A Bayesian Spawning Habitat Suitability Model for American Shad in Southeastern United States Rivers
Author(s) -
Joseph E. Hightower,
Julianne E. Harris,
Joshua K. Raabe,
Prescott Brownell,
C. Ashton Drew
Publication year - 2012
Publication title -
journal of fish and wildlife management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 20
ISSN - 1944-687X
DOI - 10.3996/082011-jfwm-047
Subject(s) - habitat , hydropower , fishery , geography , range (aeronautics) , alosa , resource (disambiguation) , model selection , index (typography) , ecology , environmental science , fish migration , biology , computer science , machine learning , engineering , computer network , world wide web , aerospace engineering
Habitat suitability index models for American shad Alosa sapidissima were developed by Stier and Crance in 1985. These models, which were based on a combination of published information and expert opinion, are often used to make decisions about hydropower dam operations and fish passage. The purpose of this study was to develop updated habitat suitability index models for spawning American shad in the southeastern United States, building on the many field and laboratory studies completed since 1985. We surveyed biologists who had knowledge about American shad spawning grounds, assembled a panel of experts to discuss important habitat variables, and used raw data from published and unpublished studies to develop new habitat suitability curves. The updated curves are based on resource selection functions, which can model habitat selectivity based on use and availability of particular habitats. Using field data collected in eight rivers from Virginia to Florida (Mattaponi, Pamunkey, Roanoke, Tar, Ne...
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