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A protocol for the intercomparison of marine fishery and ecosystem models: Fish-MIP v1.0 5
Tittensor, Derek P.; Eddy, Tyler D.; Lotze, Heike K.; Galbraith, Eric D.; Cheung, William; Barange, Manuel; Blanchard, Julia L.; Bopp, Laurent; Bryndum-buchholz, Andrea; Buechner, Matthias; Bulman, Catherine; Carozza, David A.; Christensen, Villy; Coll, Marta; Dunne, John P.; Fernandes, Jose A.; Fulton, Elizabeth A.; Hobday, Alistair J.; Huber, Veronika; Jennings, Simon; Jones, Miranda; Lehodey, Patrick; Link, Jason S.; Mackinson, Steve; Maury, Olivier; Niiranen, Susa; Oliveros-ramos, Ricardo; Roy, Tilla; Schewe, Jacob; Shin, Yunne-jai; Silva, Tiago; Stock, Charles A.; Steenbeek, Jeroen; Underwood, Philip J.; Volkholz, Jan; Watson, James R.; Walker, Nicola D..
Model intercomparison studies in the climate and Earth sciences communities have been crucial to building credibility and coherence for future projections. They have quantified variability among models, spurred model development, contrasted within- and among-model uncertainty, assessed model fits to historical data, and provided ensemble projections of future change under specified scenarios. Given the speed and magnitude of anthropogenic change in the marine environment and the consequent effects on food security, biodiversity, marine industries, and society, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. Here, we describe the Fisheries and Marine Ecosystem Model Intercomparison Project protocol version 1.0...
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Ano: 2018 URL: https://archimer.ifremer.fr/doc/00438/54988/75118.pdf
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Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change 5
Lotze, Heike K.; Tittensor, Derek P.; Bryndum-buchholz, Andrea; Eddy, Tyler D.; Cheung, William W. L.; Galbraith, Eric D.; Barange, Manuel; Barrier, Nicolas; Bianchi, Daniele; Blanchard, Julia L; Bopp, Laurent; Buchner, Matthias; Bulman, Catherine M.; Carozza, David A.; Christensen, Villy; Coll, Marta; Dunne, John P.; Fulton, Elizabeth A.; Jennings, Simon; Jones, Miranda C.; Mackinson, Steve; Maury, Olivier; Niiranen, Susa; Oliveros-ramos, Ricardo; Roy, Tilla; Fernandes, Jose A.; Schewe, Jacob; Shin, Yunne-jai; Silva, Tiago A. M.; Steenbeek, Jeroen; Stock, Charles A.; Verley, Philippe; Volkholz, Jan; Walker, Nicola D.; Worm, Boris.
While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (+/- 4% SD) under low emissions and 17% (+/- 11% SD) under high emissions by 2100, with an average 5% decline for every 1 degrees C of warming. Projected biomass...
Tipo: Text Palavras-chave: Climate change impacts; Marine food webs; Global ecosystem modeling; Model intercomparison; Uncertainty.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00659/77125/78507.pdf
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Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models 5
Lee, Younjoo J.; Matrai, Patricia A.; Friedrichs, Marjorie A. M.; Saba, Vincent S.; Aumont, Olivier; Babin, Marcel; Buitenhuis, Erik T.; Chevallier, Matthieu; De Mora, Lee; Dessert, Morgane; Dunne, John P.; Ellingsen, Ingrid H.; Feldman, Doron; Frouin, Robert; Gehlen, Marion; Gorgues, Thomas; Ilyina, Tatiana; Jin, Meibing; John, Jasmin G.; Lawrence, Jon; Manizza, Manfredi; Menkes, Christophe E.; Perruche, Coralie; Le Fouest, Vincent; Popova, Ekaterina E.; Romanou, Anastasia; Samuelsen, Annette; Schwinger, Jorg; Seferian, Roland; Stock, Charles A.; Tjiputra, Jerry; Tremblay, Bruno; Ueyoshi, Kyozo; Vichi, Marcello; Yool, Andrew; Zhang, Jinlun.
The relative skill of 21 regional and global biogeochemical models was assessed in terms of how well the models reproduced observed net primary productivity (NPP) and environmental variables such as nitrate concentration (NO3), mixed layer depth (MLD), euphotic layer depth (Z(eu)), and sea ice concentration, by comparing results against a newly updated, quality-controlled in situ NPP database for the Arctic Ocean (1959-2011). The models broadly captured the spatial features of integrated NPP (iNPP) on a pan-Arctic scale. Most models underestimated iNPP by varying degrees in spite of overestimating surface NO3, MLD, and Z(eu) throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free versus ice-influenced)...
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Ano: 2016 URL: https://archimer.ifremer.fr/doc/00373/48441/69564.pdf
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