2017
DOI: 10.1002/2017jc012828
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Modeling Arctic sea‐ice algae: Physical drivers of spatial distribution and algae phenology

Abstract: Algae growing in sea ice represent a source of carbon for sympagic and pelagic ecosystems and contribute to the biological carbon pump. The biophysical habitat of sea ice on large scales and the physical drivers of algae phenology are key to understanding Arctic ecosystem dynamics and for predicting its response to ongoing Arctic climate change. In addition, quantifying potential feedback mechanisms between algae and physical processes is particularly important during a time of great change. These mechanisms i… Show more

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Cited by 38 publications
(50 citation statements)
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References 99 publications
(175 reference statements)
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“…The values range from 5 to 275 days; in some places, the bloom is prevented completely. The present study does confirm the finding of Castellani et al (2017) that the shading effect is spatially variable and can have a strong impact on the phytoplankton …”
Section: Shading Of Ice Algae (Exp5)supporting
confidence: 80%
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“…The values range from 5 to 275 days; in some places, the bloom is prevented completely. The present study does confirm the finding of Castellani et al (2017) that the shading effect is spatially variable and can have a strong impact on the phytoplankton …”
Section: Shading Of Ice Algae (Exp5)supporting
confidence: 80%
“…It is difficult to directly compare the results of the present study with those of Castellani et al (2017) ) factor of 1/4.56 (Lavoie et al, 2005). Figure 16 shows the spatial variability in the under-ice bloom onset based on the definition above.…”
Section: Shading Of Ice Algae (Exp5)mentioning
confidence: 76%
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