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Barbraud C. & Jouventin P. (1998). What causes body size variation in the Snow Petrel Pagodroma nivea? J. Avian Biol., 29, 161–171.
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. (2010). What caused Earth's temperature variations during the last 800,000 years? Data-based evidence on radiative forcing and constraints on climate sensitivity
. Quat Sci Rev, 29(1-2), 129–145.
Abstract: The temperature on Earth varied largely in the Pleistocene from cold glacials to interglacials of different warmths. To contribute to an understanding of the underlying causes of these changes we compile various environmental records (and model-based interpretations of some of them) in order to calculate the direct effect of various processes on Earth's radiative budget and, thus, on global annual mean surface temperature over the last 800,000 years. The importance of orbital variations, of the greenhouse gases CO 2 , CH 4 and N 2 O, of the albedo of land ice sheets, annual mean snow cover, sea ice area and vegetation, and of the radiative perturbation of mineral dust in the atmosphere are investigated. Altogether we can explain with these processes a global cooling of 3.90.8K in the equilibrium temperature for the Last Glacial Maximum (LGM) directly from the radiative budget using only the Planck feedback that parameterises the direct effect on the radiative balance, but neglecting other feedbacks such as water vapour, cloud cover, and lapse rate. The unaccounted feedbacks and related uncertainties would, if taken at present day feedback strengths, decrease the global temperature at the LGM by 8.01.6K. Increased Antarctic temperatures during the Marine Isotope Stages 5.5, 7.5, 9.3 and 11.3 are in our conceptual approach difficult to explain. If compared with other studies, such as PMIP2, this gives supporting evidence that the feedbacks themselves are not constant, but depend in their strength on the mean climate state. The best estimate and uncertainty for our reconstructed radiative forcing and LGM cooling support a present day equilibrium climate sensitivity (excluding the ice sheet and vegetation components) between 1.4 and 5.2K, with a most likely value near 2.4K, somewhat smaller than other methods but consistent with the consensus range of 24.5K derived from other lines of evidence. Climate sensitivities above 6K are difficult to reconcile with Last Glacial Maximum reconstructions.
Programme: 458
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. (2009). What can we learn from HF signal scattered from a discrete arc?
. Ann. Geophys., 27(5), 1887–1896.
Abstract: We present observations of a discrete southward propagating arc which appeared in the mid-night sector at latitudes equatorward of main substorm activity. The arc observations were made simultaneously by the ALFA (Auroral Light Fine Analysis) optical camera, the SuperDARN-CUTLASS HF radar and the Demeter satellite during a coordinated multi-instrumental campaign conducted at the KEOPS/ESRANGE site in December 2006. The SuperDARN HF signal which is often lost in the regions of strong electron precipitation yields in our case clear backscatter from an isolated arc of weak intensity. Consequently we are able to study arc dynamics, the formation of meso-scale irregularities of the electron density along the arc, compare the arc motion with the convection of surrounding plasma and discuss the contribution of ionospheric ions in the arc erosion and its propagation.
Programme: 312;911
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Vogel, N., Dommergue, A., Ferrari, C., Preunkert, S., Jourdain, B., Legrand, M. (2011). What can we learn from atmospheric Mercury monitoring in coastal Antarctica (DDU) ?.
Abstract: The 10th International Conference on Mercury as a Global Pollutant (ICMGP),Halifax (Canada), 24-29 July
Programme: 1028
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Schull Q, Reichert S, Stier A, Zahn S, Bize P, Robin JP, Massemin S Criscuolo F and V. Viblanc. (2014). What can telomeres tell us about life-history trade-offs in king penguins? Diversity in Telomere Dynamics Workshop, Nov 17-19, Drymen, Scotland UK.
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Morat F., S. Betoulle, M. Robert, A.F. Thailly, S. Biagianti-Risbourg, R. Lecomte-Finiger. (2008). What can otolith examination tell us about the level of perturbations of Salmonid fish from the Kerguelen Islands? Ecol Freshw Fish, 17(4), 617–627.
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Melieres M.A. (2000). What can be learned from glacial stage 6, as revealed by Vostok. French IGBP-WCRP News letter, Fevrier, 64–69.
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Dietz R., Letcher R.J., Ackerman, J.T. Barst B.D., Basu N., Chastel O., Chételat J., Dastnau S., Desforges J.P., Eagles-Smith C.A., Eulaers I., Fort J., Nabe-Nielsen J., Sonne C.., Wilson S. (2022). What are the toxicological effects of mercury in Arctic biota?.
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. (2013). What are the toxicological effects of mercury in Arctic biota? (Vol. 443).
Abstract: This review critically evaluates the available mercury (Hg) data in Arctic marine biota and the Inuit population against toxicity threshold values. In particular marine top predators exhibit concentrations of mercury in their tissues and organs that are believed to exceed thresholds for biological effects. Species whose concentrations exceed threshold values include the polar bears (Ursus maritimus), beluga whale (Delphinapterus leucas), pilot whale (Globicephala melas), hooded seal (Cystophora cristata), a few seabird species, and landlocked Arctic char (Salvelinus alpinus). Toothed whales appear to be one of the most vulnerable groups, with high concentrations of mercury recorded in brain tissue with associated signs of neurochemical effects. Evidence of increasing concentrations in mercury in some biota in Arctic Canada and Greenland is therefore a concern with respect to ecosystem health.
Keywords: Birds Exposure Fish Heavy metals Mammals Threshold levels
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Jonathan Rae, Colin Forsyth, Malcolm Dunlop, Minna Palmroth, Mark Lester, Reiner Friedel, Geoff Reeves, Larry Kepko, Lucille Turc, Clare Watt, Wojciech Hajdas, Theodoros Sarris, Yoshifumi Saito, Ondrej Santolik, Yuri Shprits, Chi Wang, Aurelie Marchaudon, Matthieu Berthomier, Octav Marghitu, Benoit Hubert, Martin Volwerk, Elena A. Kronberg, Ian Mann, Kyle Murphy, David Miles, Zhonghua Yao, Andrew Fazakerley, Jasmine Sandhu, Hayley Allison, Quanqi Shi. (2022). What are the fundamental modes of energy transfer and partitioning in the coupled Magnetosphere-Ionosphere system? (Vol. 54).
Keywords: Earth Magnetosphere-Ionosphere coupling Space missions Voyage 2050
Programme: 312
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