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• W2317660003 abstract "ESR Endangered Species Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials ESR 18:1-15 (2012) - DOI: https://doi.org/10.3354/esr00430 Theme Section: Beyond marine mammal habitat modeling: applications for ecology and conservation Online cetacean habitat modeling system for the US east coast and Gulf of Mexico Benjamin D. Best1,2,*, Patrick N. Halpin1,2, Andrew J. Read1, Ei Fujioka2, Caroline P. Good1, Erin A. LaBrecque1,2, Robert S. Schick2, Jason J. Roberts2, Lucie J. Hazen2, Song S. Qian3, Debra L. Palka4, Lance P. Garrison5, William A. McLellan6 1Duke University Marine Laboratory, Beaufort, North Carolina 28516, USA 2Nicholas School of the Environment and Earth Sciences, Duke University, Durham, North Carolina 27708-0328, USA 3Department of Environmental Sciences, University of Toledo, Toledo, Ohio 43606, USA 4Protected Species Branch, Northeast Fisheries Science Center, Woods Hole, Massachusetts 02543, USA 5Protected Resources and Biodiversity, Southeast Fisheries Science Center, Miami, Florida 33149, USA 6University of North Carolina Wilmington, Biology & Marine Biology, Wilmington, North Carolina 28403, USA *Email: bbest@duke.edu ABSTRACT: We describe the development of a comprehensive set of marine mammal habitat models for the US east coast and Gulf of Mexico and their delivery through an online mapping portal. Drawing from datasets in the online OBIS-SEAMAP geo-database, we integrated surveys conducted by ship (n = 36) and aircraft (n = 16), weighting a generalized additive model (GAM) by minutes surveyed within space−time grid cells to harmonize effort between the 2 survey platforms. For each of 16 cetacean species guilds, we predicted the probability of occurrence from static environmental variables (water depth, distance to shore, distance to continental shelf break) and time-varying conditions (monthly sea surface temperature). To generate maps of presence versus absence, receiver operator characteristic (ROC) curves were used to define the optimal threshold that minimizes false positive and false negative error rates. We integrated model outputs, including tables (species in guilds, input surveys) and plots (fit of environmental variables, ROC curve), into an online spatial decision support system (SDSS), allowing for easy navigation of models by taxon, region, season, and data provider. Users can define regions of interest and extract statistical summaries of the model for that region. The SDSS also displays density models from other providers and regions (e.g. Pacific Ocean). This versatile, easy-to-use online system enables the application of these habitat models to real-world conservation and management issues. Finally, we discuss the ecological relevance of these model outputs and identify key data gaps across species, regions, and seasons. KEY WORDS: Species distribution model · Habitat · Cetacea · Generalized additive model · Spatial decision support system · Atlantic Ocean · Gulf of Mexico Full text in pdf format NextCite this article as: Best BD, Halpin PN, Read AJ, Fujioka E and others (2012) Online cetacean habitat modeling system for the US east coast and Gulf of Mexico. Endang Species Res 18:1-15. https://doi.org/10.3354/esr00430 Export citation Mail this link - Contents Mailing Lists - RSS Facebook - Tweet - linkedIn Cited by Published in ESR Vol. 18, No. 1. Online publication date: July 20, 2012 Print ISSN: 1863-5407; Online ISSN: 1613-4796 Copyright © 2012 Inter-Research." @default.
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• W2317660003 date "2012-07-20" @default.
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• W2317660003 title "Online cetacean habitat modeling system for the US east coast and Gulf of Mexico" @default.
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