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Title: Fluorescence Analysis of Phytoplankton Pigment, Group, and Physiological Variability


1
Fluorescence Analysis of Phytoplankton Pigment,
Group, and Physiological Variability
Alexander Chekalyuk
NASA Goddard Space Flight Center, Wallops Flight
Facility / Hampton University
2
(No Transcript)
3
Why Fluorescence?
  • High sensitivity spectral discrimination
    between CDOM and pigment fluorescence, Raman and
    elastic scattering
  • Enhanced selectivity provided by spectral
    fluorescence excitation
  • Potential for assessment of algal pigments,
    physiology, and functional groups
  • Variety of platforms and sensors ships,
    drifters, buoys, autonomous vehicles, airplanes
    (LIDAR), satellites (FLAPS)
  • Works remotely and can be as accurate as HPLC

Spectral discrimination between CDOM and Pigment
Fluorescence, Raman and Elastic Scattering
CDOM fluorescence
Chlorophyll fluorescence
Chlorophyll a fluorescence
Phycoerythrin fluorescence
Water Raman
Laser, 532 nm
Water Raman
Laser, 473 nm
Selective spectral fluorescence excitation to
assess phytoplankton pigment and taxonomic
composition
Fluorescence induction assessment of
phytoplankton physiology
4
Advanced Laser Fluorometer (ALF-1, 2005) for
Measurements in Coastal and Estuarine Waters
ALF system, 5 hours of underway flow-through
operations, up to 33 mi/h
5
Advanced Laser Fluorometry Spectral
Deconvolution for Accurate Assessment of Water
Constituents
6
ALF Assessment of Chl-a, Phycobiliprotein CDOM
Abundance, Algal Physiology Water Turbidity
Delaware Bay
7
ALF Assessment of Chl-a, Phycobiliprotein CDOM
Abundance, Algal Physiology Water Turbidity
Laser elastic scattering
CDOM fluorescence
Phycoerythrin fluorescence
Green Laser Excitation
Chlorophyll-a fluorescence
Raman scattering
Blue Laser Excitation
Raman scattering
Allophycocyanin fluorescence
CDOM fluorescence
Chlorophyll-a fluorescence
Pump-During-Probe (PDP) assessment of algal
physiology
MAB
8
A,B Spectral deconvolution (SDC) of
laser-stimulated emissionC Chl-a measurements
vs. HPLC analysis D ALF assessments of water
turbidity
Green laser excitation 11 SDC components
CDOM fluorescence
Raman scattering
Blue laser excitation
A
B
Phycocyanin fluorescence
Phycocyanin Group (phycocyanin, allophycocyanin
and phycocyanoerythrin)
Chlorophyll-a fluorescence
C
9
ALF Mappingof red tide bloom in the Pacific
coastal zone of San DiegoCollaborative
study with Dr. Mitchell (SIO), June 2005
10
ALF Underway Measurements in the Chesapeake
(upper) and Delaware (lower) Bays
ALF flow-through measurements, up to 33
miles/hour
C
New! (March 31, 2006)
DataFlow measurements
2
CDOM
Phycocyanin
Chlorophyll-a
1
Fv/Fm
Allophycocyanin
1
2
11
Advanced Laser Fluorometry Spectral Analysis of
Phytoplankton Functional Groups
12
Chesapeake Bay York River, July 2005
Variability in Water Constituents and
Phytoplankton Composition
Dinoflagellates/diatoms dominance
Relative abundance of cyanobacteria vs.
cryptophytes (zeaxanthin/Chl alloxanthin/Chl)
13
ALF Spectral Analysis Assessment of
Dinoflagellates and Diatoms in Coastal Communities
Lab measurements, cultures
Field, mixed populations
14
ALF Spectral Analysis Assessment of
Cyanobacteria and Cryptophytes in Coastal Algal
Communities
Lab measurements, cultures
Zea/Alloxanthin vs. PE peak
Field measurements
15
Advanced Laser Fluorometry Improved Assessments
of Phytoplankton Photophysiology
16
PP LIDAR Airborne Assessment of Phytoplankton
Photo-Physiology
probe beam
150 m
pump laser
pump beam
probe laser
telescope
spectrograph
17
PP LIDAR 2D Mapping of Physiology and Pigments
Delaware Bay, March 23, 2002 Duration 3 hours
SeaWiFS Chl-a, March 23, 2002
18
Combining Spectral and Variable Fluorescence
Measurements Improved Assessments of
Phytoplankton Photophysiology
ALF, Delaware Bay, March 2006
Chlorophyll-a fluorescence, 680 nm
Phycocyanin fluorescence, 642 nm
Variable fluorescence needs to be corrected for
non-Chl pedestal that may be significant
19
Assessments of Chl-a and Phytoplankton
Photophysiology Does the Light History (NPQ)
Really Matter?
  • Airborne LIDAR in situ measurements
  • Left 2-fold daytime drop in Chl-a
    fluorescence yield
  • Right 10-fold daytime decline in variable
    fluorescence, (Fm-Fo)/Fm
  • Presumed mechanisms
  • Instant photoregulation by ambient light
    (photochemical quenching)
  • Long-term (1 h recovery) photoinhibition
    (light history)

Night
Day
Chl-a fluorescence, 1 min vs. 2-3 h dark
adaptation
Fv/Fm, 1 min vs. 2-3 h dark adaptation
Field ALF flow-through dark-chamber (no ambient
light) daytime measurements Horizontal quick
(1 min) dark adaptation Vertical long (gt1
hour) dark adaptation Conclusion no long-term
photoinhibition of photosynthesis in the upper
water layer exposed to intense (noon) ambient
light (no light history?) Note
Contradicts FRRF field/lab data Consequences
Accurate flow-through fluorescence assessments of
Chl-a concentration and phytoplankton
photophysiology regardless ambient light
Shipboard (horizontal) vs. laboratory (vertical)
flow-through ALF measurements of Chl-a
fluorescence (left) and variable fluorescence
(right) both slopes 1 ! No NPQ?
20
Coming Soon New Instruments and Platforms
21
New Instruments-AOL4 Green and
Wavelength-Tunable Excitation (OPO)
Hyperspectral Signal Detection (ICCD spectrometer)
telescope
generator
AOL YAG laser, 100 mJ
GN
GPS
OPO 1 mJ, 400-670 nm
PC
PC
computer
beam expander
OS2

Gater
SP
SP
PMT
ICCD
Hyper-spectral detector, 400800 nm
water surface
150 m
spectrograph
OPO beam
AOL YAG laser beam
22
New Platforms Unmanned Airborne Vehicle (UAV)
Compact hyperspectral radiometer Aerosonde
UAV for low-cost meso- and synoptic-scale Ocean
color measurements (GSFC/WFF)
  • Test Flight
  • July 2006

23
Feasibility of Space-borne Measurements
24
Can We Do That From Space? (PhyLM vs. FLAPS)
  • New Technology Needs
  • Powerful lasers
  • Large-aperture telescope
  • Hyperspectral sensor

25
17 Fluorescence Lidar Active-Passive Suite
(FLAPS)
26
Can we do it with natural fluorescence?
27
Avenue to Explore Regional Assessments of Algal
Physiology Productivity from Natural
Fluorescence
View from Moon 361979 km above 2714'S 8232'W
  • Measurements of natural fluorescence vs. PAR
    under low-light regime may provide regional
    mapping of phytoplankton physiology
  • A platform Geostationary satellite?

FP
CFE
28
A Question Why Do We Not Measure Natural
Fluorescence of Phycobiliprotein Pigments?
?
Phycocyanin fluorescence, 640-650 nm
Phycoerythrin fluorescence, 575-590 nm
?
Chlorophyll-a fluorescence, 5 mg/l
Phycocyanin fluorescence, 1 mg/l
29
Summary Fluorescence Analysis of Phytoplankton
Pigment, Group and Physiological Variability
  • Conclusion
  • The key solutions for fluorescence analysis in
    optically complex coastal and estuarine waters
    are
  • Broadband hyperspectral measurements of water
    emission stimulated with several laser excitation
    wavelengths
  • Spectral deconvolution of the emission patterns
    to retrieve the constituent bands
  • Combining spectral and variable fluorescence
    measurements
  • This provides potential for
  • o      Improved assessments of Chl-a
    concentration and phytoplankton photophysiology
  • o      Detection, characterization and
    quantitative assessments of phycobiliprotein
    pigments
  • o      Detection, discrimination and quantitative
    assessments of phytoplankton functional groups
  • (e.g., dinoflagellates vs. diatoms cyanobacteria
    vs. cryptophytes)
  • Future directions
  • Methods (i) Fluorescence assessment of
    non-fluorescence accessory pigments, and (ii)
    pigment, group and physiological assessments from
    natural fluorescence
  • Instruments (I) new generation NASA Airborne
    Oceanographic LIDAR (AOL-4), (ii) Ocean color
    from UAV platforms and (iii) feasibility of
    space-borne Fluorescence LIDAR Active-Passive
    Suite (FLAPS)
  • Further evaluation of the new methods and
    instruments in a range of environments, including
    coastal, estuarine and blue oceanic waters, and
    spatial/temporal scales
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