P54A:
Dynamic Ocean Management: Managing at Finer Scales for Mobile Ocean Resources Posters


Session ID#: 9332

Session Description:
Dynamic ocean management aims to respond to the movement of managed species, ocean users, and underlying ocean features. Higher temporal resolution of management measures can create efficiency gains and allows managers to address problems that were previously intractable. Understanding patterns in space and time for both target and non-target species can allow management to explicitly respond to the dynamic movements of marine animals and people that rely on them. Dynamic approaches are particularly important for highly mobile species as well as resource users that follow features such as fronts and eddies that evolve rapidly in space and time. Advances in remote sensing, archival tagging, hand-held technology, and species-distribution models have improved our ability to predict areas of low to high risk of unwanted species interactions in near-real time. That information can be disseminated to alert users to changing dynamic management areas via website and mobile applications. This session will explore (1) life history traits and ecosystems that may benefit from dynamic ocean management approaches; (2) how both human and marine resources respond to dynamic oceanography; (3) empirical examples to help quantify the efficacy and efficiency of dynamic management; and (4) ultimately data frameworks that can improve responsiveness of ocean management.
Primary Chair:  Steven James Bograd, NOAA Southwest Fisheries Science Center, Environmental Research Division, Monterey, CA, United States
Chairs:  Elliott L. Hazen, NOAA Southwest Fisheries Science Center, Environmental Research Division, Monterey, CA, United States, Daniel C Dunn, Duke University Marine Lab, Nicholas School of the Environment, Beaufort, NC, United States, Rebecca L Lewison, San Diego State University, Biology, San Diego, CA, United States and Sara Maxwell, Old Dominion University, Department of Biology, Norfolk, VA, United States
Moderators:  Daniel C Dunn, Duke University, Durham, NC, United States and Steven James Bograd, NOAA Southwest Fisheries Science Center, Environmental Research Division, Monterey, CA, United States
Student Paper Review Liaison:  Rebecca L Lewison, San Diego State University, Biology, San Diego, CA, United States
Index Terms:

1952 Modeling [INFORMATICS]
4813 Ecological prediction [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
4815 Ecosystems, structure, dynamics, and modeling [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
4830 Higher trophic levels [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
Co-Sponsor(s):
  • HI - Human Use and Impacts
  • IS - Instrumentation & Sensing Technologies
  • ME - Marine Ecosystems
  • OD - Ocean Observing and Data Management

Abstracts Submitted to this Session:

 
P54A-1738
Evaluation of a Petition Requesting National Marine Fisheries Service (NMFS) to List the Smooth Hammerhead Shark (Sphryna zygaena) as a Threatened or Endangered Species Under the Endangered Species Act (ESA) (88417)
Alexis Bethany Sturm, NOAA Fisheries, Office of Protected Resources-Endangered Species Conservation Division, Silver Spring, MD, United States; Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, FL, United States
 
P54A-1739
Dynamic Seascapes Predict the Marine Occurrence of an Endangered Species (88736)
Matt Breece1, Dewayne A Fox2, Keith J Dunton2,3, Mike G Frisk4, Adrian Jordaan5 and Matthew J Oliver1, (1)University of Delaware, Lewes, DE, United States, (2)Delaware State University, Dover, DE, United States, (3)Monmouth University, Biology, West Long Branch, NJ, United States, (4)Stony Brook University, Stony Brook, NY, United States, (5)University of Massachusetts, Environmental Conservation, Amherst, MA, United States
 
P54A-1740
Toward Dynamic Ocean Management: Fisheries assessment and climate projections informed by community developed habitat models based on dynamic coastal oceanography (92199)
Josh T Kohut1, John Manderson2, Laura J Nazzaro1, Vincent S Saba3, Grace Saba4, Jonathan A Hare5, Enrique N Curchitser6, Peter Moore7, Brad Seibel8 and Greg DiDomenico9, (1)Rutgers University, Marine and Coastal Sciences, New Brunswick, NJ, United States, (2)NOAA NMFS, (3)NOAA National Marine Fisheries Service, Princeton, NJ, United States, (4)Mid-Atlantic Regional Association Coastal Ocean Observing System and Rutgers University, Department of Marine and Coastal Science, New Brunswick, NJ, United States, (5)NOAA NMFS, Woods Hole, MA, United States, (6)Rutgers University New Brunswick, Department of Environmental Sciences, New Brunswick, NJ, United States, (7)MARACOOS, United States, (8)University of South Florida St. Petersburg, St Petersburg, FL, United States, (9)Garden State Seafood Association
 
P54A-1743
Oceanographic Determinants of Bycatch Patterns in the California Drift Gillnet Fishery: Building an EBFM Tool for Sustainable Fisheries. (92601)
Nick Hahlbeck1,2, Kylie L Scales3, Elliott L. Hazen3 and Steven James Bograd3, (1)University of Miami, Rosenstiel School of Marine and Atmospheric Science, Coral Gables, FL, United States, (2)NOAA Ernest F. Hollings Undergraduate Scholarship Program, United States, (3)NOAA Southwest Fisheries Science Center, Environmental Research Division, Monterey, CA, United States
 
P54A-1744
Adaptive Management Approach to Oil and Gas Activities in Areas Occupied by Pacific Walrus (93645)
Darren Ireland1, Koen Broker2, Valeryia San Filippo3, Louis Brzuzy4 and Laura Morse4, (1)LGL Alaska Research Associates, Inc., Bryan, TX, United States, (2)Shell Global Solutions, Rijswijk, Netherlands, (3)Cenergy International Services, LLC, Houston, TX, United States, (4)Shell Exploration and Production Company, Anchorage, AK, United States
 
P54A-1745
Operationalizing Dynamic Ocean Management (DOM): Understanding the Incentive Structure, Policy and Regulatory Context for DOM in Practice (92869)
Rebecca L Lewison, San Diego State University, Biology, San Diego, CA, United States, Whitley Joseph Saumweber, Stanford University, Woods Institute for the Environment, Center for Ocean Solutions, Palo Alto, CA, United States, Ashley Erickson, Center for Ocean Solutions, Stanford University, Stanford, CA, United States and Rebecca G Martone, Center for Ocean Solutions, Stanford, CA, United States
 
P54A-1746
Monthly zonification of surface biophysical features of Gulf of Mexico using a dynamic classification approach of satellite derived information (92847)
Abigail Uribe1, Raul Aguirre-Gomez1, Rainer Ressl2, Eduardo Cuevas-Flores3 and Jorge Zavala-Hidalgo4, (1)Posgrado en Geografía, Universidad Nacional Autónoma de México., Facultad de Filosofía y Letras., Mexico, D.F., Mexico, (2)National Commission for Knowledge and Use of Biodiversity, Geomatics, Mexico City, Mexico, (3)CINVESTAV, Laboratorio de Percepción Remota y SIG, Merida, Yuc., Mexico, (4)Universidad Nacional Autonoma de Mexico, Mexico City, Mexico
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