IS31A:
Technological Advancements in Phytoplankton Ecology: Observation Techniques and Platforms, Data Analysis and Interpretation, and Model Development I
Session ID#: 9603
Session Description:
Phytoplankton are a vital component of the aquatic ecosystem and affect water chemistry through nutrient uptake, alteration, and excretion. Shifts in phytoplankton community structure serve as indicators of environmental perturbations to aquatic systems, including climate change, eutrophication, and pollution. Furthermore, bloom-forming species can cause negative effects including hypoxia, high turbidity, or toxicity.
Technologies for assessing phytoplankton distribution and ecological variables have improved in efficiency and spatial/temporal resolution through the development and advancement of laboratory techniques, adaptation to new in-situ platforms, and incorporation into regional observation systems.
Phytoplankton observations range from simple detection (e.g. remote sensing, optical techniques) to species discrimination (e.g. microscopy, spectral fingerprinting, molecular approaches), to community structure determination (i.e. chemotaxonomic analysis). Additionally, laboratory and in-situ measurements of phycotoxins, macro- and micronutrients, and chemical and physical variables provide a critical ecological context for phytoplankton observations. In turn, advancements in data interpretation and modeling offer insight into phycological observations and allow for forecasting and prediction of harmful algal blooms, providing resource managers with tools to mitigate negative effects.
We invite presentations focused on the development or use of new or improved observation technologies, data analysis and interpretation techniques, and model development that address the many aspects of phytoplankton ecology.
Primary Chair: Jordon Scott Beckler, Mote Marine Laboratory, Ocean Technology Research Program, Sarasota, FL, United States
Chairs: Michael Brosnahan, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Katherine Hubbard, Fish and Wildlife Research Institute, Saint Petersburg, FL, United States and Vincent John Lovko, Mote Marine Laboratory, Ocean Technology, Sarasota, FL, United States
Moderators: Jordon Scott Beckler, Mote Marine Laboratory, Ocean Technology Research Program, Sarasota, FL, United States, Michael Brosnahan, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Katherine Hubbard, Fish and Wildlife Research Institute, Saint Petersburg, FL, United States and Vincent John Lovko, Mote Marine Laboratory, Phytoplankton Ecology, Sarasota, FL, United States
Student Paper Review Liaisons: Jordon Scott Beckler, Mote Marine Laboratory, Ocean Technology Research Program, Sarasota, FL, United States and Michael Brosnahan, Woods Hole Oceanographic Institution, Woods Hole, MA, United States
Co-Sponsor(s):
Abstracts Submitted to this Session:
Evaluating Different Natural Phytoplankton Communities: a Comparison Between Flow Cytometry and Microscopy (91613)
Lumi Haraguchi1, Hans Henrik Jakobsen1 and Jacob Carstensen2, (1)Aarhus University, Biosciences, Roskilde, Denmark, (2)Aarhus University, BioSciences, Roskilde, Denmark
Analysis of Phytoplankton Communities Using Hyperspectral Absorption Measurements (91137)
Jochen Wollschläger and Rüdiger Röttgers, Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Geesthacht, Germany
Quantitative Targeted Proteomics and Electrochromic Shift for Measuring Photosystem Content of Marine Phytoplankton (93485)
Christopher Malcolm Brown1, Benjamin Bailleul2, Jenna-Rose Melanson1, Douglas A Campbell1, Amanda M Cockshutt1 and Pierre Cardol3, (1)Mount Allison University, Chemistry and Biochemistry, Sackville, NB, Canada, (2)Institut de Biologie Physico-Chimique (CNRS and University Paris 6), UMR 7141, PARIS, France, (3)Université de Liège, Department of Life Sciences, Liège, Belgium
Molecular Quantification of the Florida Red Tide Dinoflagellate and the Development of Low Cost, Volunteer-attended Handheld Sensor Networks (92685)
Dana Nieuwkerk1, Robert Nguyen Ulrich1, John H Paul1, Katherine Hubbard2, Barbara A Kirkpatrick3, Tracy A Fanara4, Steven Bruzek2 and Alicia Hoeglund2, (1)University of South Florida, College of Marine Science, St. Petersburg, FL, United States, (2)Fish and Wildlife Research Institute, Saint Petersburg, FL, United States, (3)Gulf of Mexico Coastal Ocean Observing System, Sarasota, FL, United States, (4)Mote Marine Laboratory, Sarasota, FL, United States
Remote Sensing Techniques Applying Neural Networks for Effective Retrieval of Harmful Algal Blooms in the West Florida Shelf from VIIRS Satellite Observations, without the need for a Fluorescence Channel, and their comparisons with other Techniques. (87751)
Samir Ahmed1, Ahmed El-Habashi1 and Vincent John Lovko2, (1)The City College of New York, NOAA-CREST Optical Remote Sensing Laboratory, New York, NY, United States, (2)Mote Marine Laboratory, Phytoplankton Ecology, Sarasota, FL, United States
A Bayesian hierarchical model for estimating the phytoplankton physiology parameter PBopt in the equatorial Pacific (88988)
Maria De Oca and Patrick N Halpin, Duke University, Nicholas School of the Environment, Durham, NC, United States
CELLSCOPE AQUATIC: A LAB QUALITY, PORTABLE CELLPHONE-BASED MICROSCOPE FOR ON-SITE COLLECTION OF ALGAE IMAGES (89116)
Steven J. Steinberg, Southern California Coastal Water Research Project, Information Management and Analysis, Costa Mesa, CA, United States and Meredith D Howard, Southern California Coastal Water Research Project, Costa Mesa, CA, United States
