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Broad-scale predictability of carbohydrates and exopolymers in Antarctic and Arctic sea ice

机译:南极和北极海冰中碳水化合物和外聚合物的大规模可预测性

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摘要

Sea ice can contain high concentrations of dissolved organic carbon (DOC), much of which is carbohydrate-rich extracellular polymeric substances (EPS) produced by microalgae and bacteria inhabiting the ice. Here we report the concentrations of dissolved carbohydrates (dCHO) and dissolved EPS (dEPS) in relation to algal standing stock [estimated by chlorophyll (Chl) a concentrations] in sea ice from six locations in the Southern and Arctic Oceans. Concentrations varied substantially within and between sampling sites, reflecting local ice conditions and biological content. However, combining all data revealed robust statistical relationships between dCHO concentrations and the concentrations of different dEPS fractions, Chl a, and DOC. These relationships were true for whole ice cores, bottom ice (biomass rich) sections, and colder surface ice. The distribution of dEPS was strongly correlated to algal biomass, with the highest concentrations of both dEPS and non-EPS carbohydrates in the bottom horizons of the ice. Complex EPS was more prevalent in colder surface sea ice horizons. Predictive models (validated against independent data) were derived to enable the estimation of dCHO concentrations from data on ice thickness, salinity, and vertical position in core. When Chl a data were included a higher level of prediction was obtained. The consistent patterns reflected in these relationships provide a strong basis for including estimates of regional and seasonal carbohydrate and dEPS carbon budgets in coupled physical- biogeochemical models, across different types of sea ice from both polar regions.
机译:海冰中可能含有高浓度的溶解有机碳(DOC),其中大部分是微藻类和栖息在冰中的细菌产生的富含碳水化合物的细胞外聚合物(EPS)。在这里,我们报告了来自南极和北冰洋六个位置的海冰中海藻存量[通过叶绿素(Chl)a浓度估算]相对于海藻立足量的溶解碳水化合物(dCHO)和溶解EPS(dEPS)的浓度。采样点内和采样点之间的浓度变化很大,反映了当地的冰况和生物含量。然而,结合所有数据揭示了dCHO浓度与不同dEPS馏分,Chl和DOC的浓度之间的稳健统计关系。这些关系对于整个冰芯,底部冰块(富含生物质)和较冷的表面冰块都是正确的。 dEPS的分布与藻类生物量密切相关,在冰底视界中dEPS和非EPS碳水化合物的浓度最高。在较冷的表层海冰层中,复杂的EPS更为普遍。推导了预测模型(针对独立数据进行了验证),以能够根据冰厚,盐度和岩心的垂直位置数据估算dCHO浓度。当包含Ch1数据时,获得了更高水平的预测。这些关系中反映出的一致模式为在两个极地地区不同类型的海冰之间的物理-生物地球化学耦合模型中包括区域和季节性碳水化合物和dEPS碳预算的估算提供了坚实的基础。

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