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Niels M. Schmidt, Bess Hardwick, Olivier Gilg, Toke T. Høye, Paul Henning Krogh, Hans Meltofte, Anders Michelsen, Jesper B. Mosbacher, Katrine Raundrup, Jeroen Reneerkens, Lærke Stewart, Helena Wirta, Tomas Roslin |
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Title |
Interaction webs in arctic ecosystems: Determinants of arctic change? |
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2017 |
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Ambio |
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46 |
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1 |
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12-25 |
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How species interact modulate their dynamics, their response to environmental change, and ultimately the functioning and stability of entire communities. Work conducted at Zackenberg, Northeast Greenland, has changed our view on how networks of arctic biotic interactions are structured, how they vary in time, and how they are changing with current environmental change: firstly, the high arctic interaction webs are much more complex than previously envisaged, and with a structure mainly dictated by its arthropod component. Secondly, the dynamics of species within these webs reflect changes in environmental conditions. Thirdly, biotic interactions within a trophic level may affect other trophic levels, in some cases ultimately affecting land–atmosphere feedbacks. Finally, differential responses to environmental change may decouple interacting species. These insights form Zackenberg emphasize that the combination of long-term, ecosystem-based monitoring, and targeted research projects offers the most fruitful basis for understanding and predicting the future of arctic ecosystems. |
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0044-7447, 1654-7209 |
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0044-7447, 1654-7209 |
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6961 |
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Author |
Perroud, Lucie |
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Title |
Etude des stratégies de soins parentaux des limicoles en région arctique: le cas du bécasseau sanderling (Calidris alba) |
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Master 2 |
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2014 |
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1036 |
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6978 |
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Richard, Yolan |
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Détermination du statut parasitaire de trois populations de lemming à collier en relation avec leurs densités |
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Master 2 |
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2012 |
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1036 |
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6979 |
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Schmidt, N. M., O. Gilg, J. Aars, and R. A. Ims |
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Fat, furry and flexible – characteristics of mammals living in the Arctic |
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2018 |
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1036 |
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6983 |
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Gauthier, G., F. I. Doyle, O. Gilg, I. E. Menyushina, R. I. G. Morrison, N. Ovsyanikov, I. Pokrovsky, D. G. Reid, A. Sokolov, and J.-F. Therrien |
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Birds of prey. Pages 62-75 in G. Gauthier and D. Berteaux, editors. ArcticWOLVES: Arctic Wildlife Observatories Linking Vulnerable EcoSystems. Final synthesis report. Centre d’études nordiques, Université Laval, Quebec City. |
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2011 |
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1036 |
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yes |
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6984 |
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Gilg, O., J. Moreau, and L. Bollache |
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Changements climatiques et interactions interspécifiques au sein d’une communauté de vertébrés terrestres arctiques. Arctique : les grands enjeux scientifiques, Collège de France (June, 4, 2013), Paris, France. |
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2013 |
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1036 |
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yes |
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6985 |
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Falk Huettmann, Yuri Artukhin, Olivier Gilg, Grant Humphries |
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Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform |
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2011 |
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Marine Biodiversity |
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41 |
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1 |
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141-179 |
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We present a first compilation, quantification and summary of 27 seabird species presence data for north of the Arctic circle (>66 degrees latitude North) and the ice-free period (summer). For species names, we use several taxonomically valid online databases [Integrated Taxonomic Information System (ITIS), AviBase, 4 letter species codes of the American Ornithological Union (AOU), The British List 2000, taxonomic serial numbers TSNs, World Register of Marine Species (WORMS) and APHIA ID] allowing for a compatible taxonomic species cross-walk, and subsequent applications, e.g., phylogenies. Based on the data mining and machine learning RandomForest algorithm, and 26 environmental publicly available Geographic Information Systems (GIS) layers, we built 27 predictive seabird models based on public open access data archives such as the Global Biodiversity Information Facility (GBIF), North Pacific Pelagic Seabird Database (NPPSD) and PIROP database (in OBIS-Seamap). Model-prediction scenarios using pseudo-absence and expert-derived absence were run; aspatial and spatial model assessment metrics were applied. Further, we used an additional species model performance metric based on the best publicly available Arctic seabird colony location datasets compiled by the authors using digital and literature sources. The obtained models perform reasonably: from poor (only a few coastal species with low samples) to very high (many pelagic species). In compliance with data policies of the International Polar Year (IPY) and similar initiatives, data and models are documented with FGDC NBII metadata and publicly available online for further improvement, sustainability applications, synergy, and intellectual explorations in times of a global biodiversity, ocean and Arctic crisis. |
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1036 |
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Bachelor's thesis |
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1867-1616, 1867-1624 |
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6987 |
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Aebischer, A., J. Lang, B. Sittler, and O. Gilg |
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Post-breeding movements as assessed via satellite telemetry of Greenlandic owls (2-6 March 2014). 3rd International Snowy Owl Working Group. Russian Academy of Science, Oural Branch, Salekhard-Yamal, Russia. |
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2014 |
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1036 |
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6988 |
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Gilg, O. |
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Greenland. Tundra Conservation Network (10-12 February 2014). The Peregrine Fund, World Center for Birds of Prey, Boise, USA. |
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2014 |
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6989 |
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Gilg, O. and B. Sittler |
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Lemmings in NE Greenland: range limits, latitudinal gradient, old data and future thoughts. Lemming snow workshop (December 4-5, 2013), Tromso, Norway. |
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2013 |
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6990 |
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