OM44B:
Integrating Observations of Plankton Communities and Physiology into Numerical Models II Posters


Session ID#: 28485

Session Description:
Plankton exhibit a very broad range of morphology, physiological capabilities, life histories, and biological interactions. This diversity, in turn, influences biogeochemical functions across marine ecosystems. Our understanding of ecosystem alterations in the face of global environmental change hinges on observations of plankton assemblages and their physiological characteristics. These observations range from light-based measurements such as microscopy, flow cytometry and remote sensing to molecular and isotopic tools providing evidence about metabolic potential and rates. Some of the most novel, recent advances in linking plankton ecology to biogeochemical function were made possible by including observational and laboratory data into numerical models, and testing model predictions against field observations. However, more synergistic research such as this is needed, as these models also test the limits of our understanding and can point to key interactions and processes where further advances can be made. Here we invite contributions that specifically integrate plankton observational data into numerical models and deliver new insights into the way plankton diversity and community structure impact marine biogeochemical cycling, or identify areas where particular types of measurements are needed to advance understanding. This session welcomes contributions from taxonomically and methodologically diverse backgrounds and aims to synergize empirically and theoretically-oriented researchers.
Primary Chair:  Nicolas Van Oostende, Princeton University, Department of Geosciences, Princeton, NJ, United States
Co-chairs:  Andrew Barton, Princeton University, Princeton, NJ, United States, Charles A Stock, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States and Raphael Dussin, Rutgers University New Brunswick, New Brunswick, NJ, United States
Moderators:  Andrew Barton, Princeton University Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, Nicolas Van Oostende, Princeton University, Department of Geosciences, Princeton, NJ, United States, Raphael Dussin, Rutgers University New Brunswick, New Brunswick, NJ, United States and Charles A Stock, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Student Paper Review Liaisons:  Nicolas Van Oostende, Princeton University, Department of Geosciences, Princeton, NJ, United States and Raphael Dussin, Rutgers University New Brunswick, New Brunswick, NJ, United States
Index Terms:

1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
4815 Ecosystems, structure, dynamics, and modeling [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
4855 Phytoplankton [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
4890 Zooplankton [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
Cross-Topics:
  • BN - Biogeochemistry and Nutrients
  • ME - Marine Ecosystems

Abstracts Submitted to this Session:

Modeling the impact of climate change on the elemental composition of phytoplankton and their impact on ocean carbon storage (319480)
Keisuke Inomura, United States, Curtis A Deutsch, University of Washington Seattle Campus, Seattle, WA, United States, Oliver Jahn, MIT, Cambridge, MA, United States, Stephanie Dutkiewicz, MIT, Earth Atmosphere and Planetary Science, Cambridge, MA, United States and Michael J Follows, Massachusetts Inst Tech, Cambridge, MA, United States
Integrating Seasonality into Models of Arctic Phytoplankton (308619)
Trevor Martin Sloughter, University of Strathclyde, Department of Mathematics & Statistics, Glasgow, United Kingdom, Neil Banas, University of Strathclyde, Glasgow, United Kingdom, Raymond Sambrotto, Columbia Univ, Palisades, NY, United States and Jinlun Zhang, University of Washington, Applied Physics Laboratory, Seattle, WA, United States
Advancing our understanding of light quality on phytoplankton productivity using LEDs - implications for modeling based on laboratory experiments (318451)
Tristyn Lee Bercel and Sven Alexander Kranz, Florida State University, Earth, Ocean and Atmospheric Science, Tallahassee, FL, United States
Trophic Efficiencies in Pelagic Food Webs (325991)
Warren J.S. Currie, Fisheries and Oceans Canada, Burlington, ON, Canada and Marten A Koops, Fisheries and Oceans Canada, ON, Canada
Modeling effects of phytoplankton size diversity on seasonal patterns of primary production and δ15N stable isotope ratios (326474)
Yoshikazu Sasai1, Sherwood Lan Smith1 and Chisato Yoshikawa2, (1)JAMSTEC, Yokohama, Japan, (2)JAMSTEC, Yokosuka, Japan

See more of: Ocean Modeling