Integrating ecosystem studies: A Bayesian comparison of hypotheses
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Abstract
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.
Publication type | Conference Paper |
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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 |
Google Analytic Metrics | Metrics page |