Integrating ecosystem studies: A Bayesian comparison of hypotheses

By: , and 
Edited by: F. FunkT.J. Quinn IIJ. HeifetzJ.N. IanelliJ.E. PowersJ.F. SchweigertP.J. Sullivan, and C.-I. Zhang



Ecosystem studies are difficult to interpret because of the complexity and number of pathways that may affect a phenomenon of interest. It is not possible to study all aspects of a problem; thus subjective judgment is required to weigh what has been observed in the context of components that were not studied but may have been important. This subjective judgment is usually a poorly documented and ad hoc addendum to a statistical analysis of the data. We present a Bayesian methodology for documenting, quantifying, and incorporating these necessary subjective elements into an ecosystem study. The end product of this methodology is the probability of each of the competing hypotheses. As an example, this method is applied to an ecosystem study designed to discriminate among competing hypotheses for a low abundance of sea otters at a previously oiled site in Prince William Sound, Alaska.

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Integrating ecosystem studies: A Bayesian comparison of hypotheses
ISBN 978-1-56612-057-9
DOI 10.4027/fsam.1998
Year Published 1998
Language English
Publisher Alaska Sea Grant College Program, University of Alaska Fairbanks
Publisher location Anchorage, AK
Contributing office(s) Alaska Science Center
Description 15 p.
Larger Work Type Book
Larger Work Subtype Conference publication
Larger Work Title Proceedings of the international symposium on fishery stock assessment models for the 21st century; 15th Lowell Wakefield fisheries symposium
First page 495
Last page 509
Public Comments Larger Work is University of Alaska Sea Grant College Program report no. AK-SG-98-01
Conference Title International Symposium on Fishery Stock Assessment Models for the 21st Century; 15th Lowell Wakefield Fisheries Symposium
Conference Location Fairbanks, AK
Conference Date October 8-11, 1997
Country United States
State Alaska
Other Geospatial Prince William Sound
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