Global marine plankton functional type biomass distributions: coccolithophores

O'Brien, Colleen; Peloquin, J.; Vogt, Meike; Heinle, Moritz; Gruber, Nicolas; Ajani, Penelope; Andruleit, Harald; Arı́stegui, Javier; Beaufort, Luc; Estrada, Marta; Karentz, Deneb; Kopczyńska, Elżbieta E.; Lee, R.; Pritchard, Tim; Widdicombe, Claire E.

doi:10.5194/essdd-5-491-2012

Cited by 20 publications

(26 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, coc-SynSenPFT values are a bit higher at 20 • N to 40 • N. Opposed to that, large differences are observed between c-nano and coc-SynSenPFT when compared with coc-NOBM (Figure 10). Especially south of 45 • S coc-NOBM shows absents of coccolithophores which is in disagreement not only to coc-SynsenPFT, but also to findings by O'Brien et al (2013). They show that coccolithophores have been sampled during many research campaigns up to 80 • S. While coc-SynSenPFT and cnano show elevated values at equator with similar seasonality, coc-NOBM is low, but enhanced north and south of the equator as opposed to the two other products.…”

Section: Match-ups With In Situ Observationscontrasting

confidence: 40%

“…The model has parametrizations limiting the latitudinal extension of the two former groups (Gregg and Casey, 2007). Distribution of global HPLC marker pigments for PFTs , PFT abundance based on HPLC pigment data sets (Swan et al, 2016) and coccolithophore counts (O'Brien et al, 2013) clearly show presence of cyanobacteria and coccolithophores also in temperate and high latitudes. In this respect, these studies as well as the satellite-based study by Alvain et al (2008) support the global patterns of the SynSenPFT, Sf and PSC.…”

Section: Match-ups With In Situ Observationsmentioning

confidence: 99%

See 1 more Smart Citation

Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

et al. 2017

View full text Add to dashboard Cite

We derive the chlorophyll a concentration (Chla) for three main phytoplankton functional types (PFTs) -diatoms, coccolithophores and cyanobacteria -by combining satellite multispectral-based information, being of a high spatial and temporal resolution, with retrievals based on high resolution of PFT absorption properties derived from hyperspectral satellite measurements. The multispectral-based PFT Chla retrievals are based on a revised version of the empirical OC-PFT algorithm applied to the Ocean Color Climate Change Initiative (OC-CCI) total Chla product. The PhytoDOAS analytical algorithm is used with some modifications to derive PFT Chla from SCIAMACHY hyperspectral measurements. To combine synergistically these two PFT products (OC-PFT and PhytoDOAS), an optimal interpolation is performed for each PFT in every OC-PFT sub-pixel within a PhytoDOAS pixel, given its Chla and its a priori error statistics. The synergistic product (SynSenPFT) is presented for the period of August 2002 March 2012 and evaluated against PFT Chla data obtained from in situ marker pigment data and the NASA Ocean Biogeochemical Model simulations and satellite information on phytoplankton size. The most challenging aspects of the SynSenPFT algorithm implementation are discussed. Perspectives on SynSenPFT product improvements and prolongation of the time series over the next decades by adaptation to Sentinel multi-and hyperspectral instruments are highlighted.

show abstract

Section: Match-ups With In Situ Observationscontrasting

confidence: 40%

Section: Match-ups With In Situ Observationsmentioning

confidence: 99%

Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

et al. 2017

View full text Add to dashboard Cite

show abstract

“…An additional step of quality control is further applied once the FLAVOR method has been operated. It is based on Chauvenet's criterion which is used to identify statistical outliers in the retrieved biomass data (Buitenhuis et al, 2013;Glover et al, 2011;O'Brien et al, 2013). The criterion was applied to the surface data of each profile (median of values from the surface down to 20 m).…”

Section: Conversion Of Chlorophyll Fluorescence Into Chlorophyll a Comentioning

confidence: 99%

Vertical distribution of chlorophyll <I>a</I> concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean

Sauzède

Lavigne

Claustre

et al. 2015

Earth Syst. Sci. Data

View full text Add to dashboard Cite

Abstract. In vivo chlorophyll a fluorescence is a proxy of chlorophyll a concentration, and is one of the most frequently measured biogeochemical properties in the ocean. Thousands of profiles are available from historical databases and the integration of fluorescence sensors to autonomous platforms has led to a significant increase of chlorophyll fluorescence profile acquisition. To our knowledge, this important source of environmental data has not yet been included in global analyses. A total of 268 127 chlorophyll fluorescence profiles from several databases as well as published and unpublished individual sources were compiled. Following a robust quality control procedure detailed in the present paper, about 49 000 chlorophyll fluorescence profiles were converted into phytoplankton biomass (i.e., chlorophyll a concentration) and size-based community composition (i.e., microphytoplankton, nanophytoplankton and picophytoplankton), using a method specifically developed to harmonize fluorescence profiles from diverse sources. The data span over 5 decades from 1958 to 2015, including observations from all major oceanic basins and all seasons, and depths ranging from the surface to a median maximum sampling depth of around 700 m. Global maps of chlorophyll a concentration and phytoplankton community composition are presented here for the first time. Monthly climatologies were computed for three of Longhurst's ecological provinces in order to exemplify the potential use of the data product. Original data sets (raw fluorescence profiles) as well as calibrated profiles of phytoplankton biomass and community composition are available on open access at PANGAEA, Data Publisher for Earth and Environmental Science.Raw fluorescence profiles:

show abstract

“…The recent publication of the MARine Ecosystem DATa (MAREDAT) atlas of plankton biomass distributions of 10 plankton functional types (PFTs) has provided one part of the necessary global information. It includes compilations of biomass observations for pteropods (Bednaršek et al, ), coccolithophores (O'Brien et al, ), and foraminifers (Schiebel & Movellan, ). Comparison of these databases show that pteropods dominate the global ocean calcifier biomass (Buitenhuis, Vogt, et al, ) and therefore possibly also carbonate export.…”

Section: Introductionmentioning

confidence: 99%

Large Contribution of Pteropods to Shallow CaCO₃ Export

Buitenhuis

Quéré

Bednaršek

et al. 2019

Global Biogeochemical Cycles

View full text Add to dashboard Cite

The literature on the relative contributions of pelagic calcifying taxa to the global ocean export of CaCO3 is divided. Studies based on deep sediment trap data tend to argue that either foraminifers or coccolithophores, both calcite producers, dominate export. However, the compilations of biomass observations for pteropods, coccolithophores, and foraminifers instead show that pteropods dominate the global ocean calcifier biomass and therefore likely also carbonate export. Here we present a new global ocean biogeochemical model that explicitly represents these three groups of pelagic calcifiers. We synthesize databases of the physiology of the three groups to parameterize the model and then tune the unconstrained parameters to reproduce the observations of calcifier biomass and CaCO3 export. The model can reproduce both these observational databases; however, substantial dissolution of aragonite above the aragonite saturation horizon is required to do so. We estimate a contribution of pteropods to shallow (100 m) export of CaCO3 of at least 33% and to pelagic calcification of up to 89%. The high production‐high dissolution configuration that shows closest agreement with all the observations has a CaCO3 production of 4.7 Pg C/year but CaCO3 export at 100 m of only 0.6 Pg C/year.

show abstract

Global marine plankton functional type biomass distributions: coccolithophores

Cited by 20 publications

References 42 publications

Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

Vertical distribution of chlorophyll <I>a</I> concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean

Large Contribution of Pteropods to Shallow CaCO₃ Export

Contact Info

Product

Resources

About

Global marine plankton functional type biomass distributions: coccolithophores

Cited by 20 publications

References 42 publications

Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT)

Vertical distribution of chlorophyll &lt;I&gt;a&lt;/I&gt; concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean

Large Contribution of Pteropods to Shallow CaCO3 Export

Contact Info

Product

Resources

About

Vertical distribution of chlorophyll <I>a</I> concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean

Large Contribution of Pteropods to Shallow CaCO₃ Export