Specific eukaryotic plankton are good predictors of net community production in the Western Antarctic Peninsula

Type Article
Date 2017-11
Language English
Author(s) Lin Yajuan1, 4, Cassar Nicolas1, 4, Marchetti Adrian2, Moreno Carly2, Ducklow Hugh3, Li Zuchuan1
Affiliation(s) 1 : Duke Univ, Nicholas Sch Environm, Div Earth & Ocean Sci, Durham, NC 27708 USA.
2 : Univ North Carolina Chapel Hill, Dept Marine Sci, Chapel Hill, NC 27514 USA.
3 : Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
4 : Univ Brest, UMR CNRS UBO IRD Ifremer 6539, Lab Sci Environm Marin IUEM, Rue Dumont DUrville, F-29280 Plouzane, France.
Source Scientific Reports (2045-2322) (Nature Publishing Group), 2017-11 , Vol. 7 , N. 14845 , P. 1-11
DOI 10.1038/s41598-017-14109-1
WOS© Times Cited 20
Abstract

Despite our current realization of the tremendous diversity that exists in plankton communities, we have little understanding of how this biodiversity influences the biological carbon pump other than broad paradigms such as diatoms contributing disproportionally to carbon export. Here we combine high-resolution underway O-2/Ar, which provides an estimate of net community production, with high-throughput 18 S ribosomal DNA sequencing to elucidate the relationship between eukaryotic plankton community structure and carbon export potential at the Western Antarctica Peninsula (WAP), a region which has experienced rapid warming and ecosystem changes. Our results show that in a diverse plankton system comprised of similar to 464 operational taxonomic units (OTUs) with at least 97% 18 S identity, as few as two or three key OTUs, i.e. large diatoms, Phaeocystis, and mixotrophic/phagotrophic dinoflagellates, can explain a large majority of the spatial variability in the carbon export potential (76-92%). Moreover, we find based on a community co-occurrence network analysis that ecosystems with lower export potential have more tightly coupled communities. Our results indicate that defining plankton communities at a deeper taxonomic resolution than by functional groups and accounting for the differences in size and coupling between groups can substantially improve organic carbon flux predictions.

Full Text
File Pages Size Access
Publisher's official version 11 2 MB Open access
Supplementary Figures and Tables 12 1 MB Open access
Supplementary Table S6 27 KB Open access
Top of the page