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Statistical analyses to support guidelines for Marine Avian Sampling : final report
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2012
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Description:"Interest in development of offshore renewable energy facilities has led to a need for high-quality, statistically robust information on marine wildlife distributions. A practical approach is described to estimate the amount of sampling effort required to have sufficient statistical power to identify species-specific 'hotspots' and 'coldspots' of marine bird abundance and occurrence in an offshore environment divided into discrete spatial units (e.g., lease blocks), where 'hotspots' and 'coldspots' are defined relative to a reference (e.g., regional) mean abundance and/or occurrence probability for each species of interest. For example, a location with average abundance or occurrence that is three times larger the mean (3x effect size) could be defined as a 'hotspot,' and a location that is three times smaller than the mean (1/3x effect size) as a 'coldspot.' The choice of the effect size used to define hot and coldspots will generally depend on a combination of ecological and regulatory considerations. A method is also developed for testing the statistical significance of possible hotspots and coldspots. Both methods are illustrated with historical seabird survey data from the USGS Avian Compendium Database."
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Content Notes:authors, Brian P. Kinlan, Elise F. Zipkin, Allan F. O'Connell, Christopher Caldow.
"December 2012."
"Prepared under interagency agreement M12PG00068 by National Oceanic and Atmospheric Administration, National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, Biogeography Branch ... In cooperation with United States Geological Survey Patuxent Wildlife Research Center."
System requirements: Adobe Acrobat Reader.
Includes bibliographical references (pages 63-66).
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Rights Information:Public Domain
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Compliance:Library
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