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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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End-To-End Models for the Analysis of Marine Ecosystems: Challenges, Issues, and Next Steps ArchiMer
Rose, Kenneth A.; Allen, J. Icarus; Artioli, Yuri; Barange, Manuel; Blackford, Jerry; Carlotti, Francois; Cropp, Roger; Daewel, Ute; Edwards, Karen; Flynn, Kevin; Hill, Simeon L.; Hillerislambers, Reinier; Huse, Geir; Mackinson, Steven; Megrey, Bernard; Moll, Andreas; Rivkin, Richard; Salihoglu, Baris; Schrum, Corinna; Shannon, Lynne; Shin, Yunne-jai; Smith, S. Lan; Smith, Chris; Solidoro, Cosimo; St John, Michael; Zhou, Meng.
There is growing interest in models of marine ecosystems that deal with the effects of climate change through the higher trophic levels. Such end-to-end models combine physicochemical oceanographic descriptors and organisms ranging from microbes to higher-trophic-level (HTL) organisms, including humans, in a single modeling framework. The demand for such approaches arises from the need for quantitative tools for ecosystem-based management, particularly models that can deal with bottom-up and top-down controls that operate simultaneously and vary in time and space and that are capable of handling the multiple impacts expected under climate change. End-to-end models are now feasible because of improvements in the component submodels and the availability of...
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Ano: 2010 URL: https://archimer.ifremer.fr/doc/00483/59488/62350.pdf
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Responses of summer phytoplankton biomass to changes in top-down forcing: Insights from comparative modelling ArchiMer
Maar, Marie; Butenschon, Momme; Daewel, Ute; Eggert, Anja; Fan, Wei; Hjollo, Solfrid S.; Hufnagl, Marc; Huret, Martin; Ji, Rubao; Lacroix, Genevieve; Peck, Myron A.; Radtke, Hagen; Sailley, Sevrine; Sinerchia, Matteo; Skogen, Morten D.; Travers-trolet, Morgane; Troost, Tineke A.; Van De Wolfshaar, Karen.
The present study describes the responses of summer phytoplankton biomass to changes in top-down forcing (expressed as zooplankton mortality) in three ecosystems (the North Sea, the Baltic Sea and the Nordic Seas) across different 3D ecosystem models. In each of the model set-ups, we applied the same changes in the magnitude of mortality (±20%) of the highest trophic zooplankton level (Z1). Model results showed overall dampened responses of phytoplankton relative to Z1 biomass. Phytoplankton responses varied depending on the food web structure and trophic coupling represented in the models. Hence, a priori model assumptions were found to influence cascades and pathways in model estimates and, thus, become highly relevant when examining ecosystem pressures...
Tipo: Text Palavras-chave: Plankton functional types; Trophic cascades; Zooplankton mortality; Phytoplankton; Ensemble modelling.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00433/54466/56083.pdf
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