A three-component model of phytoplankton size class for the Atlantic Ocean

被引:259
作者
Brewin, Robert J. W. [1 ]
Sathyendranath, Shubha [2 ]
Hirata, Takafumi [2 ,3 ]
Lavender, Samantha J. [1 ,4 ]
Barciela, Rosa M. [5 ]
Hardman-Mountford, Nick J. [2 ,3 ]
机构
[1] Univ Plymouth, Sch Marine Sci & Engn, Plymouth PL4 8AA, Devon, England
[2] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England
[3] Natl Ctr Earth Observat, PML, Plymouth PL1 3DH, Devon, England
[4] ARGANS Ltd, Plymouth PL6 8BY, Devon, England
[5] Met Off, Exeter EX1 3PB, Devon, England
基金
美国国家航空航天局;
关键词
Phytoplankton; Pigment; Size; Ocean colour; Remote sensing; Chlorophyll-a; SeaWiFS; COMMUNITY STRUCTURE; ECOSYSTEM DYNAMICS; PELAGIC ECOSYSTEM; DATA ASSIMILATION; LIGHT-ABSORPTION; FUNCTIONAL TYPES; IN-SITU; SEA; VARIABILITY; PLANKTON;
D O I
10.1016/j.ecolmodel.2010.02.014
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A three-component model was developed which calculates the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) to the overall chlorophyll-a concentration in the Atlantic Ocean. The model is an extension of the Sathyendranath et al. (2001) approach, based on the assumption that small cells dominate at low chlorophyll-a concentrations and large cells at high chlorophyll-a concentrations. Diagnostic pigments were used to infer cell size using an established technique adapted to account for small picoeukaroytes in ultra-oligotrophic environments. Atlantic Meridional Transect (AMT) pigment data taken between 1997 and 2004 were split into two datasets; 1935 measurements were used to parameterise the model, and a further 241 surface measurements, spatially and temporally matched to chlorophyll-a derived from SeaWiFS satellite data, were set aside to validate the model. Comparison with an independent global pigment dataset (256 measurements) also supports the broader-scale application of the model. The effect of optical depth on the model parameters was also investigated and explicitly incorporated into the model. It is envisaged that future applications would include validating multi-plankton biogeochemical models and improving primary-production estimates by accounting for community composition. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1472 / 1483
页数:12
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