Articles | Volume 12, issue 7
https://doi.org/10.5194/bg-12-2179-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-2179-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Apr 2015
Research article |
| 14 Apr 2015
A simple optical index shows spatial and temporal heterogeneity in phytoplankton community composition during the 2008 North Atlantic Bloom Experiment
Ira C. Darling Marine Center, School of Marine Sciences, University of Maine, Walpole, Maine, USA
M. J. Perry
Ira C. Darling Marine Center, School of Marine Sciences, University of Maine, Walpole, Maine, USA
E. D'Asaro
Applied Physics Laboratory and School of Oceanography, University of Washington, Seattle, Washington, USA
N. Briggs
Ira C. Darling Marine Center, School of Marine Sciences, University of Maine, Walpole, Maine, USA
N. Poulton
Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, USA
M. E. Sieracki
Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, USA
now at: National Science Foundation, Arlington, VA, USA
C. M. Lee
Applied Physics Laboratory and School of Oceanography, University of Washington, Seattle, Washington, USA
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As commonly observed in oligotrophic stratified waters, a subsurface (or deep) chlorophyll maximum (SCM) frequently characterizes the vertical distribution of phytoplankton chlorophyll in the Mediterranean Sea. SCMs often result from photoacclimation of the phytoplankton organisms. However they can also result from an actual increase in phytoplankton carbon biomass. Our results also suggest that a variety of intermediate types of SCMs are encountered between these two endmember situations.
Hannah L. Bourne, James K. B. Bishop, Todd J. Wood, Timothy J. Loew, and Yizhuang Liu
Biogeosciences, 16, 1249–1264, https://doi.org/10.5194/bg-16-1249-2019, https://doi.org/10.5194/bg-16-1249-2019, 2019
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The biological carbon pump, the process by which carbon-laden particles sink out of the surface ocean, is dynamic and fast. The use of autonomous observations will better inform carbon export simulations. The Carbon Flux Explorer (CFE) was developed to optically measure hourly variations of particle flux. We calibrate the optical measurements of the CFE against C and N flux using samples collected during a coastal California cruise in June 2017. Our results yield well-correlated calibrations.
Hailong Zhang, Shengqiang Wang, Zhongfeng Qiu, Deyong Sun, Joji Ishizaka, Shaojie Sun, and Yijun He
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The PSC model was re-tuned for regional application in the East China Sea, and successfully applied to MODIS data. We investigated previously unknown temporal–spatial patterns of the PSC in the ECS and analyzed their responses to environmental factors. The results show the PSC varied across both spatial and temporal scales, and was probably affected by the water column stability, upwelling, and Kuroshio. In addition, human activity and riverine discharge may impact the PSC dynamics.
Ishan D. Joshi and Eurico J. D'Sa
Biogeosciences, 15, 4065–4086, https://doi.org/10.5194/bg-15-4065-2018, https://doi.org/10.5194/bg-15-4065-2018, 2018
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The standard quasi-analytical algorithm (QAA) was tuned for various ocean color sensors as QAA-V and optimized for and evaluated in a variety of waters from highly absorbing and turbid to relatively clear shelf waters. The QAA-V-derived optical properties of total absorption and backscattering coefficients showed an obvious improvement when compared to the standard QAA and were used to examine suspended particulate matter dynamics in Galveston Bay following flooding due to Hurricane Harvey.
Yasmina Loozen, Karin T. Rebel, Derek Karssenberg, Martin J. Wassen, Jordi Sardans, Josep Peñuelas, and Steven M. De Jong
Biogeosciences, 15, 2723–2742, https://doi.org/10.5194/bg-15-2723-2018, https://doi.org/10.5194/bg-15-2723-2018, 2018
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Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it using satellite data. The goal was to investigate if it is possible to remotely sense the canopy nitrogen concentration and content of Mediterranean trees using a product calculated from satellite reflectance data, the MERIS Terrestrial Chlorophyll Index (MTCI). The tree plots were located in Catalonia, NE Spain. The relationship between MTCI and canopy N was present but dependent on the type of trees.
Stephanie Dutkiewicz, Anna E. Hickman, and Oliver Jahn
Biogeosciences, 15, 613–630, https://doi.org/10.5194/bg-15-613-2018, https://doi.org/10.5194/bg-15-613-2018, 2018
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This study provides a demonstration that a biogeochemical/ecosystem/optical computer model which explicitly captures how light is radiated at the surface of the ocean and can be used as a laboratory to explore products (such as Chl a) that are derived from satellite measurements of ocean colour. It explores uncertainties that arise from data input used to derive the algorithms for the products, and issues arising from the interplay between optically important constituents in the ocean.
Gholamreza Mohammadpour, Jean-Pierre Gagné, Pierre Larouche, and Martin A. Montes-Hugo
Biogeosciences, 14, 5297–5312, https://doi.org/10.5194/bg-14-5297-2017, https://doi.org/10.5194/bg-14-5297-2017, 2017
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The mass-specific absorption coefficients of total suspended particulate matter (aSPM*) had relatively low (high) values in areas of of the St. Lawrence Estuary influenced by marine (freshwater) waters and dominated by large-sized (small-sized) and organic-rich (mineral-rich) particulates.
The inorganic content of particulates was correlated with size-fractionated aSPM* values at a wavelength of 440 nm and the spectral slope of aSPM* as computed within the spectral range 400–710 nm.
Albert-Miquel Sánchez and Jaume Piera
Biogeosciences, 13, 4081–4098, https://doi.org/10.5194/bg-13-4081-2016, https://doi.org/10.5194/bg-13-4081-2016, 2016
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In this paper, several methods for the retrieval of the refractive indices are used in three different examples modeling different shapes and particle size distributions. The error associated with each method is discussed and analyzed. It is finally demonstrated that those inverse methods using a genetic algorithm provide optimal estimations relative to other techniques that, although faster, are less accurate.
Luisa Galgani and Anja Engel
Biogeosciences, 13, 2453–2473, https://doi.org/10.5194/bg-13-2453-2016, https://doi.org/10.5194/bg-13-2453-2016, 2016
G. E. Kim, M.-A. Pradal, and A. Gnanadesikan
Biogeosciences, 12, 5119–5132, https://doi.org/10.5194/bg-12-5119-2015, https://doi.org/10.5194/bg-12-5119-2015, 2015
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Light absorption by colored detrital material (CDM) was included in a fully coupled Earth system model. Chlorophyll and biomass increased near the surface but decreased at greater depths when CDM was included. Concurrently, total biomass decreased leaving more nutrients in the water. Regional changes were analyzed by comparing the competing factors of diminished light availability and increased nutrient availability on phytoplankton growth.
J. A. Gamon, O. Kovalchuck, C. Y. S. Wong, A. Harris, and S. R. Garrity
Biogeosciences, 12, 4149–4159, https://doi.org/10.5194/bg-12-4149-2015, https://doi.org/10.5194/bg-12-4149-2015, 2015
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NDVI and PRI sensors (SRS, Decagon Inc.) exhibited complementary responses during spring photosynthetic activation in evergreen and deciduous stands. In evergreens, PRI was most strongly influenced by changing chlorophyll:carotenoid pool sizes over the several weeks of the study, while it was most affected by xanthophyll cycle pigment activity at the diurnal timescale. These automated PRI and NDVI sensors offer new ways to explore environmental and physiological constraints on photosynthesis.
M. Grenier, A. Della Penna, and T. W. Trull
Biogeosciences, 12, 2707–2735, https://doi.org/10.5194/bg-12-2707-2015, https://doi.org/10.5194/bg-12-2707-2015, 2015
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Four bio-profilers were deployed in the high-biomass plume downstream of the Kerguelen Plateau (KP; Southern Ocean) to examine the conditions favouring phytoplankton accumulation. Regions of very high Chla accumulation were mainly associated with surface waters from the northern KP. Light limitation seems to have a limited influence on production. A cyclonic eddy was associated with a significant export of organic matter and a subsequent dissolved inorganic carbon storage in the ocean interior.
B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 2014
M. Kahru and R. Elmgren
Biogeosciences, 11, 3619–3633, https://doi.org/10.5194/bg-11-3619-2014, https://doi.org/10.5194/bg-11-3619-2014, 2014
E. J. D'Sa, J. I. Goes, H. Gomes, and C. Mouw
Biogeosciences, 11, 3225–3244, https://doi.org/10.5194/bg-11-3225-2014, https://doi.org/10.5194/bg-11-3225-2014, 2014
A. Matsuoka, M. Babin, D. Doxaran, S. B. Hooker, B. G. Mitchell, S. Bélanger, and A. Bricaud
Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, https://doi.org/10.5194/bg-11-3131-2014, 2014
S. Q. Wang, J. Ishizaka, H. Yamaguchi, S. C. Tripathy, M. Hayashi, Y. J. Xu, Y. Mino, T. Matsuno, Y. Watanabe, and S. J. Yoo
Biogeosciences, 11, 1759–1773, https://doi.org/10.5194/bg-11-1759-2014, https://doi.org/10.5194/bg-11-1759-2014, 2014
S. L. Shang, Q. Dong, C. M. Hu, G. Lin, Y. H. Li, and S. P. Shang
Biogeosciences, 11, 269–280, https://doi.org/10.5194/bg-11-269-2014, https://doi.org/10.5194/bg-11-269-2014, 2014
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
S. Bélanger, S. A. Cizmeli, J. Ehn, A. Matsuoka, D. Doxaran, S. Hooker, and M. Babin
Biogeosciences, 10, 6433–6452, https://doi.org/10.5194/bg-10-6433-2013, https://doi.org/10.5194/bg-10-6433-2013, 2013
X. Zhang, Y. Huot, D. J. Gray, A. Weidemann, and W. J. Rhea
Biogeosciences, 10, 6029–6043, https://doi.org/10.5194/bg-10-6029-2013, https://doi.org/10.5194/bg-10-6029-2013, 2013
D. Antoine, S. B. Hooker, S. Bélanger, A. Matsuoka, and M. Babin
Biogeosciences, 10, 4493–4509, https://doi.org/10.5194/bg-10-4493-2013, https://doi.org/10.5194/bg-10-4493-2013, 2013
S. B. Hooker, J. H. Morrow, and A. Matsuoka
Biogeosciences, 10, 4511–4527, https://doi.org/10.5194/bg-10-4511-2013, https://doi.org/10.5194/bg-10-4511-2013, 2013
S. Bélanger, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 4087–4101, https://doi.org/10.5194/bg-10-4087-2013, https://doi.org/10.5194/bg-10-4087-2013, 2013
A. Matsuoka, S. B. Hooker, A. Bricaud, B. Gentili, and M. Babin
Biogeosciences, 10, 917–927, https://doi.org/10.5194/bg-10-917-2013, https://doi.org/10.5194/bg-10-917-2013, 2013
S. Takao, T. Hirawake, S. W. Wright, and K. Suzuki
Biogeosciences, 9, 3875–3890, https://doi.org/10.5194/bg-9-3875-2012, https://doi.org/10.5194/bg-9-3875-2012, 2012
R. Röttgers and B. P. Koch
Biogeosciences, 9, 2585–2596, https://doi.org/10.5194/bg-9-2585-2012, https://doi.org/10.5194/bg-9-2585-2012, 2012
A. Sadeghi, T. Dinter, M. Vountas, B. Taylor, M. Altenburg-Soppa, and A. Bracher
Biogeosciences, 9, 2127–2143, https://doi.org/10.5194/bg-9-2127-2012, https://doi.org/10.5194/bg-9-2127-2012, 2012
A. Matsuoka, A. Bricaud, R. Benner, J. Para, R. Sempéré, L. Prieur, S. Bélanger, and M. Babin
Biogeosciences, 9, 925–940, https://doi.org/10.5194/bg-9-925-2012, https://doi.org/10.5194/bg-9-925-2012, 2012
B. B. Taylor, E. Torrecilla, A. Bernhardt, M. H. Taylor, I. Peeken, R. Röttgers, J. Piera, and A. Bracher
Biogeosciences, 8, 3609–3629, https://doi.org/10.5194/bg-8-3609-2011, https://doi.org/10.5194/bg-8-3609-2011, 2011
G. Dall'Olmo, E. Boss, M. J. Behrenfeld, T. K. Westberry, C. Courties, L. Prieur, M. Pujo-Pay, N. Hardman-Mountford, and T. Moutin
Biogeosciences, 8, 3423–3439, https://doi.org/10.5194/bg-8-3423-2011, https://doi.org/10.5194/bg-8-3423-2011, 2011
H. Loisel, V. Vantrepotte, K. Norkvist, X. Mériaux, M. Kheireddine, J. Ras, M. Pujo-Pay, Y. Combet, K. Leblanc, G. Dall'Olmo, R. Mauriac, D. Dessailly, and T. Moutin
Biogeosciences, 8, 3295–3317, https://doi.org/10.5194/bg-8-3295-2011, https://doi.org/10.5194/bg-8-3295-2011, 2011
S. Shang, Q. Dong, Z. Lee, Y. Li, Y. Xie, and M. Behrenfeld
Biogeosciences, 8, 841–850, https://doi.org/10.5194/bg-8-841-2011, https://doi.org/10.5194/bg-8-841-2011, 2011
T. S. Kostadinov, D. A. Siegel, and S. Maritorena
Biogeosciences, 7, 3239–3257, https://doi.org/10.5194/bg-7-3239-2010, https://doi.org/10.5194/bg-7-3239-2010, 2010
F. Nencioli, G. Chang, M. Twardowski, and T. D. Dickey
Biogeosciences, 7, 151–162, https://doi.org/10.5194/bg-7-151-2010, https://doi.org/10.5194/bg-7-151-2010, 2010
A. Morel and B. Gentili
Biogeosciences, 6, 2625–2636, https://doi.org/10.5194/bg-6-2625-2009, https://doi.org/10.5194/bg-6-2625-2009, 2009
Cited articles
Alkire, M. B., D'Asaro, E., Lee, C., Perry, M. J., Gray, A., Cetinic, I., Briggs, N., Rehm, E., Kallin, E., Kaiser, J., and Gonzalez-Posada, A.: Estimates of net community production and export using high-resolution, Lagrangian measurements of O2, NO3-, and POC through the evolution of a spring diatom bloom in the North Atlantic, Deep-Sea Res. Pt. I, 64, 157–174, 2012.
Behrenfeld, M. J., Boss, E., Siegel, D. A., and Shea, D. M.: Carbon-based ocean productivity and phytoplankton physiology from space, Global Biogeochem. Cy., 19, GB1006, https://doi.org/10.1029/2004GB002299, 2005.
Boss, E. and Behrenfeld, M.: In situ evaluation of the initiation of the North Atlantic phytoplankton bloom, Geophys. Res. Lett., 37, L18603, https://doi.org/10.1029/2010gl044174, 2010.
Bricaud, A., Babin, M., Morel, A., and Claustre, H.: Variability in the Chlorophyll-Specific Absorption-Coefficients of Natural Phytoplankton – Analysis and Parameterization, J. Geophys. Res.-Oc., 100, 13321–13332, 1995.
Briggs, N.: Backscatter_Calibration-NAB08, Biol. and Chem. Oceanogr. Data Manage. Office, Woods Hole, Mass., 2011.
Briggs, N., Perry, M. J., Cetinic, I., Lee, C., D'Asaro, E., Gray, A., and Rehm, E.: High-resolution observations of aggregate flux during a sub-polar North Atlantic spring bloom, Deep-Sea Res. Pt. I, 58, 1031–1039, 2011.
Bucciarelli, E., and Sunda, W. G.: Influence of CO2, nitrate, phosphate, and silicate limitation on intracellular dimethylsulfoniopropionate in batch cultures of the coastal diatom Thalassiosira pseudonana, Limnol. Oceanogr., 48, 2256–2265, 2003.
Burger, W. and Burge, M. J.: Digital image processing: an algorithmic introduction using Java, Springer, New York, 2008.
Campbell, L., Henrichs, D. W., Olson, R. J., and Sosik, H. M.: Continuous automated imaging-in-flow cytometry for detection and early warning of Karenia brevis blooms in the Gulf of Mexico, Environ. Sci. Pollut. Res., 20, 6896–6902, 2013.
Cetinić, I., Perry, M. J., Briggs, N. T., Kallin, E., D'Asaro, E. A., and Lee, C. M.: Particulate organic carbon and inherent optical properties during 2008 North Atlantic Bloom Experiment, J. Geophys. Res., 117, C06028, https://doi.org/10.1029/2011jc007771, 2012.
Chang, F., Chen, C. J., and Lu, C. J.: A linear-time component-labeling algorithm using contour tracing technique, Comput. Vis. Image Understand., 93, 206–220, 2004.
Cleveland, J. and Perry, M.: Quantum yield, relative specific absorption and fluorescence in nitrogen-limited Chaetoceros gracilis, Mar. Biol., 94, 489–497, 1987.
D'Asaro, E.: Chlorophyll_Calibration-NAB08, Biol. and Chem. Oceanogr. Data Manage. Office, Woods Hole, Mass. , 2011.
D'Asaro, E. A.: Performance of autonomous Lagrangian floats, J. Atmos. Oc. Technol., 20, 896–911, 2003.
Denman, K. L. and Platt, T.: The variance spectrum of phytoplankton in a turbulent ocean, J. Mar. Res, 34, 593–601, 1976.
d'Ovidio, F., De Monte, S., Alvain, S., Dandonneau, Y., and Lévy, M.: Fluid dynamical niches of phytoplankton types, Proc. Natl. Acad. Sci., 107, 18366–18370, 2010.
Ducklow, H. W. and Harris, R. P.: Introduction to the JGOFS North Atlantic bloom experiment, Deep-Sea Res. Pt. II, 40, 1–8, 1993.
Egge, J. K. and Aksnes, D. L.: Silicate as Regulating Nutrient in Phytoplankton Competition, Mar. Ecol.-Prog. Ser., 83, 281–289, 1992.
Eriksen, C. C., Osse, T. J., Light, R. D., Wen, T., Lehman, T. W., Sabin, P. L., Ballard, J. W., and Chiodi, A. M.: Seaglider: a long-range autonomous underwater vehicle for oceanographic research, Oceanic Engineering, IEEE J. Oc. Engin., 26, 424–436, 2001.
Fujiki, T. and Taguchi, S.: Variability in chlorophyll a specific absorption coefficient in marine phytoplankton as a function of cell size and irradiance, J. Plankton Res., 24, 859–874, 2002.
Geider, R. J.: Light and temperature-dependence of the carbon to chlorophyll-a ratio in microalgae and cyanobacteria – implications for physiology and growth of phytoplankton, New Phytol., 106, 1–34, 1987.
Gordon, L. I., Joe C. Jennings, J., Ross, A. A., and Krest, J. M.: A suggested protocol for continuous flow automated analysis of seawater nutrients (Phosphate, Nitrate, Nitrite and Silicic Acid) in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study. 92-1, 1992.
Head, E. J. H. and Horne, E. P. W.: Pigment Transformation and Vertical Flux in an Area of Convergence in the North-Atlantic, Deep-Sea Res. Pt. II., 40, 329–346, 1993.
Hooker, S. B., Heukelem, L. V., Thomas, C. S., Claustre, H., Ras, J., Schlüter, L., Clementson, L., van der Linde, D., Eker-Develi, E., Berthon, J.-F., Barlow, R., Sessions, H., Ismail, H., and Perl, J.: The Third SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-3), National Aeronautics and Space Administration, Goddard, 2009.
IOC: First IODE Workshop on Quality Control of Chemical Oceanographic Data Collections, UNESCO, Paris, 2010.
Jeffrey, S. W.: Algal pigment systems, in: Primary productivity in the sea, edited by: Falkowski, P. G., Plenum Publishing Corporation, New York, 33–57, 1980.
Jeffrey, S. W. and Hallegraeff, G. M.: Chlorophyllase Distribution in 10 Classes of Phytoplankton – a Problem for Chlorophyll Analysis, Mar. Ecol.-Prog. Ser., 35, 293–304, 1987.
Kallin, E., Cetinic, I., Perry, M. J., and Sauer, M.: Laboratory_analysis_report-NAB08, Biol. and Chem. Oceanogr. Data Manage. Office, Woods Hole, Mass., 2011.
Kishino, M., Takahashi, M., Okami, N., and Ichimura, S.: Estimation of the spectral absorption coefficients of phytoplankton in the sea, Bull. Mar. Sci., 37, 634–642, 1985.
Knap, A., Michaels, A., Close, A., Ducklow, H., and Dickson, A.: Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements. JGOFS Report N. 19, vi + 170 pp. Reprint of the 10C Manuals and Guides No 29, UNESCO 1994, 1996.
Kruskopf, M. and Flynn, K. J.: Chlorophyll content and fluorescence responses cannot be used to gauge reliably phytoplankton biomass, nutrient status or growth rate, New Phytol., 169, 525-536, 10.1111/j.1469-8137.2005.01601.x, 2006.
Lachat, I.: Silicate in brackish or seawater – QuickChem Method 31-114-27-1-B, Lachat Instruments, Milwaukee, WI, 1996.
Lachat, I.: Nitrate and/or nitrite in brackish or seawater – QuickChem Method 31-107-04-1-A, Lachat Instruments, Milwaukee, WI, 1999.
Letelier, R. M., Karl, D. M., Abbott, M. R., and Bidigare, R. R.: Light driven seasonal patterns of chlorophyll and nitrate in the lower euphotic zone of the North Pacific Subtropical Gyre, Limnol. Oceanogr., 49, 508–519, 2004.
Levy, M., R. Ferrari, P. J.S. Franks, A. P. Martin, and Rivière, P.: Bringing physics to life at the submesoscale, Geophys. Res. Lett., 39, L14602, https://doi.org/10.1029/2012GL052756, 2012.
Li, Q. P., Franks, P. J., Landry, M. R., Goericke, R., and Taylor, A. G.: Modeling phytoplankton growth rates and chlorophyll to carbon ratios in California coastal and pelagic ecosystems, J. Geophys. Res. Biogeosci., (2005–2012), 115, 2156–2202, 2010.
Lippemeier, S., Hartig, P., and Colijn, F.: Direct impact of silicate on the photosynthetic performance of the diatom Thalassiosira weissflogii assessed by on- and off-line PAM fluorescence measurements, J. Plank. Res., 21, 269–283, 1999.
Llewellyn, C. A., Fishwick, J. R., and Blackford, J. C.: Phytoplankton community assemblage in the English Channel: a comparison using chlorophyll a derived from HPLC-CHEMTAX and carbon derived from microscopy cell counts, J. Plank. Res., 27, 103–119, 2005.
Llewellyn, C. A., Tarran, G. A., Galliene, C. P., Cummings, D. G., De Menezes, A., Rees, A. P., Dixon, J. L., Widdicombe, C. E., Fileman, E. S., and Wilson, W. H.: Microbial dynamics during the decline of a spring diatom bloom in the Northeast Atlantic, J. Plank. Res., 30, 261–273, 2008.
Llewellyn, C. A. and Airs, R. L.: Distribution and abundance of MAAs in 33 species of microalgae across 13 classes, Mar. Drugs, 8, 1273–1291, 2010.
Loisel, H., Vantrepotte, V., Norkvist, K., Meriaux, X., Kheireddine, M., Ras, J., Pujo-Pay, M., Combet, Y., Leblanc, K., Dall'Olmo, G., Mauriac, R., Dessailly, D., and Moutin, T.: Characterization of the bio-optical anomaly and diurnal variability of particulate matter, as seen from scattering and backscattering coefficients, in ultra-oligotrophic eddies of the Mediterranean Sea, Biogeosciences, 8, 3295–3317, https://doi.org/10.5194/bg-8-3295-2011, 2011.
Lorenzen, C. J.: A method for the continuous measurement of the in vivo chlorophyll concentration, Deep-Sea Res., 13, 223–227, 1966.
Lorenzen, C. J.: Determination of chlorophyll and pheo-pigments: spectrophotometric equations, Limnol. Oceanogr., 12, 343–346, 1967.
Mahadevan, A., D'Asaro, E., Lee, C., and Perry, M. J.: Eddy-Driven Stratification Initiates North Atlantic Spring Phytoplankton Blooms, Science, 337, 54–58, 2012.
Marra, J.: Analysis of diel variability in chlorophyll fluorescence, J. Mar. Res., 55, 767–784, 1997.
Martin-Jezequel, V., Hildebrand, M., and Brzezinski, M. A.: Silicon metabolism in diatoms: Implications for growth, J. Phycol., 36, 821–840, 2000.
Matrai, P. A., Steele, M., Swift, D., Riser, S., Johnson, K. S., and Breckenridge, L.: Autonomous observations of arctic phytoplankton activity: The first annual cycle in ice-covered waters, International Ocean Colour Science Meeting 2013, Darmstadt, Germany, 2013.
Menden-Deuer, S. and Lessard, E. J.: Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton, Limnol. Oceanogr., 45, 569–579, 2000.
Mitchell, B. G. and Kiefer, D. A.: Chlorophyll a specific absorption and fluorescence excitation spectra for light-limited phytoplankton, Deep-Sea Res. Pt. 1, 35, 639–663, 1988.
Moisan, T. A., Sathyendranath, S., and Bouman, H. A.: Ocean color remote sensing of phytoplankton functional types, Remote sensing of biomass–principles and applications. Intech, Rijeka, Croatia, 101–122, 2012.
Moore, C. M., Lucas, M. I., Sanders, R., and Davidson, R.: Basin-scale variability of phytoplankton bio-optical characteristics in relation to bloom state and community structure in the Northeast Atlantic, Deep-Sea Res. Pt. I, 52, 401–419, 2005.
Munk, W.: Oceanography before, and after, the advent of satellites, Elsev. Oceanogr. Ser., 63, 1–4, 2000.
Nencioli, F., Chang, G., Twardowski, M., and Dickey, T. D.: Optical Characterization of an Eddy-induced Diatom Bloom West of the Island of Hawaii, Biogeosciences, 7, 151–162, https://doi.org/10.5194/bg-7-151-2010, 2010.
Olson, R. J. and Sosik, H. M.: A submersible imaging-in-flow instrument to analyze nano-and microplankton: Imaging FlowCytobot, Limnol. Oceanogr. Methods, 5, 195–203, 2007.
O'Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K. L., Garver, S. A., Kahru, M., and McClain, C.: Ocean color chlorophyll algorithms for SeaWiFS, J. Geophys. Res.-Oc., 103, 24937–24953, 1998.
Perry, M. J., Sackmann, B. S., Eriksen, C. C., and Lee, C. M.: Seaglider observations of blooms and subsurface chlorophyll maxima off the Washington coast, Limnol. Oceanogr., 53, 2169–2179, 2008.
Putland, J. and Iverson, R.: Phytoplankton biomass in a subtropical estuary: distribution, size composition, and carbon: chlorophyll ratios, Estuar. Coast., 30, 878–885, 2007.
Ridout, P. and Morris, R.: Short-term variations in the pigment composition of a spring phytoplankton bloom from an enclosed experimental ecosystem, Mar. Biol., 87, 7–11, 1985.
Roesler, C. S. and Barnard, A. H.: Optical proxy for phytoplankton biomass in the absence of photophysiology: Rethinking the absorption line height, Method. Oceanogr., 7, 79–94, 2014.
Rose, J. M., Caron, D. A., Sieracki, M. E., and Poulton, N.: Counting heterotrophic nanoplanktonic protists in cultures and aquatic communities by flow cytometry, Aq. Microb. Ecol., 34, 263–277, 2004.
Ryan, J., Greenfield, D., Marin III, R., Preston, C., Roman, B., Jensen, S., Pargett, D., Birch, J., Mikulski, C., and Doucette, G.: Harmful phytoplankton ecology studies using an autonomous molecular analytical and ocean observing network, Limnol. Oceanogr., 56, 1255–1272, 2011.
Sackmann, B. S., Perry, M. J., and Eriksen, C. C.: Seaglider observations of variability in daytime fluorescence quenching of chlorophyll-a in Northeastern Pacific coastal waters, Biogeosciences Discuss., 5, 2839–2865, https://doi.org/10.5194/bgd-5-2839-2008, 2008.
Sieracki, M. E., Viles, C. L., and Webb, K. L.: Algorithm to Estimate Cell Biovolume Using Image Analyzed Microscopy, Cytometry, 10, 551–557, 1989.
Sieracki, M. E. and Poulton, N.: Biol. and Chem. Oceanogr. Data Manage. Office, Woods Hole, Mass., 2011.
Sigleo, A., Neale, P. J., and Spector, A.: Phytoplankton pigments at the Weddell–Scotia confluence during the 1993 austral spring, J. Plank. Res., 22, 1989–2006, 2000.
Sosik, H. M. and Olson, R. J.: Automated taxonomic classification of phytoplankton sampled with imaging-in-flow cytometry, Limnol. Oceanogr. Methods, 5, 204–216, 2007.
Strutton, P. G., Martz, T. R., DeGrandpre, M. D., McGillis, W. R., Drennan, W. M., and Boss, E.: Bio-optical observations of the 2004 Labrador Sea phytoplankton bloom, J. Geophys. Res., 116, C11037, https://doi.org/10.1029/2010jc006872, 2011.
Sullivan, J. M., Twardowski, M., Zaneveld, J. R., and Moore, C.: Measuring optical backscattering in water, in: Light Scattering Reviews 7, edited by: Kokhanovsky, A. A., Springer Berlin Heidelberg, 189–224, 2013.
Twardowski, M. S., Claustre, H., Freeman, S. A., Stramski, D., and Huot, Y.: Optical backscattering properties of the "clearest" natural waters, Biogeosciences, 4, 1041–1058, https://doi.org/10.5194/bg-4-1041-2007, 2007.
Van Heukelem, L. and Thomas, C. S.: Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments, J. Chromatogr. A, 910, 31–49, 2001.
Veldhuis, M. J. W., Cucci, T. L., and Sieracki, M. E.: Cellular DNA content of marine phytoplankton using two new fluorochromes: Taxonomic and ecological implications, J. Phycol., 33, 527–541, 1997.
Verity, P. G., Robertson, C. Y., Tronzo, C. R., Andrews, M. G., Nelson, J. R., and Sieracki, M. E.: Relashionship between cell-volume and the carbon and nitrogen content of marine photosynthetic nanoplankton, Limnol. Oceanogr., 37, 1434–1446, 1992.
Verity, P. G., Stoecker, D. K., Sieracki, M. E., Burkill, P. H., Edwards, E. S., and Tronzo, C. R.: Abundance, Biomass and Distribution of Heterotrophic Dinoflagellates During the North-Atlantic Spring Bloom, Deep-Sea Res. Pt. II, 40, 227–244, 1993.
Yoder, J. A., McClain, C. R., Blanton, J. O., and Oey, L. Y.: Spatial scales in CZCS-chlorophyll imagery of the southeastern US continental shelf, Limnol. Oceanogr., 32, 929–941, 1987.
Zhang, X., Hu, L., and He, M.-X.: Scattering by pure seawater: Effect of salinity, Opt. Express, 17, 5698–5710, 2009.
Short summary
The ratio of simple optical properties measured from underwater autonomous platforms, such as floats and gliders, is used as a new tool for studying phytoplankton distribution in the North Atlantic Ocean. The resolution that optical instruments carried by autonomous platforms provide allows us to study phytoplankton patchiness and its drivers in the oceanic systems.
The ratio of simple optical properties measured from underwater autonomous platforms, such as...
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