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Interaction webs in arctic ecosystems: Determinants of arctic change?
Authors: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
Institution:1.Department of Bioscience, Arctic Research Centre,Aarhus University,Roskilde,Denmark;2.Department of Agricultural Sciences,University of Helsinki,Helsinki,Finland;3.GREA,Francheville,France;4.Department of Bioscience, Arctic Research Centre,Aarhus University,R?nde,Denmark;5.Department of Bioscience, Soil Fauna Ecology and Ecotoxicology and Arctic Research Centre,Aarhus University,Silkeborg,Denmark;6.Department of Bioscience,Aarhus University,Roskilde,Denmark;7.Department of Biology,University of Copenhagen,Copenhagen,Denmark;8.Greenland Institute of Natural Resources,Nuuk,Greenland;9.Animal Ecology Group,University of Groningen,Groningen,The Netherlands;10.Department of Ecology,Swedish University of Agricultural Sciences,Uppsala,Sweden
Abstract: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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