Articles | Volume 3, issue 4
https://doi.org/10.5194/bg-3-585-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/bg-3-585-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Multi-nutrient, multi-group model of present and future oceanic phytoplankton communities
E. Litchman
Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901, USA
Michigan State University, Kellogg Biological Station, MI 49060, USA
C. A. Klausmeier
Michigan State University, Kellogg Biological Station, MI 49060, USA
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
J. R. Miller
Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901, USA
O. M. Schofield
Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901, USA
P. G. Falkowski
Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901, USA
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- The role of functional traits and trade‐offs in structuring phytoplankton communities: scaling from cellular to ecosystem level E. Litchman et al. 10.1111/j.1461-0248.2007.01117.x
- Bayesian inference to partition determinants of community dynamics from observational time series C. Mutshinda et al. 10.1556/168.2019.20.3.4
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- Resolving phytoplankton taxa based on high-throughput sequencing during brown tides in the Bohai Sea, China Z. Chen et al. 10.1016/j.hal.2019.03.011
- Microbes, mud and methane: cause and consequence of recurrent Early Jurassic anoxia following the end‐Triassic mass extinction B. van de Schootbrugge et al. 10.1111/pala.12034
- Phytoplankton traits from long-term oceanographic time-series C. Mutshinda et al. 10.3354/meps12220
- Numerical modelling of physiological and ecological impacts of ocean acidification on coccolithophores M. Furukawa et al. 10.1016/j.jmarsys.2018.02.008
- Linking traits to species diversity and community structure in phytoplankton E. Litchman et al. 10.1007/s10750-010-0341-5
- Regulation of chain length in two diatoms as a growth-fragmentation process M. Gherardi et al. 10.1103/PhysRevE.94.022418
- Phytoplankton niches, traits and eco-evolutionary responses to global environmental change E. Litchman et al. 10.3354/meps09912
- Ceratium furcoides (Dinophyceae) and Microcystis spp. (Cyanophyceae) segregation patterns are ruled by nutrient availability and meteorological shifts in a subtropical region R. da Silva et al. 10.1007/s10750-024-05771-4
- Poor correlation between phytoplankton community growth rates and nutrient concentration in the sea A. Regaudie-de-Gioux et al. 10.5194/bg-12-1915-2015
- The response of marine carbon and nutrient cycles to ocean acidification: Large uncertainties related to phytoplankton physiological assumptions A. Tagliabue et al. 10.1029/2010GB003929
- Coupled physical-biogeochemical simulations of upwelling, ecological response to fresh water A. Gera et al. 10.1016/j.ecolmodel.2022.110246
- Understanding and predicting harmful algal blooms in a changing climate: A trait‐based framework E. Litchman 10.1002/lol2.10294
- Phytoplankton responses to the 2014–2016 warming anomaly in the northeast subarctic Pacific Ocean M. Peña et al. 10.1002/lno.11056
- Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data H. Xi et al. 10.1016/j.rse.2020.111704
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