coccolithophores optical properties, ecology, and ... · impact of climate change on phytoplankton...
TRANSCRIPT
Griet NeukermansMarieCuriePostdoctoralFellow
Laboratoire Océanographique deVillefranche-sur-Mer
COCCOLITHOPHORES
Optical properties, ecology, and biogeochemistry
Griet NeukermansPhDinopticaloceanographyMSc.Mathematics(VUB-Belgium)MSc.Oceans&Lakes(VUB-Belgium)
RemotesensingandlightscatteringpropertiesofsuspendedparticlesinEuropeancoastalwaters(PhD,ULCO-France,advisors:H.Loisel andK.Ruddick)
ImpactofclimatechangeonphytoplanktonbloomsontheArcticOcean’sinflowshelves(BantingPostdoctoralFellow,ULaval-Canada,advisor:M.Babin)Remotesensingofoceancolour andphysicalenvironment
+Modelingthelightscatteringpropertiesofcoccolithophores (withG.Fournier)
Polewardexpansionofcoccolithophore bloomsandtheirroleinsinkingcarbonintheSubarcticOcean(MarieCuriePostdoctoralFellow,LOV-France,advisor:H.Claustre +co-advisors:G.Beaugrand andU.Riebesell)Opticalremotesensing+Ecologicalnichemodeling+opticalmodeling+Biogeochemical-Argofloats
Opticaldetectionofparticleconcentration,size,andcompositionintheArcticOcean(PostdocSIOUCSD-USA,advisors:D.Stramski andR.Reynolds)
Coreexpertise:developmentandapplicationofremoteandinsituopticalsensingofmarineparticles
2008
2012
2014
2017
now
PhD
Post
doc1
Postdo
c2Po
stdo
c3
When not at work… I ride my bike!
This course covers• Coccolithophore biologyandecology
– Diversity,distribution,andbiomass• Remotesensingofcoccolithophores andtheircalcitemass(PIC)
– Bloomobservationsandclassification– QuantifyingPICintheocean– CaveatsofremotelysensedPIC
• Opticalpropertiesofcoccolithophores– Scattering,backscattering,andabsorption– Reflectance– Birefrigence
• Someapplicationsofopticaloceanographyincoccolithophoreresearch– Ecology(environmentalcontrolofcoccolithophore blooms,
phenology,oceanalbedo)– Climatechangeimpacts– Biogeochemistry(influenceonpCO2, calciteballasteffect)
Mon
teiro
eta
l.(201
6–Sci.Ad
v.)
5µm
What are coccolithophores?• Calcifyingphytoplankton• Haptophyta;Prymnesiophyceae• ProduceCaCO3 scales(coccoliths)• About200species• Occurthroughouttheworldocean• 5 µm≤D≤40µm• Consideredasasinglefunctional
groupwithinthephytoplankton(>biogeochemistry)
• Compriseabout10%ofglobalphytoplanktonbiomass
• MajorCaCO3 producersintheopenocean(besidesforams andpteropods)
5µm
Coccolith production
Coccolithus pelagicus
Videomicroscopy Courtesy:AlisonTaylor Tayloretal.2007Eur.J.Phycol.
Producesabout1coccolithevery1.5-2h
D=10-40µm
Coccolith functionMon
teiro
etal.(2016–Sci.Ad
v.)
Whydococcolithophores calcify?
Monteiroetal. (2016 – Sci.Adv.)
5µm
• Temperatureandlightarekeydriversoflatitudinaldiversitypatterns
• Diversityishighestinthelowerlatitudes• Diversityislowestathigherlatitudes,whereassemblagesareoften
dominatedbythebloom-formingspeciesE.huxleyi (Ehux)
O’Brie
netal.,201
6–Progr.Oceanogr.
annualmeancoccolithophore diversity
Coccolithophore distribution and diversityCoccolithophore speciesexhibitdistinctvertical and latitudinalzonation.
Coccolithophore distribution and diversity
Monteiroetal. (2016 – Sci.Adv.)
5µm
Coccolithophore speciesexhibitdistinctverticalandlatitudinalzonation
Balchetal.,2017– Ann.Rev.Mar.Sci.
Thepresenceofdeep-dwellingspecieswellbelowthephoticzonehasbeentakenasevidence
Ehux
Throughouttheeuphoticandaphoticzone,accordingtotheirecologicalpreferences.
Mixotrophy?
Ehux isdistinctfrommanyotherspeciesinthatitiscommoninallphoticzones
Coccolithophore biomass distribution
• Mostcomprehensiveinsitudatasetofcoccolithophore biomassfrommicroscopyorflowcytometry(1929-2008)
• About11000observationsoftotalcoccolithophore abundanceandbiomass(O’Brienetal.,2013– ESSD)
0-5mdepth
ThisisOrganicbiomassorPOC
(O’Brie
netal.,201
3–ESSD
)
Coccolithophore PIC in the ocean
• OCRSprovides daily globalobservations of PIC• …butthealgorithm haslimitations…
VIIRSoceancolour satelliteannualcomposite(2017)
GreatCalciteBelt(Balchetal.,2011,JGR)
BarneyBalchBigelow(USA)
Remote sensing of coccolithophores and their calcite mass (PIC): a chronological overview of approaches
1. Holligan etal.(1983):bloomobservationsfromCZCSRrs at550nm2. Balchetal.(1991):bloomobservationsfromAVHRR+insituIOPs3. BrownandYoder(1994):coccolithophore bloomclassifierforCZCS4. Gordonetal.(2001):quantificationofPIC(high),NASA’sstandardalgorithm5. Balchetal.(2005):quantificationofPIC(low-med),NASA’sstandardalgorithm6. Shutler etal.(2010):coccolithophore bloomextentinshelfseasandcoastal
zones– probably theonly case2algorithm7. Sadeghi etal.(2012): SCIAMACHY,based onabsorption8. Mooreetal.(2012):bloomclassifierbasedonfuzzylogicforallOCsensors9. Mitcheletal.(2017):quantificationofPICbasedonreflectance-difference
approach
First observations of coccolithophore blooms
• From ships inNorwegian fjords:« unusual milky turquoisecolour caused byenourmous concentrationsofthecalcareousflagellate Coccolithus huxleyi upto115x106 cells/Linsurfacewater»(Birkenes andBraarud 1952;Berge,1962).
• Firstbloomsdiscovered from space:– Landsat in1977(LeFevre etal.,1983)– CZCSin1982+ship (Holligan etal.1983)
See http://www.noc.soton.ac.uk/soes/staff/tt/eh/v_0.htm fordetails
LANDSATMSS4(0.5-0.6µm)2July1977
E.huxleyi
MODISnatural-colorimageAugust2011
©NASA
https://oceancolor.gsfc.nasa.gov/
Landsat8/OLI(OperationalLandImager)truecolour compositeimagefromJune18,2018.
Holliganetal.,198
3–NatureLett.
CZCS550nmJune1979 CZCS550nmMay1981 CZCS550nmMay1982
CZCSreflectanceinbloomwaters
Coastalhigh[sediments]
CZCSre
flectance443
nm
Ship- andsatellite-borneobservationsofEhux bloomsataEuropeancontinentalshelfedge.
First OCRS observations of blooms - CZCS
SignificantpositivecorrelationwasfoundbetweenreflectancefromeachoftheCZCSchannels(443,520,and550nm)andthesurfaceabundanceofcoccolithophores.
CoastalLow [sediments]
Bloom observations from AVHRR (1)Ba
lchetal.,L&O(1991)
Balch etal.(1991)andAckleson andHolligan (1989)suggested that thehighbackscattering wascaused principally bythepresence ofdetached coccoliths,rather than bycoated cells.
Ship- andsatellite-borneobservationsofEhux bloomsintheGulfofMaine
Bloomareaabout50000km2
AVHRRChangingcoccolith:cellratio
Insitubackscatte
ringdu
etococclith
s
“Freecoccoliths dothebulkofthelightscatteringinEhux bloomsbutreflectanceismorelikelyafunctionofcoccoliths and(coated)cells.”[Balch etal.(1991)]
Firststudyconnectinginsitubiogeochemicalandopticalmeasurementswithsatellitedata(AVHRR)duringanEhux bloomSouthofIcelandin1991
Holliganetal.,199
3–GB
C
Levelsofdimethylsulphide (DMS)insurfacewaterswerehighcomparedtoaverageoceanvalues,withthegreatestconcentrationsinlocalizedareasCharacterized byhighratesofPhotosynthesis,calcification,andgrazing bymicrozooplankton.
Bloomarea: 0.5millionkm2
(sizeofSpain)
Bloom observations from AVHRR (2)
Coccolithproductionhadasignificantimpactonthestateofthein-waterpCO2
5µm
Coccolithophore blooms
Young,J.R.,Bown P.R.,LeesJ.A.(2017)Nannotax3website.InternationalNannoplankton Association.www.mikrotax.org/Nannotax3
Gephyrocapsa oceanicaEmiliania huxleyiCoccospheres,D6to10µm;coccoliths,3.5to6µmlong.
Coccospheres,D5to10µm;coccoliths,2to5 µmlong.
Twoknownbloomformingspecies(“bloom”means>106 cells/L)
Predominantlylow-latitudewarm-watereutrophicspecies.MorewidespreadinthePacificthanintheAtlanticOcean.
Ubiquitous species,dominantbloom-formerintemperateandsubpolarwaters.
Ehux isthoughttobeunique inoverproducingcoccoliths andthensheddingtheexcessonesintothewater(Paasche 2002)->hardlyanyoftheopen-oceanbrightwatersareattributabletospeciesotherthanEhux.Butsee(BlackburnandCresswell,1993)forG.oceanica bloominAUS.
Emiliania huxleyi (Ehux)
http://www.noc.soton.ac.uk/soes/staff/tt/eh/
CreatedbyTobyTyrrellatSouthamptonUniversity
Coccolithophore bloom classification - CZCSBrow
nandYode
r,J.Geophys.Res.(199
4)
SupervisedmultispectralclassificationschemefromweeklyCZCSdata(1978-1986)fromnLwmagnitudeandband-ratios.
MisclassificationsofbloomsduetosimilaritywithWhitingsSediments
Coccolithophorid bloomsannualcoverage:1.4x106km2
CZCS(1978-1986)climatologyofcoccolithophore blooms
AmodifiedversionofthisclassifierisusedasNASA’sL2coccolithophoreflag.
Blooms
BrownandYoder (1994)
oBluewater
Whiting Sediments
Coccolithophore bloom classificationMooreetal.(2012),RSE
Generalizedbloomclassifierforalloceancolour sensors(SeaWiFS,MODIS,MERIS)basedonfuzzylogic.Detectionlevels:1500-1800cells/mLand43000-78000liths/mL
SeaWiFS spectraincoccoblooms+8clustermeans
clustermeansofotherOWTs(fromclearbluetoturbidcoastal)
+8cocco clustermeans
Globalannualcoccolithophore bloomcoverageofabout2.75x106km2:2x106km2 inSouthernHemisphereand0.75x106km2 inNorthernHemisphere.
Typicallypeakat490nmPercentageofcoccolithophore bloomsdetectedfromweeklySeaWiFSdata(1997-2010)
PIC in blooms from SeaWiFSGo
rdon
eta
l.(200
1)
3-bandalgorithm retrieving rw(546nm)fromSeaWiFS reflectance inRed andNIRbands(670,765,865nm)
SuitableforhighconcentrationsofCaCO3,whenB-Gbandsoftensaturate(notaccurateforPICconcentrations<3mmol m-3)
Assumptions:• rw(765,865nm)=0• rw(l)=bb(l)/(6(aw(l)+bb(l)))withl=670nm
Gordonetal.(2001)
Balchetal.(1991)
Heartofthealgorithm:bbpic(546nm)=1.6x[PICinmol m-3]-0.0036bbpic(l)=bbpic (546)x(546/l)1.35[BasedoninsitumeasurementsbyBalchetal.(1991)]
maximumRMSerrorofthealgorithmis+/- 15μg/L(or1.2mmol m-3)=about5-10%ofPICindensebloom(Balch,2004)
PIC from MODISBa
lchetal.(200
5)
PICisretrievedfromaLUTbasedonsemi-analyticalOCRSmodelofGordonetal.(1988)
Look-upTable(LUT)
Retrievaluncertainty:duetonaturalvariabilityinphytoplankton-detritusbb correspondsto25x 106 coccoliths/L=5µgPIC/L=0.41mmol PIC/ m3
1µgPIC/L=0.083mmol PIC/ m3
1mmol PIC/m3=12µgPIC/L
Validatedwithinsitudataofbbpic,PIC,Chla,andLw mainlyinMainewaters(Ehuxdominated)
Majorlimitations:• dependencyonthereflectancemodel(assumedconstantphyto-detritusbb)• absoluteradiance->sensitivitytoatmosphericcorrectionerrors• Estimateof“excessbackscatter”->particlesotherthanPICmayalsocauseexcess
backscatter
Balchetal.(2005)
0.83
1.66
2.5
mmol PIC/m3
Heartofthealgorithm(sameasGordonalgo):bbpic(546nm)=1.6x[PICinmol m-3]-0.0036bbpic(l)=bbpic (546)x(546/l)1.35
NASA’s standard PIC algorithm
MainlyvalidatedinMaineandSouthernOceanwaters.
ahybrid of2-bandapproachofBalchetal. (2005)andthe3-bandapproachofGordonetal.(2001)
The2-bandapproachofBalchetal.(2005)isapplied,unlessreflectancevaluesfalloutsidetheboundsoftheLUT(<40µgPIC/Lor3mmol PIC/m3);thenthe3-bandalgorithmofGordonetal.
(2001)isused.
Thealgorithmisapplicabletoallcurrentoceancolorsensors.
“BalchandGordon”
https://oceancolor.gsfc.nasa.gov/cgi/l3
PIC algorithm caveatsFalsepositivesforhighPIC(highly reflective waters)produced by:
• Whitings =patchesofsuspendedfine-grainedcalciumcarbonate
https://earthobservatory.nasa.gov/ (Dierssen etal.,2009– Biogeosciences)
BahamasBanks
• Highconcentrationsofemptydiatomfrustules(e.g.onshallowshelves,Broerse etal.,2003)orsuspendedsediments
• Inpolarwaters:Floatingsea-ice• Bubbles• Phaeocystis foam
• Glacialrockflourinsomehigh-altitudelakes
(e.g.,Dierssen etal.,2002).
(SeeBalch,2018,Ann.Rev.Mar.Sci.orTyrrellandM
erico,2004)
Alternative PIC algorithmMitchelletal.(2017)
PotentialtoreplacetheBalchetal.(2005)algorithmcurrentlybeinginvestigated
Reflectancedifferenceapproach,inspiredbyHuetal.(2012)forChla
MoreresistanttoatmosphericcorrectionerrorsandresidualerrorsinsunglintcorrectionsthantheBalchetal.(2005)algorithm.
This course covers• Coccolithophore biologyandecology
– Diversity,distribution,andbiomass• Remotesensingofcoccolithophores andtheircalcitemass(PIC)
– Bloomobservationsandclassification– QuantifyingPICintheocean– CaveatsofremotelysensedPIC
• Opticalpropertiesofcoccolithophores– Scattering,backscattering,andabsorption– Reflectance– Birefrigence
• Someapplicationsofopticaloceanographyincoccolithophoreresearch– Ecology(environmentalcontrolofcoccolithophore blooms,
phenology,oceanalbedo)– Climatechangeimpacts– Biogeochemistry(influenceonpCO2, calciteballasteffect)
Light absorption properties of coccoliths
Measurementsofap(l)(filter-padtechnique)inEhux bloomintheGulfofMaine.
Balchetal.,L&O(1991)
Lightabsorptionbycoccolithsisnegligible
ConsistentwiththeabsorptionpropertiesofcalciteforwhichtheabsorptionisnegligibleeveninthefarUV(Palik,1998- HandbookofOpticalConstantsofSolids).
Light absorption by Ehux cells
MeasurementsfromEhux cultures
TypicalChla contentforEhux =0.24pg Chla/cell(Ahn etal.,1992– DeepSeaRes.),upto0.4pg Chla /cell(Danielsetal.,2014– Biogeosciences)
->0.24pg - 0.40pg Chla x106 cells/Linabloom=0.24-0.40µg/Linabloom.
Chromatogram(HPLCmethod)
Moreland
Bricaud,DeepSeaRes.(1981)
Zapataeta
l.,M
EPS(2004)
Incell
Pigmentsinsolution
MeasuredinEhux culture
Light scattering properties
Theyaremadeofcalcitewithrefractiveindex=1.20relativetowater(otherrefractiveindicesforreference:1.05forPOC,1.07forBSi),whichmakesthemhighlyefficientlightscatterers
Morel(1
991)
Light scattering properties of calcite particles in the ocean
Calcite-specificscatteringcoefficientissize-dependentaccordingtoanomalousdiffractiontheoryfornon-absorbingspheres(VandeHulst,1981).
Balchetal.,L&O(1996)
Foraminifera(0.05-1mm)(amoeboidprotozoans)
Pteropods (1-3mm)”seasnails”
Coccolithophores &liths
Negligiblecontributionfromlargercalciteparticles(foramsandpteropods)tobb andthustoRrs
basisofNASA’s standardPICalgorithm:bbpic/PIC=constant
Balchetal.(1991)Insitu:inbloom
Light backscattering vs. PIC
Changingcoccolith:cellratio?
Neukermans andFournier(2018)– F.Mar.Sci.
Opticalmodeling studies (ADA,DDA)showthatbbpic/PICdoes notdepend much onwhethercoccoliths areattached toarefreed from thecoccoshpere(see also Gordonetal.,2009,Appl.Opt.)
Light backscattering properties of EhuxStrongly depend oncoccolith morphology (andsize,indirectly)
SEMofE.huxleyi (J.Young)
ModelofE.huxleyi coccolith
(seeGordon,2006,Appl.O
pt.;Gordonetal.,2009,Appl.Opt.;Zhaietal.,2013,O
pt.Expr.)(FournierandNeukermans,2017,Opt.Expr.;Neukermans andFournier,2018,F.Mar.Sci.)
Backscatterin
gefficiencyfactor,Q
bb
Light backscattering properties of Ehux
Platedcells
Nakedcells
Freecoccoliths
bbpic(l)=bbpic (546)x(546/l)z
z=1.2
z=1.0
z=1.4
Inculture
Note:highmeasurementuncertainty
Vosseta
l.,L&O(1998)
z=0.77
z=0.94ModelofNeukermans andFournier(2018)–F.Mar.Sci.
Ehux has various morphotypes
2µm
2µm
2µm
Poultonetal.,201
1(M
EPS)
DifferentEhuxmorphotypes areexpected(intheory)tohavedifferentmagnitudeandspectralshapesforbackscattering
Morphotype A
Morphotype B/C
Hagino etal.,2011(J.Phycol)
Morphotype R Morphotype OImages:Young,J.R.,Bown P.R.,LeesJ.A.(2017)Nannotax3website.InternationalNannoplankton Association.www.mikrotax.org/Nannotax3
Ehux bloomintheBarentsSea,17August2011.
MODIS
TrueColour CompositefromMODISAqua
The milky-turquoise hue of Ehux bloom waters?
MODISPIC(mol m-3)
The milky-turquoise hue of Ehux bloom waters?
Neukermans andFournier,F.Mar.Sci.(2018)
Allliths attached Allliths freedX36togetcoccolithconcentr.
Allliths freed,changing semi-majoraxisAllliths freed,changing CDOMNote:Rrs normalized at550nm
Calcite is strongly birefrigentIncomingdifferenteffectiveindexofrefractionthanlightintheperpendicularpolarizationdifferentangle
Birefringencecanbedetectedchangesinthepolarizationoflightpassingthroughthematerial(e.g.,polarizedlightmicroscopy)
Guay
andBishop
,Deep
SeaRes.
(2002)
https://en
.wikiped
ia.org/w
iki/B
irefringence
ProvidedthebasisforaninsitumarinePICsensor(theCarbonFluxExplorer– Bishopetal.,2016,Biogeosciences)
Spectrophotometertechnique=transmittance+linearpolarizers
“Birefringencereferstotheabilityofamineralcrystaltosplitanincidentbeamoflinearlypolarizedlightintotwobeamsofunequalvelocities(correspondingtotwodifferentrefractiveindicesofthecrystal),whichsubsequentlyrecombinetoformabeamoflightthatisnolongerlinearlypolarized.”
Birefringencecanbedetectedbymeasuringthechangesinthepolarizationoflightpassingthroughthematerial(e.g.,polarizedlightmicroscopy)
Carbon Flux ExplorerIncomingdifferenteffectiveindexofrefractionthanlightintheperpendicularpolarizationdifferentangle
Birefringencecanbedetectedchangesinthepolarizationoflightpassingthroughthematerial(e.g.,polarizedlightmicroscopy)
Bishop
eta
l.,201
6,Biogeo
sciences
Not(yet)fullyautonomous(duetoimageprocessing)
Resolutiontoocoarsetoresolvecoccolithophores…
marine-snowaggregateofabout1cm
Attenuance arized Counts Imageresolutionis13μm.
600 μm
Brightspheres=200μm sizedforaminiferashells
Designedtoperformsustainedhigh-frequencyobservationsofPOCandPICsedimentationwithintheocean’stwilightzone
This course covers• Coccolithophore biologyandecology
– Diversity,distribution,andbiomass• Remotesensingofcoccolithophores andtheircalcitemass(PIC)
– Bloomobservationsandclassification– QuantifyingPICintheocean– CaveatsofremotelysensedPIC
• Opticalpropertiesofcoccolithophores– Scattering,backscattering,andabsorption– Reflectance– Birefrigence
• Someapplicationsofopticaloceanographyincoccolithophoreresearch– Ecology(environmentalcontrolofcoccolithophore blooms,
phenology,oceanalbedo)– Climatechangeimpacts– Biogeochemistry(influenceonpCO2, calciteballasteffect)
Environmental control of coccolithophore blooms
Large-scaleseasonalbloomsofEhux detectedbyOCsatellitesaregenerallyassociatedwith:
• Temperateandsubpolarwaters• AfteradiatomSpringbloom(succession)• Relativelyhighcriticalirradiances• Stablewatercolumn• Decliningnutrients
Signoriniand
McClain(2009–G
RL)
Balch(2004),adapted
from
Margalef(1978)
[seeIglesias-Rodrigezetal.,2002;TyrrellandM
ercio,2004;Balch2004;SignoriniandM
cClain,2009]
Succession or coexistence of phytoplankton populations Ho
pkinse
tal.(2015–G
BC)
Areasattributesbeexpectedtoberegionswheresignificantshiftsinenvironmentalconditionsleadtophytoplankton
Margalef’s (1978) BarberandHiscock(2006)Succession:shelfregions,upwellingareas,andtheHLNAinsupportofMargalef’s suggestionthatenvironmentalchangespromotetheproliferationofonetaxaattheexpenseofanother.
Coexistence:acrossmuchoftheopenoceaninsupportofBarberandHiscock(2006)’ssuggestionofcoexistencethroughdifferencesinbiomassaccumulationrates,whileactualcompetitionbetweenthetwopopulationsiskeptincheckthroughvariabilityinnutrientuptakeratesandshiftsinthedominantgrazersandtheoverallfoodwebstructure.
Coccolithophore phenologySeasonalvariabilityinPICisidentifiedacrossmuchoftheglobalocean
Hopkinse
tal.(2015–G
BC)
peak PIC concentration
bloom start month bloom peak month
bloom duration
BasedonMODIS8-dayPICclimatology(2003-2012)
Ehux blooms: brighter surface ocean, darker deeper down
Ehux bloomsincreasesoceanalbedo
Contributiontoglobalannuallyaveragedplanetaryalbedoisabout0.13%
But,stronglocaleffects:
(Hovland etal.,2013- J.Mar.Sys.)
Ehux bloomsshoaltheeuphoticzone,diminishingthelightavailablefordeeperalgalspecies,limitingphotosynthesisatdepthby20–40%wherenutrientlevelsareotherwisesufficient
(Tyrrelletal.,1999- JGR)
=0.025mol Cm-3
Poleward expansion of EhuxProposedbyWinteretal.(2014– J.PlanktonRes.),basedonOCRS(CZCSandSeaWiFS)andinsitudata.
fromCZCS(1978-1986)
fromSeaWiFS (1997-2007)
Clim
atologyofclassified
coccolitho
phorebloo
ms
BarentsSea
Coccolithophore datawithin30°-70°S/130°-170°E
Bloomsizeandintensityincreasedinthe1990s.Why?
Poleward expansion of E. huxleyi blooms:On an Arctic inflow shelf (Barents Sea)
Warm(T>3°C)andsalineAW
WarmandfreshCoastalwaters
Cold(T<0°C)andfreshArW
Neukermans etal.(Glob.ChangeBiol.,2018)
Approach:
Combinelong-term(1980s-2016)remotesensingdataofEhux
bloomswithremotesensingdataofthe
physicalenvironment(seasurfacetemperatureandseaice)
PolewardexpansionofEmiliania
huxleyi bloomsintheBarents
SeaandAtlantic
waters
Neu
kerm
anse
tal.(Glob.Ch.Biol.,201
8)Summer max
Bloom threshold
390km(1989-2016)
n.s.
501km(1989-2016)56km/yr
(2010-2016)
Rangeshift
Smythetal.(2004– Geophys.Res.Lett.)
Neu
kerm
anse
tal.(Glob.Ch.Biol.,201
8)
SeaWiFSAVHRR
MODIS
Globalmeanratefor:marinespecies=7.2km/yr,phytoplankton=35.8km/yr,zooplankton=14.2km/yr
Poloczanskaetal.(2013– Nat.Clim.Ch.)
Poleward expansion of E. huxleyi blooms
Atlanticwatertemperature(Kolahydgrographic section)
Neu
kerm
anse
tal.(Glob.Ch.Biol.,201
8)
Summermean
AnnualmeanE.huxleyi bloomdetected
Opticalremotesensing
PolewardexpansionintheBarentsSeaisdrivenbyincreasedintrusionandwarmingofAtlanticwaters
Poleward expansion of E. huxleyi blooms
1980 1985 1990 1995 2000 2005 2010
AtlanticWatervolumetripledèAtlantification (Arthun etal.,2012– J.Clim.)
(Ozieletal.,2016–OceanSci.)
Role of Coccolithophores in Ocean carbon cycle
Therelativestrengthsofthesetwopumps(rainratio)largelydeterminethebiologicallymediatedoceanatmosphereCO2 exchange.
Thebiologicalcarbonpumps
Organiccarbonpump:PhotosyntheticproductionoforganicmatterinthesurfacelayeranditssubsequenttransporttodepthgeneratesaCO2sinkintheocean.
Carbonatecounterpump:CaCO3productionanditstransporttodepth,releasesCO2 inthesurfacelayer.
Rost andRiebesell (2004)
Using10yearsofSeaWiFS dataofclassifiedEhux bloomsintheNorthAtlanticandclimatologies ofpCO2 inair,seawater,salinity,solubilityandgastransfervelocity:
ItwasestimatedthatEhux bloomscanreducetheannualnetsinkofatmosphericCO2 by3–28%.
Shutleretal.(2013– Biogeosciences)
Role of Coccolithophores in Ocean carbon cycle
Role of Coccolithophores in Ocean carbon cycle
Ballasthypothesis: E.huxleyi calcitematerialballastsorganiccarbonbyincreasingsinkingspeedandprotectingorganiccarbonfromremineralisation (Françoisetal.,2002)
widelydebatedandpoorlyunderstood Mesocosm experiment
Hamperedbypaucityandlimitedresolutionoftraditionalparticlefluxmeasurements(fromsedimenttrapsandradiochemicaltracers)
Canweexaminecalciteballastingusingbio-opticalmeasurementsonBiogeochemical-Argofloats?
1. Canweidentifycoccolithophore bloomsfromfloats?2. Canwequantifyassociatedsinkingparticle(carbon)fluxes?
Riebeselletal.(2016– Nat.Geosci.)
Currentfloatposition
Profilesonfloattrajectory
Iceland
Observing E. huxleyi blooms with BGC-Argo floats
Neukermans etal.(inprep.)
Currentfloatposition
Profilesonfloattrajectory
Iceland
Observing E. huxleyi blooms with BGC-Argo floats
Neukermans etal.(inprep.)
Observing E. huxleyi blooms with BGC-Argo floats
Lightb
ackscatte
ring,b
bp(m
-1)
Beam
atte
nuation,cp/100
(m-1)
2008 2009
2008 2009
Refra
ctiveindexofparticles
Twardo
wskieta
l.(200
1)
Neukermans etal.(inprep.)
PositionofBGC-Argofloats,February2018
haveacp sensorandsampledacoccolithophore bloom
ByM.Cornec
Observing E. huxleyi blooms with BGC-Argo floats
PositionofBGC-Argofloats,February2018
haveacp sensorandsampledacoccolithophore bloom
ByM.CornecByL.Terrats
Observing E. huxleyi blooms with BGC-Argo floats
Thankyou!