K
Karl Øystein Gjelland
Researcher at Norwegian Polar Institute
Publications - 48
Citations - 1041
Karl Øystein Gjelland is an academic researcher from Norwegian Polar Institute. The author has contributed to research in topics: Coregonus albula & Population. The author has an hindex of 15, co-authored 45 publications receiving 749 citations. Previous affiliations of Karl Øystein Gjelland include Norwegian College of Fishery Science & University of Washington.
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Big-data approaches lead to an increased understanding of the ecology of animal movement
Ran Nathan,Christopher T. Monk,Robert Arlinghaus,Timo Adam,Josep Alós,Michael Assaf,Henrik Baktoft,Christine E. Beardsworth,Michael G. Bertram,Allert I. Bijleveld,Tomas Brodin,Jill L. Brooks,Andrea Campos-Candela,Steven J. Cooke,Karl Øystein Gjelland,Pratik Rajan Gupte,Roi Harel,Gustav Hellström,Florian Jeltsch,Shaun S. Killen,Thomas Klefoth,Roland Langrock,Robert J. Lennox,Emmanuel Lourie,Joah R. Madden,Yotam Orchan,Ine Pauwels,Milan Říha,Manuel Roeleke,Ulrike E. Schlägel,David Shohami,Johannes Signer,Sivan Toledo,Ohad Vilk,Samuel Westrelin,Mark A. Whiteside,Ivan Jarić +36 more
TL;DR: A review suggests that modern “big-data” techniques are vastly increasing the authors' understanding of animal movement and its ecology, following previous developments in fields such as genomics and environmental monitoring.
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The role of gill raker number variability in adaptive radiation of coregonid fish
Kimmo K. Kahilainen,Anna Siwertsson,Karl Øystein Gjelland,Rune Knudsen,Thomas Bøhn,Per-Arne Amundsen +5 more
TL;DR: It is argued that zooplankton feeding leads to an eco-evolutionary feedback loop that may further shape the gill raker morphology since natural selection intensifies under resource competition for depleted prey communities.
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Environmental influence on transmitter detection probability in biotelemetry: developing a general model of acoustic transmission
TL;DR: In this article, the authors investigated the influence of environmental factors on the detection probability and detection rate of acoustic telemetry tags and found that wind was the strongest influence on the signal detection rate, and that the attenuation coefficient as a function of wind speed was successfully modelled using general sound propagation theory.
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Predation by brown trout (Salmo trutta) along a diversifying prey community gradient
Hallvard Jensen,Kimmo K. Kahilainen,Per-Arne Amundsen,Karl Øystein Gjelland,Antti Tuomaala,Tommi Malinen,Thomas Bøhn +6 more
TL;DR: Five lakes of a subarctic watershed are contrasted to explore how prey community characteristics affect prey selection and growth rate of the common top predator, brown trout, and the selection of small-sized, pelagic prey fish appeared to be a favourable foraging strategy for the brown trout.
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Positioning of aquatic animals based on time-of-arrival and random walk models using YAPS (Yet Another Positioning Solver).
TL;DR: A novel positioning method called YAPS (Yet Another Positioning Solver), involving Maximum Likelihood analysis of a state-space model applied directly to time of arrival (TOA) data in combination with a movement model, which is concluded to constitute a vast improvement to currently available positioning software in acoustic telemetry.