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Biomass changes and trophic amplification of plankton in a warmer ocean ArchiMer
Chust, Guillem; Allen, J. Icarus; Bopp, Laurent; Schrum, Corinna; Holt, Jason; Tsiaras, Kostas; Zavatarelli, Marco; Chifflet, Marina; Cannaby, Heather; Dadou, Isabelle; Daewel, Ute; Wakelin, Sarah L.; Machu, Eric; Pushpadas, Dhanya; Butenschon, Momme; Artioli, Yuri; Petihakis, Georges; Smith, Chris; Garcon, Veronique; Goubanova, Katerina; Le Vu, Briac; Fach, Bettina A.; Salihoglu, Baris; Clementi, Emanuela; Irigoien, Xabier.
Ocean warming can modify the ecophysiology and distribution of marine organisms, and relationships between species, with nonlinear interactions between ecosystem components potentially resulting in trophic amplification. Trophic amplification (or attenuation) describe the propagation of a hydroclimatic signal up the food web, causing magnification (or depression) of biomass values along one or more trophic pathways. We have employed 3-D coupled physical-biogeochemical models to explore ecosystem responses to climate change with a focus on trophic amplification. The response of phytoplankton and zooplankton to global climate-change projections, carried out with the IPSL Earth System Model by the end of the century, is analysed at global and regional basis,...
Tipo: Text Palavras-chave: Ecosystem model; Food web; Plankton; Primary production; Sea warming; Trophic amplification.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00188/29966/28481.pdf
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SST subseasonal variability in the central Benguela upwelling system as inferred from satellite observations (1999-2009) ArchiMer
Goubanova, Katerina; Illig, Serena; Machu, Eric; Garcon, Veronique; Dewitte, Boris.
Subseasonal variability of Sea Surface Temperature (SST) in the central Benguela upwelling system is investigated using TMI satellite-derived data over the period 1999-2009. Spatial patterns and time-frequency characteristics of subseasonal variability are documented based on Empirical Orthogonal Functions (EOF) decomposition and wavelet analysis. Despite the land contamination of the TMI satellite data within approximately 100 km off the coast the first EOF of SST anomalies allows characterizing the coastal upwelling variability at the subseasonal scale. Two regimes of variability are evidenced: a submonthly (2-30 days) regime with a dominant 11 days oscillation and a lower frequency intraseasonal (30-90 days) regime with a dominant 61 days oscillation....
Tipo: Text Palavras-chave: Benguela upwelling; Satellite observations; Intraseasonal variability; Wind-SST relationship; Mean vertical stratification; Antarctic oscillation.
Ano: 2013 URL: http://archimer.ifremer.fr/doc/00164/27565/25928.pdf
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