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Full-Text Articles in Environmental Sciences
Spatial Connectivity And Drivers Of Shark Habitat Use Within A Large Marine Protected Area In The Caribbean, The Bahamas Shark Sanctuary, Austin J. Gallagher, Oliver N. Shipley, Maurits P. M. Van Zinnicq Bergmann, Jacob W. Brownscombe, Craig P. Dahlgren, Michael G. Frisk, Lucas P. Griffin, Neil Hammerschlag, Sami Kattan, Yannis P. Papastamatiou
Spatial Connectivity And Drivers Of Shark Habitat Use Within A Large Marine Protected Area In The Caribbean, The Bahamas Shark Sanctuary, Austin J. Gallagher, Oliver N. Shipley, Maurits P. M. Van Zinnicq Bergmann, Jacob W. Brownscombe, Craig P. Dahlgren, Michael G. Frisk, Lucas P. Griffin, Neil Hammerschlag, Sami Kattan, Yannis P. Papastamatiou
Environmental Conservation Faculty Publication Series
Marine protected areas (MPAs) have emerged as potentially important conservation tools for the conservation of biodiversity and mitigation of climate impacts. Among MPAs, a large percentage has been created with the implicit goal of protecting shark populations, including 17 shark sanctuaries which fully protect sharks throughout their jurisdiction. The Commonwealth of the Bahamas represents a long-term MPA for sharks, following the banning of commercial longlining in 1993 and subsequent designation as a shark sanctuary in 2011. Little is known, however, about the longterm behavior and space use of sharks within this protected area, particularly among reef-associated sharks for which the …
A Novel Framework To Predict Relative Habitat Selection In Aquatic Systems: Applying Machine Learning And Resource Selection Functions To Acoustic Telemetry Data From Multiple Shark Species, Lucas P. Griffin, Grace A. Casselberry, Kristen M. Hart, Adrian Jordaan, Sarah L. Becker, Ashleigh J. Novak, Bryan M. Deangelis, Clayton G. Pollock, Ian Lundgren, Zandy Hills-Star
A Novel Framework To Predict Relative Habitat Selection In Aquatic Systems: Applying Machine Learning And Resource Selection Functions To Acoustic Telemetry Data From Multiple Shark Species, Lucas P. Griffin, Grace A. Casselberry, Kristen M. Hart, Adrian Jordaan, Sarah L. Becker, Ashleigh J. Novak, Bryan M. Deangelis, Clayton G. Pollock, Ian Lundgren, Zandy Hills-Star
Environmental Conservation Faculty Publication Series
Resource selection functions (RSFs) have been widely applied to animal tracking data to examine relative habitat selection and to help guide management and conservation strategies. While readily used in terrestrial ecology, RSFs have yet to be extensively used within marine systems. As acoustic telemetry continues to be a pervasive approach within marine environments, incorporation of RSFs can provide new insights to help prioritize habitat protection and restoration to meet conservation goals. To overcome statistical hurdles and achieve high prediction accuracy, machine learning algorithms could be paired with RSFs to predict relative habitat selection for a species within and even outside …