JSM 2005 - Toronto

Abstract #302460

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 465
Type: Invited
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #302460
Title: A Survey of Statistical Methods Useful for Exploring and Analyzing Nonlinearity and/or Nonadditivity in Ecological Systems
Author(s): Kung-Sik Chan*+
Companies: The University of Iowa
Address: 241 Schaeffer Hall, Iowa City, IA, 52242,
Keywords: climate change ; GAM ; interactions ; semiparametric analysis ; threshold ; time series
Abstract:

Understanding how climate can interact with other factors in determining patterns of species abundance is a persistent challenge in ecology. Recent research has suggested the dynamics some populations exhibit may be a nonlinear and/or nonadditive function of climate, with climate affecting population growth more at high density than at low density. This talk will give a survey of statistical methods useful for exploring and analyzing nonlinearity and/or nonaddivity in ecological systems. In particular, the recent use of the threshold principle for developing methodologies appropriate for analyzing the nonlinearity and/or nonadditivity of the population dynamics with time series data, in a semiparametric framework, will be reviewed.

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Revised March 2005