Glowing in the dark: discriminating patterns of bioluminescence from different taxa during the Arctic polar night |
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Authors: | Geir Johnsen Mauro Candeloro Jørgen Berge Mark Moline |
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Affiliation: | 1. Applied Underwater Robotics Laboratory, Department of Biology, Norwegian University of Technology and Science (NTNU), Trondheim, Norway 2. Department of Arctic Biology, University Centre on Svalbard (UNIS), Longyearbyen, Norway 3. Applied Underwater Robotics Laboratory, Department of Marine Technology, Norwegian University of Technology and Science (NTNU), Trondheim, Norway 4. Faculty of Biosciences, Fisheries and Economy, Institute of Arctic and Marine Biology, University of Troms?, Troms?, Norway 5. School of Marine Science and Policy, University of Delaware, Newark, DE, USA
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Abstract: | Research since 2009 has shown that despite almost total darkness during the Arctic polar night, there is much more biological activity than previously assumed, both at the sea surface, water column and sea floor. Here, we describe in situ monitoring of the bioluminescent fraction of the zooplankton community (dinoflagellates, copepods, krill and ctenophores) as a function of time and space. In order to examine the relative contribution of each selected taxon and any diurnal patterns in the relative signals, a time series platform capable of detecting in situ bioluminescent flashes was established in Kongsfjord, Svalbard, during the polar night in January 2013. Combined with laboratory-controlled measurements of animals collected next to the time series platform, we present both taxon-specific and community characteristics of the bioluminescence signal from a location at 79°N and from the middle of the polar night. Based on this 51-h time series, we conclude that the bioluminescent fraction of the zooplankton does not maintain a diurnal signal. Rather, the frequency of bioluminescence flashes from the entire bioluminescent community remained steady throughout the sampling period. Furthermore, we conclude that bioluminescence flash kinetic characteristics have a strong potential for in situ taxa recognition of zooplankton. |
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