You or someone you know may be interested in presenting at this session at the AGU/ASLO/TOS Ocean Sciences Meeting 21-26 February 2016 in New Orleans.
The Individuality of the Plankton: Single-cell analysis and agent-based modeling
Fascinating advances in individual and single cell analytical techniques (e.g., flow cytometry, chemical analyses, genomics) are providing an unprecedented view into the individuality of planktonic organisms (viro-, bacterio-, phyto- and zoo-plankton). Plankton populations, which have traditionally been viewed as homogeneous collections of individuals with identical properties and behavior, are now recognized to be heterogeneous, even in environments commonly considered to be well mixed, like the open ocean. At the same time, agent-based modeling (ABM, aka individual-based modeling, IBM) technology is evolving as a powerful approach to analyze and interpret these observations. These models provide insights into the mechanisms underlying the heterogeneity (e.g., mutations, stochastic gene expression, deterministic aging, microscale patchiness) and put them into ecological context (e.g., fitness benefits of bet hedging strategies). The combination of individual and single cell analyses and ABM has the potential to transform plankton and microbial ecology across the freshwater-marine continuum and in other environments. In this session, we aim to bring together scientists to share individual and single-cell research, to take a snapshot of the state-of-the-science in this field, and to connect researchers with synergistic skills and interests.
Ferdi Hellweger, Northeastern University, email@example.com
Ramunas Stepanauskas, Bigelow Laboratory for Ocean Sciences, firstname.lastname@example.org
John Berges, University of Wisconsin-Milwaukee, email@example.com
Ben Twining, Bigelow Laboratory for Ocean Sciences, firstname.lastname@example.org
Here is a link to the session and abstract submission site.
Abstract Submittal Deadline = 23 September 2015.
Please feel free to forward this announcement on to other people that may be interested.