@article{HofmanHaywardHeimetal.2019, author = {Hofman, Maarten P. G. and Hayward, M. W. and Heim, M. and Marchand, P. and Rolandsen, C. M. and Mattisson, Jenny and Urbano, F. and Heurich, M. and Mysterud, A. and Melzheimer, J. and Morellet, N. and Voigt, Ulrich and Allen, B. L. and Gehr, Benedikt and Rouco Zufiaurre, Carlos and Ullmann, Wiebke and Holand, O. and Jorgensen, n H. and Steinheim, G. and Cagnacci, F. and Kroeschel, M. and Kaczensky, P. and Buuveibaatar, B. and Payne, J. C. and Palmegiani, I and Jerina, K. and Kjellander, P. and Johansson, O. and LaPoint, S. and Bayrakcismith, R. and Linnell, J. D. C. and Zaccaroni, M. and Jorge, M. L. S. and Oshima, J. E. F. and Songhurst, A. and Fischer, C. and Mc Bride, R. T. and Thompson, J. J. and Streif, S. and Sandfort, R. and Bonenfant, Christophe and Drouilly, M. and Klapproth, M. and Zinner, Dietmar and Yarnell, Richard and Stronza, A. and Wilmott, L. and Meisingset, E. and Thaker, Maria and Vanak, A. T. and Nicoloso, S. and Graeber, R. and Said, S. and Boudreau, M. R. and Devlin, A. and Hoogesteijn, R. and May-Junior, J. A. and Nifong, J. C. and Odden, J. and Quigley, H. B. and Tortato, F. and Parker, D. M. and Caso, A. and Perrine, J. and Tellaeche, C. and Zieba, F. and Zwijacz-Kozica, T. and Appel, C. L. and Axsom, I and Bean, W. T. and Cristescu, B. and Periquet, S. and Teichman, K. J. and Karpanty, S. and Licoppe, A. and Menges, V and Black, K. and Scheppers, Thomas L. and Schai-Braun, S. C. and Azevedo, F. C. and Lemos, F. G. and Payne, A. and Swanepoel, L. H. and Weckworth, B. and Berger, A. and Bertassoni, Alessandra and McCulloch, G. and Sustr, P. and Athreya, V and Bockmuhl, D. and Casaer, J. and Ekori, A. and Melovski, D. and Richard-Hansen, C. and van de Vyver, D. and Reyna-Hurtado, R. and Robardet, E. and Selva, N. and Sergiel, A. and Farhadinia, M. S. and Sunde, P. and Portas, R. and Ambarli, H{\"u}seyin and Berzins, R. and Kappeler, P. M. and Mann, G. K. and Pyritz, L. and Bissett, C. and Grant, T. and Steinmetz, R. and Swedell, Larissa and Welch, R. J. and Armenteras, D. and Bidder, O. R. and Gonzalez, T. M. and Rosenblatt, A. and Kachel, S. and Balkenhol, N.}, title = {Right on track?}, series = {PLoS one}, volume = {14}, journal = {PLoS one}, number = {5}, publisher = {PLoS}, address = {San Fransisco}, issn = {1932-6203}, doi = {10.1371/journal.pone.0216223}, pages = {26}, year = {2019}, abstract = {Satellite telemetry is an increasingly utilized technology in wildlife research, and current devices can track individual animal movements at unprecedented spatial and temporal resolutions. However, as we enter the golden age of satellite telemetry, we need an in-depth understanding of the main technological, species-specific and environmental factors that determine the success and failure of satellite tracking devices across species and habitats. Here, we assess the relative influence of such factors on the ability of satellite telemetry units to provide the expected amount and quality of data by analyzing data from over 3,000 devices deployed on 62 terrestrial species in 167 projects worldwide. We evaluate the success rate in obtaining GPS fixes as well as in transferring these fixes to the user and we evaluate failure rates. Average fix success and data transfer rates were high and were generally better predicted by species and unit characteristics, while environmental characteristics influenced the variability of performance. However, 48\% of the unit deployments ended prematurely, half of them due to technical failure. Nonetheless, this study shows that the performance of satellite telemetry applications has shown improvements over time, and based on our findings, we provide further recommendations for both users and manufacturers.}, language = {en} } @article{TreatKleinenBroothaertsetal.2019, author = {Treat, Claire C. and Kleinen, Thomas and Broothaerts, Nils and Dalton, April S. and Dommain, Rene and Douglas, Thomas A. and Drexler, Judith Z. and Finkelstein, Sarah A. and Grosse, Guido and Hope, Geoffrey and Hutchings, Jack and Jones, Miriam C. and Kuhry, Peter and Lacourse, Terri and Lahteenoja, Outi and Loisel, Julie and Notebaert, Bastiaan and Payne, Richard J. and Peteet, Dorothy M. and Sannel, A. Britta K. and Stelling, Jonathan M. and Strauss, Jens and Swindles, Graeme T. and Talbot, Julie and Tarnocai, Charles and Verstraeten, Gert and Williams, Christopher J. and Xia, Zhengyu and Yu, Zicheng and Valiranta, Minna and Hattestrand, Martina and Alexanderson, Helena and Brovkin, Victor}, title = {Widespread global peatland establishment and persistence over the last 130,000 y}, series = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {116}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, number = {11}, publisher = {National Acad. of Sciences}, address = {Washington}, issn = {0027-8424}, doi = {10.1073/pnas.1813305116}, pages = {4822 -- 4827}, year = {2019}, abstract = {Glacial-interglacial variations in CO2 and methane in polar ice cores have been attributed, in part, to changes in global wetland extent, but the wetland distribution before the Last Glacial Maximum (LGM, 21 ka to 18 ka) remains virtually unknown. We present a study of global peatland extent and carbon (C) stocks through the last glacial cycle (130 ka to present) using a newly compiled database of 1,063 detailed stratigraphic records of peat deposits buried by mineral sediments, as well as a global peatland model. Quantitative agreement between modeling and observations shows extensive peat accumulation before the LGM in northern latitudes (> 40 degrees N), particularly during warmer periods including the last interglacial (130 ka to 116 ka, MIS 5e) and the interstadial (57 ka to 29 ka, MIS 3). During cooling periods of glacial advance and permafrost formation, the burial of northern peatlands by glaciers and mineral sediments decreased active peatland extent, thickness, and modeled C stocks by 70 to 90\% from warmer times. Tropical peatland extent and C stocks show little temporal variation throughout the study period. While the increased burial of northern peats was correlated with cooling periods, the burial of tropical peat was predominately driven by changes in sea level and regional hydrology. Peat burial by mineral sediments represents a mechanism for long-term terrestrial C storage in the Earth system. These results show that northern peatlands accumulate significant C stocks during warmer times, indicating their potential for C sequestration during the warming Anthropocene.}, language = {en} } @article{LevermannWinkelmannNowickietal.2014, author = {Levermann, Anders and Winkelmann, Ricarda and Nowicki, S. and Fastook, J. L. and Frieler, Katja and Greve, R. and Hellmer, H. H. and Martin, M. A. and Meinshausen, Malte and Mengel, Matthias and Payne, A. J. and Pollard, D. and Sato, T. and Timmermann, R. and Wang, Wei Li and Bindschadler, Robert A.}, title = {Projecting antarctic ice discharge using response functions from SeaRISE ice-sheet models}, series = {Earth system dynamics}, volume = {5}, journal = {Earth system dynamics}, number = {2}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {2190-4979}, doi = {10.5194/esd-5-271-2014}, pages = {271 -- 293}, year = {2014}, abstract = {The largest uncertainty in projections of future sea-level change results from the potentially changing dynamical ice discharge from Antarctica. Basal ice-shelf melting induced by a warming ocean has been identified as a major cause for additional ice flow across the grounding line. Here we attempt to estimate the uncertainty range of future ice discharge from Antarctica by combining uncertainty in the climatic forcing, the oceanic response and the ice-sheet model response. The uncertainty in the global mean temperature increase is obtained from historically constrained emulations with the MAGICC-6.0 (Model for the Assessment of Greenhouse gas Induced Climate Change) model. The oceanic forcing is derived from scaling of the subsurface with the atmospheric warming from 19 comprehensive climate models of the Coupled Model Intercomparison Project (CMIP-5) and two ocean models from the EU-project Ice2Sea. The dynamic ice-sheet response is derived from linear response functions for basal ice-shelf melting for four different Antarctic drainage regions using experiments from the Sea-level Response to Ice Sheet Evolution (SeaRISE) intercomparison project with five different Antarctic ice-sheet models. The resulting uncertainty range for the historic Antarctic contribution to global sea-level rise from 1992 to 2011 agrees with the observed contribution for this period if we use the three ice-sheet models with an explicit representation of ice-shelf dynamics and account for the time-delayed warming of the oceanic subsurface compared to the surface air temperature. The median of the additional ice loss for the 21st century is computed to 0.07 m (66\% range: 0.02-0.14 m; 90\% range: 0.0-0.23 m) of global sea-level equivalent for the low-emission RCP-2.6 (Representative Concentration Pathway) scenario and 0.09 m (66\% range: 0.04-0.21 m; 90\% range: 0.01-0.37 m) for the strongest RCP-8.5. Assuming no time delay between the atmospheric warming and the oceanic subsurface, these values increase to 0.09 m (66\% range: 0.04-0.17 m; 90\% range: 0.02-0.25 m) for RCP-2.6 and 0.15 m (66\% range: 0.07-0.28 m; 90\% range: 0.04-0.43 m) for RCP-8.5. All probability distributions are highly skewed towards high values. The applied ice-sheet models are coarse resolution with limitations in the representation of grounding-line motion. Within the constraints of the applied methods, the uncertainty induced from different ice-sheet models is smaller than that induced by the external forcing to the ice sheets.}, language = {en} } @article{PattynPerichonDurandetal.2013, author = {Pattyn, Frank and Perichon, Laura and Durand, Gael and Favier, Lionel and Gagliardini, Olivier and Hindmarsh, Richard C. A. and Zwinger, Thomas and Albrecht, Torsten and Cornford, Stephen and Docquier, David and Furst, Johannes J. and Goldberg, Daniel and Gudmundsson, Gudmundur Hilmar and Humbert, Angelika and Huetten, Moritz and Huybrechts, Philippe and Jouvet, Guillaume and Kleiner, Thomas and Larour, Eric and Martin, Daniel and Morlighem, Mathieu and Payne, Anthony J. and Pollard, David and Rueckamp, Martin and Rybak, Oleg and Seroussi, Helene and Thoma, Malte and Wilkens, Nina}, title = {Grounding-line migration in plan-view marine ice-sheet models: results of the ice2sea MISMIP3d intercomparison}, series = {Journal of glaciology}, volume = {59}, journal = {Journal of glaciology}, number = {215}, publisher = {International Glaciological Society}, address = {Cambridge}, issn = {0022-1430}, doi = {10.3189/2013JoG12J129}, pages = {410 -- 422}, year = {2013}, abstract = {Predictions of marine ice-sheet behaviour require models able to simulate grounding-line migration. We present results of an intercomparison experiment for plan-view marine ice-sheet models. Verification is effected by comparison with approximate analytical solutions for flux across the grounding line using simplified geometrical configurations (no lateral variations, no buttressing effects from lateral drag). Perturbation experiments specifying spatial variation in basal sliding parameters permitted the evolution of curved grounding lines, generating buttressing effects. The experiments showed regions of compression and extensional flow across the grounding line, thereby invalidating the boundary layer theory. Steady-state grounding-line positions were found to be dependent on the level of physical model approximation. Resolving grounding lines requires inclusion of membrane stresses, a sufficiently small grid size (<500 m), or subgrid interpolation of the grounding line. The latter still requires nominal grid sizes of <5 km. For larger grid spacings, appropriate parameterizations for ice flux may be imposed at the grounding line, but the short-time transient behaviour is then incorrect and different from models that do not incorporate grounding-line parameterizations. The numerical error associated with predicting grounding-line motion can be reduced significantly below the errors associated with parameter ignorance and uncertainties in future scenarios.}, language = {en} }