Detecting the order of population dynamics from time series: Nonlinearity causes spurious diagnosis

被引：12

作者：

Berryman, Alan

Lima, Mauricio ^{[1
]}

机构：

[1] Washington State Univ, Dept Entomol, Pullman, WA 99164 USA

[2] Washington State Univ, Dept Nat Resource Sci, Pullman, WA 99164 USA

[3] Pontificia Univ Catolica Chile, Ctr Adv Studies Ecol & Biodivers, Santiago 6513677, Chile

来源：

ECOLOGY | 2007年 / 88卷 / 08期

关键词：

nonlinearily; partial autocorrelation function; partial rate correlation function; population dynamics; spurious second order; lime series;

D O I：

10.1890/06-0609.1

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Partial autocorrelation and partial rate correlation functions are frequently used to detect the order of the endogenous process generating an observed population time series. Here we uncover a problem with this approach: the diagnosis of spurious second order autocorrelation due to strong nonlinearity in a first order endogenous process, as exemplified by time series data from a population of Soay sheep. Causes and a possible solution are discussed.

引用

页码：2121 / 2123

页数：3

共 13 条

[1]

[Anonymous], 1992, ANAL POPULATION ECOL

[2] Identifying the density-dependent structure underlying ecological time series [J].