An ecosystem model of the global ocean including Fe, Si, P colimitations

By O. Aumont, E. Maier‐Reimer, S. Blain, P. Monfray. 2003

483 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a4ff3d8aca78c331edaa6794c2eaada575fbfb10

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In Oceanography

Citations in the corpus

Assimilation of seasonal chlorophyll and nutrient data into an adjoint three‐dimensional ocean carbon cycle model: Sensitivity analysis and ecosystem parameter optimization (2007, background): “1) [Maier-Reimer, 1993; Six and Maier-Reimer, 1996; Aumont et al., 2003].”
Regional impacts of iron-light colimitation in a global biogeochemical model (2009, methodology): “Recent versions of the Pelagic Interaction Scheme for Ecosystem Studies (PISCES), such as those used by Aumont et al. (2008) and Tagliabue et al. (2009), include explicit iron dependencies for all three of these terms (L.”
Assessing the potential long-term increase of oceanic fossil fuel CO 2 uptake due to CO 2 -calcification feedback (2007, unknown): “The clustering in the range ∼ 8–10 PgC yr − 1 is consistent with published inter-model variability (e.g., Aumont et al., 2003; Heinze et al., 1999; Schmittner et al., 2005).”
Effect of iron deficiency on diatom cell size and silicic acid uptake kinetics (2004, background): “For example, the high KSi values observed in the Southern Ocean (up to almost 90 mmol L21) were considered to be biased because of a possible iron limitation (Aumont et al. 2003).”
Global biogeochemical impacts of phytoplankton: a trait‐based perspective (2015, background): “Models often incorporate this variation by using two or three size classes (Moore et al. 2002; Aumont et al. 2003; Blackford, Allen & Gilbert 2004), or by using functional types whose parameterization is based in part on size differences (e.g. mixed phytoplankton, diatoms, coccolithophores; Le Qu…”
Biogeochemical fluxes through mesozooplankton (2006, unknown): “In this section we describe two versions of the biogeochemical model PISCES ( Aumont et al., 2003).”
Dissolved organic matter (DOM) release by phytoplankton in the contemporary and future ocean (2014, background): “Aumont et al. (2003) incorporated fixed values of DOC release into their ecosystem model of the global ocean containing two functional phytoplankton groups.”
An overview of APECOSM, a spatialized mass balanced “Apex Predators ECOSystem Model” to study physiologically structured tuna population dynamics in their ecosystem (2010, methodology): “NO 3 - Weight Diatoms10-100 μ μm Nanophytoplankton1-10 μm OOPCs (3 communities) PAR Micro-zooplankton Energy t, x, y, z Meso-zooplankton NEMO-PISCES APECOSM APECOSM NH4 + P.O.M.”
Bio‐optical feedbacks among phytoplankton, upper ocean physics and sea‐ice in a global model (2005, methodology): “[10] The DGOM is a modified version of the PISCES model [Aumont et al., 2003].”
Pelagic functional group modeling: Progress, challenges and prospects (2006, unknown): “Several models have yielded realistic distributions and time courses of [Si(OH)4], SiObio and the contribution of diatoms to primary productivity using this assumption (Chai et al., 2002; Fujii et al., 2002; Aumont et al., 2003).”
Dynamic global vegetation modelling: quantifying terrestrial ecosystem responses to large-scale environmental change (2007, background): “PFTs differ in their resistance to fire, so that the degree of damage caused to standing biomass depends on the vegetation composition.”
Modelling planktic foraminifer growth and distribution using an ecophysiological multi-species approach (2011, background): “species having the highest abundance in the foraminiferal assemblage) in sea surface plankton tows (0–10 m) were recovered from Bé and Tolderlund (1971). This study covers the entire Atlantic and Indian Oceans.”
Developing integrated models of Southern Ocean food webs: Including ecological complexity, accounting for uncertainty and the importance of scale (2012, unknown): “…al., 1986; Fasham et al., 1990) or variable (Schartau et al., 2007) stoichiometry and in the representation of phytoplankton functional types (e.g. Moore et al., 2002; Aumont et al., 2003; Gregg et al., 2003; Le Quere et al., 2005; Aumont and Bopp, 2006; Gregg and Casey, 2007; Yool et al., 2011).”
Growth physiology and fate of diatoms in the ocean: a review (2005, methodology): “One tool to answer these questions is the use of physiologically based phytoplankton growth models (e.g. SWANCO model, Lancelot et al., 2000) and global 3D carbon models (e.g. PISCES model, Aumont et al., 2003).”