Identifying predator-prey processes from time-series
Identifying predator-prey processes from time-series
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DOI：
10.1006/tpbi.2000.1463
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发表时间：
2000-06-01
影响因子：
1.4
通讯作者：
Arditi, R
中科院分区：
文献类型：
--
作者：
Jost, C;Arditi, R
功能反应是捕食者-被捕食者模型以及食物链和食物网中的关键要素。经典模型认为它只是猎物丰度的函数。然而，许多机制可能导致捕食者依赖，并且越来越多的证据表明这种依赖的重要性。因此，从真实的数据中识别功能响应的数学形式是一项具有挑战性的任务。本文应用模型拟合的方法，检验了典型的生态捕食者-食饵时间序列数据（包含观测误差和过程误差）是否能给出关于功能反应形式的信息。与人工数据（其中的功能响应是已知的），我们将表明，与适度的噪声水平，识别的模型，产生的数据是可能的。然而，噪声水平普遍存在于真实的生态时间序列可以引起错误的识别。我们还将讨论通过将微分方程拟合到这样的时间序列来进行参数估计的质量。(C)北京大学出版社.
The functional response is a key element in predator-prey models as well as in food chains and food webs. Classical models consider it as a function of prey abundance only. However, many mechanisms can lead to predator dependence, and there is increasing evidence for the importance of this dependence. Identification of the mathematical form of the functional response from real data is therefore a challenging task. In this paper we apply model-fitting to test if typical ecological predator-prey time series data, which contain both observation error and process error, can give some information about the form of the functional response. Working with artificial data (for which the functional response is known) we will show that with moderate noise levels, identification of the model that generated the data is possible. However, the noise levels prevailing in real ecological time-series can give rise to wrong identifications. We will also discuss the quality of parameter estimation by fitting differential equations to such time-series. (C) 2000 Academic Press.