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Describing juvenile American shad and striped bass habitat use in the Hudson River Estuary using species distribution models



To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work.\ud This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: distribution models (SDMs) are currently being used to identify essential fish habitat and guide\ud fisheries management worldwide. We present SDMs based on generalized linear mixed models (GLMM) of\ud the fall distribution or occurrence of juvenile American shad (Alosa sapidissima) and juvenile striped bass\ud (Morone saxatilis) in the Hudson River estuary (HRE) based on data from a fishery-independent survey. The\ud distribution of both species were modeled over a 6-year period (2000–2005) as a function of dissolved\ud oxygen, salinity, water temperature, distance along the HRE denoted as river mile, time or Julian day,\ud distance from submerged aquatic vegetation (SAV), and sediment characteristics. Salinity, river mile, and\ud Julian day were the most important environmental determinants of juvenile American shad presence, and\ud sediment type, salinity, river mile, and Julian day were the most important environmental determinants\ud of juvenile striped bass presence. Calibration plots showed a high level of agreement between predictions\ud generated by each model and actual observations of each species’ occurrence. Based on this result, we\ud mapped the predicted distribution of each species. We found the highest predicted probabilities of juvenile\ud American shad presence in the upper HRE, but the highest predicted probabilities of juvenile striped\ud bass presence were in the lower HRE. Our results suggest that habitat partitioning between these two\ud species is present during the fall in this system but the mechanism is unclear

Topics: Species distribution models, Generalized linear mixed models, Hudson River estuary, American shad, Striped bass
Publisher: Elsevier
Year: 2011
DOI identifier: 10.1016/j.ecoleng.2011.06.035
OAI identifier:
Provided by: ScholarsArchive@OSU
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