MA03CH16-Follows ARI 8 November 2010 11:30 Modeling Diverse Communities of Marine Microbes Michael J. Follows and Stephanie Dutkiewicz Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; email:
[email protected],
[email protected] Annu. Rev. Mar. Sci. 2011. 3:427–51 Keywords The Annual Review of Marine Science is online at microbes, phytoplankton, community structure, traits, trade-offs, marine.annualreviews.org self-selection, adaptive This article’s doi: 10.1146/annurev-marine-120709-142848 Abstract Copyright c 2011 by Annual Reviews. Biogeochemical cycles in the ocean are mediated by complex and diverse All rights reserved microbial communities. Over the past decade, marine ecosystem and bio- 1941-1405/11/0115-0427$20.00 by DALHOUSIE UNIVERSITY on 06/30/11. For personal use only. geochemistry models have begun to address some of this diversity by re- solving several groups of (mostly autotrophic) plankton, differentiated by Annu. Rev. Marine. Sci. 2011.3:427-451. Downloaded from www.annualreviews.org biogeochemical function. Here, we review recent model approaches that are rooted in the notion that an even richer diversity is fundamental to the orga- nization of marine microbial communities. These models begin to resolve, and address the significance of, diversity within functional groups. Seeded with diverse populations spanning prescribed regions of trait space, these simulations self-select community structure according to relative fitness in the virtual environment. Such models are suited to considering ecological questions, such as the regulation of patterns of biodiversity, and to simulat- ing the response to changing environments. A key issue for all such models is the constraint of viable trait space and trade-offs.