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12 - Analytical options for estimating ecological thresholds – statistical considerations

Published online by Cambridge University Press:  05 July 2012

Robert A. Gitzen
Affiliation:
University of Missouri, Columbia
Joshua J. Millspaugh
Affiliation:
University of Missouri, Columbia
Andrew B. Cooper
Affiliation:
Simon Fraser University, British Columbia
Daniel S. Licht
Affiliation:
United States National Park Service
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Summary

Introduction

The concept of ecological thresholds increasingly is attracting the attention of ecologists and managers of natural resources. As defined by Groffman et al. (2006), “an ecological threshold is the point at which there is an abrupt change in an ecosystem quality, property or phenomenon, or where small changes in an environmental driver produce large responses in the ecosystem.” Because of the complicated nonlinear dynamic of a threshold change and multiple factors that can affect the same ecosystem, detection and quantification of ecological thresholds is a challenging task.

Related to the threshold concept in ecology is the general category of changepoint models in statistics. This category encompasses a large collection of statistical models. For example, a recent review of the topic resulted in a 230-page annotated bibliography (Khodadadi and Asgharian 2008). The term “change point” has evolved in the past 50 years. In the 1950s, we find descriptions such as “a change in parameter occurring at an unknown time” (Page 1955) and “a linear regression system obeying two separate regimes” (Quandt 1958). More general terms such as “threshold regression” (Dagenais 1969), “segmented strait lines” (Bellman and Roth 1969), and “piecewise regression” (McGee and Carleton 1970), and more abstract terms such as “change point” [which probably first appeared in Hinkley (1970) and Hinkley and Hinkley (1970)] appeared in the late 1960s and early 1970s.

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Publisher: Cambridge University Press
Print publication year: 2012

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