IS015
Remote sensing to support ecosystem modeling for a sustainable ocean
Session ID#: 85329
Session Description:
Characterizing ecosystem dynamics is a necessary step in the development of strategies for sustainable ocean management. Such characterizations can be developed into ecosystem modelling tools that allow us to both explain current observations and make meaningful predictions about dynamics in the future. In situ ocean observing platforms support the collection of a wide range of data (physical, chemical and biological) needed by ecosystem modeling tools. However, remote sensing platforms provide synoptic information covering large areas at high spatial resolution and present an opportunity to generalize the usefulness of modeling tools beyond the locations of in situ measurements.
This session invites contributions that describe efforts to process and use remotely sensed data to support ecosystem modeling efforts. We welcome contributions from those working with remotely sensed data across disciplines (physical, chemical, biological oceanography) to join the conversation. Furthermore, we particularly encourage presentations highlighting the use of remote sensing data in support of sustainable management, including those developing empirical models to describe correlative links between remotely sensed data and ecosystem players, and mechanistic models that explicitly characterize the underlying mechanistic processes. Presentations of novel techniques, methods, and/or venues for remote sensing studies in support of marine ecosystem research are highly encouraged. The chairs hope that this session facilitates discussions on how to encourage and optimize the use of remote sensing data to increase our understanding (and thus decision making ability) regarding the anthropogenic impacts on marine ecosystems.
Index Terms:
4813 Ecological prediction [OCEANOGRAPHY: BIOLOGICAL]
4815 Ecosystems, structure, dynamics, and modeling [OCEANOGRAPHY: BIOLOGICAL]
4817 Food webs, structure, and dynamics [OCEANOGRAPHY: BIOLOGICAL]
Primary Chair: Frode Bendiksen Vikebo, Institute of Marine Research, Bergen, Norway
Co-chairs: Anna B Neuheimer, University of Hawaii at Manoa, Department of Oceanography, Honolulu, HI, United States and Kai Christensen, MET Norway, Ocean and Ice, Oslo, Norway
Primary Liaison: Anna B Neuheimer, University of Hawaii at Manoa, Department of Oceanography, Honolulu, HI, United States
A New High-Resolution Sea Surface Temperature Blended Analysis (636573)
Eileen Maturi, NOAA/NESDIS, College Park, MD, United States, Andrew Harris, NOAA/NESDIS/STAR; University of Maryland, CICS, College Park, MD, United States and John Sapper, NOAA OSPO, College Park, MD, United States
Long term analysis of the North Sea light climate, using remotely sensed sediment data in a 3D coupled ecosystem mode (648111)
Daniel Thewes1, Emil V. Stanev2, Jochen Wollschläger1, Jaime Pitarch3 and Oliver Zielinski4, (1)University of Oldenburg, Institute of Chemistry and Biology of the Marine Environment, Oldenburg, Germany, (2)Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Geesthacht, Germany, (3)Royal Netherlands Institute for Sea Research and Utrecht University, Department of Coastal Systems, Texel, Netherlands, (4)University of Oldenburg, Marine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment, Oldenburg, Germany
High correlation but high scale-dependent variance between satellite measured night lights and terrestrial exposure (651489)
Ariel Levi Simons, Los Angeles, CA, United States; University of Southern California, Marine and Environmental Biology, Los Angeles, CA, United States, Xiaozhe Yin, University of Southern California, Spatial Sciences, Los Angeles, CA, United States and Travis Longcore, University of Southern California, Architecture, Spatial Sciences, and Biological Sciences, Los Angeles, CA, United States
A 20-Year Analysis of Phytoplankton in the Northeast U.S. Continental Shelf Large Marine Ecosystem with Implications for Fisheries (651843)
Kimberly Hyde1, Michael J. Fogarty2, Colleen B Mouw3, Ryan Morse4, Kyle J Turner3, Audrey Ciochetto3 and Vincent S Saba5, (1)NOAA Northeast Fisheries Science Center, Narragansett, RI, United States, (2)NOAA Fisheries Northeast Fisheries Science Center, Woods Hole, MA, United States, (3)University of Rhode Island, Narragansett, RI, United States, (4)Integrated Statistics Inc., NOAA Northeast Fisheries Science Center, Narragansett, RI, United States, (5)NOAA National Marine Fisheries Service, Princeton, NJ, United States
The great Atlantic Sargassum belt (655104)
Mengqiu Wang, University of South Florida Tampa, Tampa, FL, United States, Chuanmin Hu, University of South Florida, College of Marine Science, St. Petersburg, FL, United States, Brian B Barnes, University of South Florida, St. Petersburg, FL, United States, Gary T Mitchum, Univ South Florida, College of Marine Science, Saint Petersburg, FL, United States, Brian Lapointe, Florida Atlantic University, United States and Joseph Peter Montoya, Georgia Inst Technology, Atlanta, GA, United States
Monitoring harmful algal bloom in Baja California using in-situ measurement and satellite remote sensing (655643)
Min-Sun Lee1, Alexandra Smith1 and Fiorenza Micheli2, (1)Stanford University, Hopkins Marine Station, Pacific Grove, CA, United States, (2)Stanford University, Stanford, CA, United States
Effects of Solar Penetration on the Prediction of Upper Ocean Circulation in the Northwest Atlantic (656472)
Yangyang Liu, North Carolina State University, Marine, Earth, and Atmospheric Sciences, Raleigh, NC, United States, Ruoying He, North Carolina State Univ., Raleigh, NC, United States and Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States
