the space defined by the state variables of the system, i.e. its state space. The Fisher Information index, as we have derived it, is a measure of system order, and captures the characteristic variation in speed and acceleration along the system's periodic steady-state trajectories. When calculated repeatedly over the system period, this index tracks steady states and transient behavior. We believe that such an index could be useful in detecting system 'flips' associated with a regime change, i.e. determining when systems are in a transient between one steady state and another. We illustrate the concepts using model ecosystems. (C) 2003 Elsevier Science Ltd. All rights reserved.