FN Archimer Export Format
PT J
TI How Can Phytoplankton Pigments Be Best Used to Characterize Surface Ocean Phytoplankton Groups for Ocean Color Remote Sensing Algorithms?
BT 
AF KRAMER, Sasha J.
   SIEGEL, David A.
AS 1:1,2;2:2,3;
FF 1:;2:;
C1 Interdepartmental Graduate Program in Marine Science, University of California, Santa Barbara, CA, USA
   Earth Research Institute, University of California, Santa Barbara, CA, USA
   Department of Geography, University of California, Santa Barbara, CA, USA
C2 UNIV CALIF SANTA BARBARA, USA
   UNIV CALIF SANTA BARBARA, USA
   UNIV CALIF SANTA BARBARA, USA
IF 3.559
TC 50
UR https://archimer.ifremer.fr/doc/00858/96970/105651.pdf
LA English
DT Article
CR BOUSSOLE
DE ;phytoplankton;HPLC pigments;remote sensing
AB High-performance liquid chromatography (HPLC) remains one of the most widely applied methods for estimation of phytoplankton community structure from ocean samples, which are used to create and validate satellite retrievals of phytoplankton community structure. HPLC measures the concentrations of phytoplankton pigments, some of which are useful chemotaxonomic markers for phytoplankton groups. Here, consistent suites of HPLC phytoplankton pigments measured on global surface water samples are compiled across spatial scales. The global dataset includes >4,000 samples from every major ocean basin and representing a wide range of ecological regimes. The local dataset is composed of six time series from long-term observatory sites. These samples are used to quantify the potential and limitations of HPLC for understanding surface ocean phytoplankton groups. Hierarchical cluster and empirical orthogonal function analyses are used to examine the associations between and among groups of phytoplankton pigments and to diagnose the main controls on these associations. These methods identify four major groups of phytoplankton on global scales (cyanobacteria, diatoms/dinoflagellates, haptophytes, and green algae) that can be identified by diagnostic biomarker pigments. On local scales, the same methods identify more and different taxonomic groups of phytoplankton than are detectable in the global dataset. Notably, diatom and dinoflagellate pigments group together on global scales, but dinoflagellate marker pigments always separate from diatoms on local scales. Together, these results confirm that HPLC pigments can be used for satellite algorithm quantification of no more than four phytoplankton groups on global scales, but can provide higher resolution for local-scale algorithm development and validation. 
PY 2019
PD NOV
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU Amer Geophysical Union
VL 124
IS 11
UT 000495553400001
BP 7557
EP 7574
DI 10.1029/2019JC015604
ID 96970
ER

EF