共 50 条
Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale
被引:2
|作者:
Smyth, Timothy
[1
]
Moffat, David
[1
]
Tarran, Glen
[1
]
Sathyendranath, Shubha
[1
]
Ribalet, Francois
[2
]
Casey, John
[3
,4
]
机构:
[1] Plymouth Marine Lab, Prospect Pl, Plymouth, England
[2] Univ Washington, Ctr Environm Genom, Sch Oceanog, Seattle, WA USA
[3] Univ Hawaii, Daniel K Inouye Ctr Microbial Oceanog, Sch Ocean & Earth Sci & Technol, Honolulu, HI USA
[4] Lawrence Livermore Natl Lab, Biosci & Biotechnol Div, Livermore, CA USA
基金:
英国自然环境研究理事会;
关键词:
flow cytometry;
carbon;
chlorophyll;
machine learning;
random forests;
Atlantic Ocean;
phytoplankton;
physiology;
REFRACTIVE-INDEX;
PROCHLOROCOCCUS ECOTYPES;
DIEL VARIATIONS;
ARABIAN SEA;
GROWTH-RATE;
OCEAN;
SIZE;
LIGHT;
SYNECHOCOCCUS;
PICOPLANKTON;
D O I:
10.3389/fmars.2023.1191216
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
We demonstrate the ability of flow cytometry to determine species specific cellular carbon and chlorophyll content in vivo by using laboratory cultures of phytoplankton encompassing a wide range of cell sizes. When applied to the large Atlantic Meridional Transect flow cytometry dataset, we reveal patterns in the species-specific phytoplankton carbon (C), chlorophyll (Chl) and C:Chl ratio. For Prochlorococcus the range of C:Chl is between 2 - 604; for Synechococcus 0.5 - 558. Using a Random Forest machine learning approach, we show that predictability of phytoplankton C:Chl, dominated by the prevalence of Prochlorococcus, is largely driven by silicate and nitrite concentration in the Atlantic Ocean.
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页数:14
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