. (2022). (Vol. 225).
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. (2010). Accelerating growth of HFC-227ea (1,1,1,2,3,3,3-heptafluoropropane) in the atmosphere
. Atmos. Chem. Phys., 10(13), 5903–5910.
Abstract: We report the first measurements of 1,1,1,2,3,3,3-heptafluoropropane (HFC-227ea), a substitute for ozone depleting compounds, in air samples originating from remote regions of the atmosphere and present evidence for its accelerating growth. Observed mixing ratios ranged from below 0.01 ppt in deep firn air to 0.59 ppt in the current northern mid-latitudinal upper troposphere. Firn air samples collected in Greenland were used to reconstruct a history of atmospheric abundance. Year-on-year increases were deduced, with acceleration in the growth rate from 0.029 ppt per year in 2000 to 0.056 ppt per year in 2007. Upper tropospheric air samples provide evidence for a continuing growth until late 2009. Furthermore we calculated a stratospheric lifetime of 370 years from measurements of air samples collected on board high altitude aircraft and balloons. Emission estimates were determined from the reconstructed atmospheric trend and suggest that current “bottom-up” estimates of global emissions for 2005 are too high by a factor of three.
Programme: 458
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Masson, S., Klein, K.-L., Buetikofer, R., Flueckiger, E., Kurt, V., Yushkov B. & Krucker, S. (2009). Acceleration of Relativistic Protons during the 20 January 2005 Flare and CME. SOLAR PHYSICS, 257, 305.
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Olivia Hicks, Akiko Kato, Frederic Angelier, Danuta M. Wisniewska, Catherine Hambly, John R. Speakman, Coline Marciau, Yan Ropert-Coudert. (2020). Acceleration predicts energy expenditure in a fat, flightless, diving bird (Vol. 10).
Keywords: Ecology Ecophysiology
Programme: 1091
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Tiphaine Jeanniard?du?Dot, Christophe Guinet, John P. Y. Arnould, John R. Speakman, Andrew W. Trites. (2017). Accelerometers can measure total and activity-specific energy expenditures in free-ranging marine mammals only if linked to time-activity budgets (Vol. 31).
Keywords: acceleration Antarctic fur seal energy expenditure foraging metabolic rate northern fur seal time-activity budget VeDBA
Programme: 109
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Jeanniard?du?Dot Tiphaine, Guinet Christophe, Arnould John P.Y., Speakman John R., Trites Andrew W., Goldbogen Jeremy. (2017). Accelerometers can measure total and activity?specific energy expenditures in free?ranging marine mammals only if linked to time?activity budgets (Vol. 31).
Keywords: acceleration Antarctic fur seal energy expenditure foraging metabolic rate northern fur seal time?activity budget VeDBA
Programme: 109
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Dreux P., Galiana D. & Voisin J.F. (1992). Bulletin de la societe entomologique de france, 3, 219–221.
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Fahlman A., Halsey L.G., Jones D.R., Schmid A, Durand S, Froget G., Bost C.A., Butler P.J., Duchamp C. & Handrich Y. (2006). Accounting for body condition improves allometric estimates of resting metabolic rates in fasting king penguins, Aptenodytes patagonicus. Polar Biol., 29, 609–614.
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Santin-Janin Hugues, Hugueny Bernard, Aubry Philippe, Fouchet David, Gimenez Olivier, Pontier Dominique, . (2014). Accounting for Sampling Error When Inferring Population Synchrony from Time-Series Data: A Bayesian State-Space Modelling Approach with Applications
. PLoS ONE, 9(1), e87084–.
Abstract: BackgroundData collected to inform time variations in natural population size are tainted by sampling error. Ignoring sampling error in population dynamics models induces bias in parameter estimators, e.g., density-dependence. In particular, when sampling errors are independent among populations, the classical estimator of the synchrony strength (zero-lag correlation) is biased downward. However, this bias is rarely taken into account in synchrony studies although it may lead to overemphasizing the role of intrinsic factors (e.g., dispersal) with respect to extrinsic factors (the Moran effect) in generating population synchrony as well as to underestimating the extinction risk of a metapopulation. Methodology/Principal findingsThe aim of this paper was first to illustrate the extent of the bias that can be encountered in empirical studies when sampling error is neglected. Second, we presented a space-state modelling approach that explicitly accounts for sampling error when quantifying population synchrony. Third, we exemplify our approach with datasets for which sampling variance (i) has been previously estimated, and (ii) has to be jointly estimated with population synchrony. Finally, we compared our results to those of a standard approach neglecting sampling variance. We showed that ignoring sampling variance can mask a synchrony pattern whatever its true value and that the common practice of averaging few replicates of population size estimates poorly performed at decreasing the bias of the classical estimator of the synchrony strength. Conclusion/SignificanceThe state-space model used in this study provides a flexible way of accurately quantifying the strength of synchrony patterns from most population size data encountered in field studies, including over-dispersed count data. We provided a user-friendly R-program and a tutorial example to encourage further studies aiming at quantifying the strength of population synchrony to account for uncertainty in population size estimates.
Programme: 279
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Maurette M., Brack A., Engrand C., Kurat G., Leach S. & Perreau M. (1994). Accretion and chemistry along the trajectory of'shooting stars'. Meteoritics, 29, 498.
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