2019
DOI: 10.1029/2019gl082873
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Contrasting Ice Algae and Snow‐Dependent Irradiance Relationships Between First‐Year and Multiyear Sea Ice

Abstract: During the 2018 Multidisciplinary Arctic Program‐Last Ice in the Lincoln Sea, we sampled 45 multiyear ice (MYI) and 34 first‐year ice (FYI) cores, combined with snow depth, ice thickness, and transmittance surveys from adjacent level FYI and undeformed MYI. FYI sites show a decoupling between bottom‐ice chlorophyll a (chl a) and snow depth; however, MYI showed a significant correlation between ice‐algal chl a biomass and snow depth. Topographic control of the snow cover resulted in greater spatiotemporal varia… Show more

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Cited by 29 publications
(44 citation statements)
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“…It has been consistently shown in polar environments that food has a greater impact on invertebrate physiology than temperature (Brockington and Clarke, 2001;Blicher et al, 2010), and can drive multi-decadal scale patterns in growth (Ambrose et al, 2006;Carroll et al, 2009) and recruitment (Skazina et al, 2013;Dayton et al, 2016). Associated with environmental forcing in the Arctic, there is expected to be a shift in the timings and quality of organic matter input to the benthos, from nutrient-rich ice algae to pelagic phytoplankton derived primary productivity (Arrigo and van Dijken, 2015), associated with thinner sea ice (Lange et al, 2019), and the transition to ice free conditions (Grebmeier et al, 2006;Leu et al, 2011;Polyakov et al, 2012a). Arctic phytoplankton assemblages may display resilience to ocean acidification through natural tolerances and intraspecific diversity (Hoppe et al, 2018), but the increasing unpredictability in quality of organic matter input impacts on the tight pelagic-benthic coupling which characterizes the Arctic (Tamelander et al, 2006;Wassmann et al, 2011;Kêdra et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…It has been consistently shown in polar environments that food has a greater impact on invertebrate physiology than temperature (Brockington and Clarke, 2001;Blicher et al, 2010), and can drive multi-decadal scale patterns in growth (Ambrose et al, 2006;Carroll et al, 2009) and recruitment (Skazina et al, 2013;Dayton et al, 2016). Associated with environmental forcing in the Arctic, there is expected to be a shift in the timings and quality of organic matter input to the benthos, from nutrient-rich ice algae to pelagic phytoplankton derived primary productivity (Arrigo and van Dijken, 2015), associated with thinner sea ice (Lange et al, 2019), and the transition to ice free conditions (Grebmeier et al, 2006;Leu et al, 2011;Polyakov et al, 2012a). Arctic phytoplankton assemblages may display resilience to ocean acidification through natural tolerances and intraspecific diversity (Hoppe et al, 2018), but the increasing unpredictability in quality of organic matter input impacts on the tight pelagic-benthic coupling which characterizes the Arctic (Tamelander et al, 2006;Wassmann et al, 2011;Kêdra et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Differences in timing of ice productivity are likely to cause alterations in spring food-web dynamics (e.g., Søreide et al, 2010) as MYI continues to be replaced by FYI in the Arctic. FYI might provide more favorable conditions for algal growth when light penetrates the thinner ice pack early in the season (Macdonald et al, 2015;Lange et al, 2019), but an earlier onset of the ice-associated and pelagic blooms is likely to create a mismatch in carbon source availability and grazer occurrence (Leu et al, 2011;Ji et al, 2013). MYI is considered a potential refuge for Arctic species (e.g., Gradinger et al, 2010;David et al, 2016), with ubiquitous habitats (Lange et al, 2017) and communities (e.g., Hatam et al, 2014Hatam et al, , 2016.…”
Section: Discussionmentioning
confidence: 99%
“…html). The study area is generally dominated by thick MYI, interspersed with patches of thinner FYI (Haas et al, 2006(Haas et al, , 2010Lange et al, 2019). For this study, samples were collected from 14 FYI cores (top: n ¼ 2, mid: n ¼ 2, and bottom: n ¼ 12) and 8 MYI cores (top: n ¼ 2, mid: n ¼ 2, Table 1).…”
Section: Sample Collectionmentioning
confidence: 99%
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“…There are growing needs to upscale sea-ice algal biomass estimations for biogeochemical and primary production model evaluation (Nishi andTabeta, 2005, Cimoli andothers, 2019) and to establish baselines from which to monitor Saroma-ko Lagoon decadal scale changes (Liu and others, 2018). To increase the coverage and upscale observations, development of bio-optical relationships is a way forward from classical sea-ice coring methods for using and validating data from under-ice remote-sensing platforms such as unmanned underwater vehicles (e.g.…”
Section: Introductionmentioning
confidence: 99%