Arnoldus Schytte Blix
University of Tromsø
178 Papers
1.6K Citations
Arnoldus Schytte Blix is an academic researcher from University of Tromsø. The author has contributed to research in topics: Biology & Harp seal. The author has an hindex of 43, co-authored 174 publications. Previous affiliations of Arnoldus Schytte Blix include University of Cambridge & University of Oslo.
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Papers
A new device for measurement of the thermal conductivity of fur and blubber
TL;DR: In this article, the thermal conductivity of harp seal (Phoca groenlandica) and minke whale (Balaenoptera acutorostrata) blubber was determined from the steady state temperature difference and heat flux through a polyethylene pipe with a central heat source.
Seasonal distribution and dive behaviour of harp seals ( Pagophilus groenlandicus ) of the White Sea–Barents Sea stock
TL;DR: Data from tagged harp seals and satellite-linked dive recorders provide a baseline for the evaluation of the effects of future climatic change in the rich Barents Sea ecosystem.
Seasonal changes in the effects of starvation on metabolic rate and regulation of body weight in Svalbard Ptarmigan
TL;DR: The potential durability of the body fat reserves of starving Svalbard Ptarmigan was assessed at monthly intervals during the dark part of the winter to indicate that body weight in the Svalberg Ptarmigans is regulated according to a seasonally changing set-point.
Reindeer breathe less and save water in the cold
TL;DR: In this paper, simultaneous measurements of metabolic rate, respiratory minute volume, respiratory frequency, and oxygen extraction from the inspired air were obtained during treadmill exercise in Svalbard reindeer (Rangifer tarandus platyrhynchus) and Norwegian reindeers (Rinke et al. 2014) for both summer and winter at ambient temperatures and running speeds ranging from +12 to -30 °C.
Slow intrinsic oscillations in thick neocortical slices of hypoxia tolerant deep diving seals.
TL;DR: The observed activities in seal neocortical slices support the notion that mammalian cortical networks intrinsically generate multiple states of activity that include oscillatory activity all the way down to <0.1 Hz.