Linking traits to species diversity and community structure in phytoplankton DOI
Elena Litchman, Paula de Tezanos Pinto, Christopher A. Klausmeier

et al.

Hydrobiologia, Journal Year: 2010, Volume and Issue: 653(1), P. 15 - 28

Published: July 11, 2010

Language: Английский

Modeling Diverse Communities of Marine Microbes DOI
Michael J. Follows, Stephanie Dutkiewicz

Annual Review of Marine Science, Journal Year: 2010, Volume and Issue: 3(1), P. 427 - 451

Published: Dec. 15, 2010

Biogeochemical cycles in the ocean are mediated by complex and diverse microbial communities. Over past decade, marine ecosystem biogeochemistry models have begun to address some of this diversity resolving several groups (mostly autotrophic) plankton, differentiated biogeochemical function. Here, we review recent model approaches that rooted notion an even richer is fundamental organization These begin resolve, significance of, within functional groups. Seeded with populations spanning prescribed regions trait space, these simulations self-select community structure according relative fitness virtual environment. Such suited considering ecological questions, such as regulation patterns biodiversity, simulating response changing environments. A key issue for all constraint viable space trade-offs. Size-structuring mechanistic descriptions energy resource allocation at individual level can rationalize constraints.

Language: Английский

Citations

292

Global niche of marine anaerobic metabolisms expanded by particle microenvironments DOI
Daniele Bianchi, Thomas Weber, Rainer Kiko

et al.

Nature Geoscience, Journal Year: 2018, Volume and Issue: 11(4), P. 263 - 268

Published: March 19, 2018

Language: Английский

Citations

286

Fluid dynamical niches of phytoplankton types DOI Open Access
Francesco d’Ovidio, Silvia De Monte, S. Alvain

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2010, Volume and Issue: 107(43), P. 18366 - 18370

Published: Oct. 15, 2010

The biogeochemical role of phytoplanktonic organisms strongly varies from one plankton type to another, and their relative abundance distribution have fundamental consequences at the global climatological scales. In situ observations find dominant types often associated specific physical chemical water properties. However, mechanisms spatiotemporal scales by which marine ecosystems are organized largely not known. Here we investigate organization phytoplankton communities combining multisatellite data, notably high-resolution ocean-color maps altimetry-derived Lagrangian diagnostics surface transport. We that landscape is in (sub-)mesoscale patches (10-100 km) separated fronts induced horizontal stirring. These delimit niches supported masses similar history whose lifetimes comparable with timescale bloom onset (few weeks). resonance between biological activity processes suggest (sub-)mesoscales stirring determinant observation modeling ecosystems.

Language: Английский

Citations

281

Challenges and opportunities for integrating lake ecosystem modelling approaches DOI Creative Commons
Wolf M. Mooij, Dennis Trolle, Erik Jeppesen

et al.

Aquatic Ecology, Journal Year: 2010, Volume and Issue: 44(3), P. 633 - 667

Published: Aug. 26, 2010

A large number and wide variety of lake ecosystem models have been developed published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more largely following concept others ('reinventing wheel'). The other focusing on only one type model, while ignoring new diverse approaches that become available ('having tunnel vision'). In paper, we aim at improving awareness existing knowledge concurrent modelling, without covering all possible model tools avenues. First, present a broad modelling approaches. To illustrate these approaches, give brief descriptions rather arbitrarily selected sets specific models. deal with static (steady state regression models), complex dynamic (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally minimal also discuss group could be classified as individual based: super-individual (Piscator, Charisma), physiologically structured models, stage-structured trait-based briefly mention genetic algorithms, neural networks, Kalman filters fuzzy logic. Thereafter, zoom in, an in-depth example, multi-decadal development application PCLake related (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). discussion, argue historical each approach understandable given its 'leading principle', there are many opportunities combining take point view single 'right' does not exist should strived for. Instead, multiple applied concurrently problem, can help develop integrative functioning ecosystems. end set recommendations may

Language: Английский

Citations

270

Linking traits to species diversity and community structure in phytoplankton DOI
Elena Litchman, Paula de Tezanos Pinto, Christopher A. Klausmeier

et al.

Hydrobiologia, Journal Year: 2010, Volume and Issue: 653(1), P. 15 - 28

Published: July 11, 2010

Language: Английский

Citations

270