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Barbour N, Shillinger GL, Gurarie E, Hoover AL, Gaspar P, Temple-Boyer J, Candela T, Fagan WF, Bailey H. Incorporating multidimensional behavior into a risk management tool for a critically endangered and migratory species. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023; 37:e14114. [PMID: 37204012 DOI: 10.1111/cobi.14114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/20/2023]
Abstract
Conservation of migratory species exhibiting wide-ranging and multidimensional behaviors is challenged by management efforts that only utilize horizontal movements or produce static spatial-temporal products. For the deep-diving, critically endangered eastern Pacific leatherback turtle, tools that predict where turtles have high risks of fisheries interactions are urgently needed to prevent further population decline. We incorporated horizontal-vertical movement model results with spatial-temporal kernel density estimates and threat data (gear-specific fishing) to develop monthly maps of spatial risk. Specifically, we applied multistate hidden Markov models to a biotelemetry data set (n = 28 leatherback tracks, 2004-2007). Tracks with dive information were used to characterize turtle behavior as belonging to 1 of 3 states (transiting, residential with mixed diving, and residential with deep diving). Recent fishing effort data from Global Fishing Watch were integrated with predicted behaviors and monthly space-use estimates to create maps of relative risk of turtle-fisheries interactions. Drifting (pelagic) longline fishing gear had the highest average monthly fishing effort in the study region, and risk indices showed this gear to also have the greatest potential for high-risk interactions with turtles in a residential, deep-diving behavioral state. Monthly relative risk surfaces for all gears and behaviors were added to South Pacific TurtleWatch (SPTW) (https://www.upwell.org/sptw), a dynamic management tool for this leatherback population. These modifications will refine SPTW's capability to provide important predictions of potential high-risk bycatch areas for turtles undertaking specific behaviors. Our results demonstrate how multidimensional movement data, spatial-temporal density estimates, and threat data can be used to create a unique conservation tool. These methods serve as a framework for incorporating behavior into similar tools for other aquatic, aerial, and terrestrial taxa with multidimensional movement behaviors.
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Affiliation(s)
- Nicole Barbour
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, USA
- Department of Biology, University of Maryland, College Park, Maryland, USA
- Upwell, Monterey, California, USA
- Department of Environmental Biology, SUNY College of Environmental and Forest Sciences, Syracuse, New York, USA
| | - George L Shillinger
- Upwell, Monterey, California, USA
- Hopkins Marine Station, Stanford University, Pacific Grove, California, USA
- MigraMar, Bodega Bay, California, USA
| | - Eliezer Gurarie
- Department of Biology, University of Maryland, College Park, Maryland, USA
- Department of Environmental Biology, SUNY College of Environmental and Forest Sciences, Syracuse, New York, USA
| | | | | | | | - Tony Candela
- Upwell, Monterey, California, USA
- Mercator Ocean International, Toulouse, France
| | - William F Fagan
- Department of Biology, University of Maryland, College Park, Maryland, USA
| | - Helen Bailey
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, USA
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Barbour N, Robillard AJ, Shillinger GL, Lyubchich V, Secor DH, Fagan WF, Bailey H. Clustering and classification of vertical movement profiles for ecological inference of behavior. Ecosphere 2023. [DOI: 10.1002/ecs2.4384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Affiliation(s)
- Nicole Barbour
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland USA
- Department of Biology University of Maryland College Park Maryland USA
- Upwell Monterey California USA
| | - Alexander J. Robillard
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland USA
- Data Science Lab, Office of the Chief Information Officer Smithsonian Institution Washington DC USA
| | - George L. Shillinger
- Upwell Monterey California USA
- Hopkins Marine Station Stanford University Pacific Grove California USA
| | - Vyacheslav Lyubchich
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland USA
| | - David H. Secor
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland USA
| | - William F. Fagan
- Department of Biology University of Maryland College Park Maryland USA
| | - Helen Bailey
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland USA
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