Emergent Biogeography of Microbial Communities in a Model Ocean

By Michael J. Follows, S. Dutkiewicz, Scott R. Grant, Sallie W. Chisholm. Science, 2007

868 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ad3376133efbb76ebf7f3ae50105f1c5eda1c7eb

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Citations in the corpus

Phytoplankton functional diversity increases ecosystem productivity and stability (2017, background): “, 2015) leading to niche partitioning along environmental gradients, which has been modelled mechanistically (Follows et al., 2007).”
A trait-based approach to ocean ecology (2018, methodology): “Thus, the spatio-temporal distribution and sizes of phytoplankton food can be estimated from existing trait-based phytoplankton models embedded in global circulation model (Follows et al., 2007) or from satellite-derived estimates of phytoplankton biomass and sizes (Boyce et al.”
Optimal phytoplankton cell size in an allometric model (2009, methodology): “The numerical model developed by Follows et al. (2007) is an ideal framework to simulate the assembly of phytoplankton communities in realistic oceanic conditions.”
Global General Circulation of the Ocean Estimated by the ECCO-Consortium (2009, background): “Among other applications, a major effort is underway (Follows et al., 2007) to incorporate full biogeochemical cycles.”
Microbial Co-occurrence Relationships in the Human Microbiome (2012, background): “tal microbial communities [7,8,9,10], it is not yet clear what the”
Mixotrophic protists and a new paradigm for marine ecology: where does plankton research go now? (2019, background): “The rationale behind TTO models describing phytoplankton activity (Bruggeman and Kooijman, 2007; Follows et al., 2007; Litchman and Klausmeier, 2008; Smith et al., 2016) comes under a different spotlight if we consider that these organisms are also predators.”
Towards a better understanding of microbial carbon flux in the sea (2008, background): “The frontier of microbial modeling, and that of microbial ecology itself, is to understand and quantitatively describe the specific functions of these many bacterial types and their dynamics in natural environments (Doney et al. 2004, Follows et al. 2007).”
Close coupling between phytoplankton growth and microzooplankton grazing in the western South China Sea (2009, background): “This may explain why recent modeling approaches that define photosynthetic bacteria by only their physiologies have been quite successful in reproducing habitat preferences and large-scale distributions in the natural environment (Follows et al. 2007).”
Modeling the coupling of ocean ecology and biogeochemistry (2009, methodology): “[4] Here we examine a model of marine ecosystems (described further in section 1.2) in which phytoplankton community structure is explicitly ‘‘self-assembling’’ [Follows et al., 2007].”
Dynamically and Kinematically Consistent Global Ocean Circulation and Ice State Estimates (2013, methodology): “Coupling between ocean physics and ecology is being explored through the use of ECCO state estimates, which drive models of marine ecology (e.g., Follows et al., 2007; Follows and Dutkiewicz, 2011).”
Adding complex trophic interactions to a size-spectral plankton model: emergent diversity patterns and limits on predictability (2011, background): “It happens as well in models where phytoplankton diversity is resolved but predator diversity is omitted or minimal (Bruggeman and Kooijman, 2007; Follows et al., 2007).”
Developing integrated models of Southern Ocean food webs: Including ecological complexity, accounting for uncertainty and the importance of scale (2012, neutral): “been developed (Follows et al., 2007; Dutkiewicz et al., 2009; Verdy et al., 2009; Barton et al., 2010) and these potentially pro-”
Rethinking the marine carbon cycle: Factoring in the multifarious lifestyles of microbes (2015, background): “Currently, diversity within a few functional types related to cell size or temperature adaptations can also be resolved (14).”
The role of functional traits and trade-offs in structuring phytoplankton communities: scaling from cellular to ecosystem level. (2007, methodology): “Follows et al. (2007), using a model with multiple phytoplankton types defined by simple trade-offs in physiological traits, showed that different biogeochemical groups emerged under different environmental conditions.”