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Ice algal bloom development on the surface of the Greenland Ice Sheet

It is fundamental to understand the development of Zygnematophycean (Streptophyte) micro-algal blooms within Greenland Ice Sheet (GrIS) supraglacial environments, given their potential to significantly impact both physical (melt) and chemical (carbon and nutrient cycling) surface characteristics. He...

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Detalles Bibliográficos
Autores principales: Williamson, C J, Anesio, A M, Cook, J, Tedstone, A, Poniecka, E, Holland, A, Fagan, D, Tranter, M, Yallop, M L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018781/
https://www.ncbi.nlm.nih.gov/pubmed/29444265
http://dx.doi.org/10.1093/femsec/fiy025
Descripción
Sumario:It is fundamental to understand the development of Zygnematophycean (Streptophyte) micro-algal blooms within Greenland Ice Sheet (GrIS) supraglacial environments, given their potential to significantly impact both physical (melt) and chemical (carbon and nutrient cycling) surface characteristics. Here, we report on a space-for-time assessment of a GrIS ice algal bloom, achieved by sampling an ∼85 km transect spanning the south-western GrIS bare ice zone during the 2016 ablation season. Cell abundances ranged from 0 to 1.6 × 10(4) cells ml(−1), with algal biomass demonstrated to increase in surface ice with time since snow line retreat (R(2) = 0.73, P < 0.05). A suite of light harvesting and photo-protective pigments were quantified across transects (chlorophylls, carotenoids and phenols) and shown to increase in concert with algal biomass. Ice algal communities drove net autotrophy of surface ice, with maximal rates of net production averaging 0.52 ± 0.04 mg C l(−1) d(−1), and a total accumulation of 1.306 Gg C (15.82 ± 8.14 kg C km(−2)) predicted for the 2016 ablation season across an 8.24 × 10(4) km(2) region of the GrIS. By advancing our understanding of ice algal bloom development, this study marks an important step toward projecting bloom occurrence and impacts into the future.