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Plankton analysis

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Title: Plankton analysis


1
Plankton analysis
  • Song SUN and Ivan HEANEY

2
Importance
  • The base of marine food webs
  • The base of marine biogeochemical cycling
  • The biggest biomass in the oceans
  • Shaping the structure of the marine ecosystem

3
What information arewe concerned about?
  • What lives in the ocean - species composition
  • How many live in the ocean at a certain time -
    Biomass

4
How do we get the information?
  • traditional methods
  • new technologies

5
Observing and Counting
Optical Underwater Video Profiler (UVP)
6
Observing and Counting
Optical Video Plankton Recorders (VPRs)
7
Observing and Counting
Optical Optical plankton counters (OPCs) Laser
OPCs
8
Observing and Counting
Optical Optical plankton counters (OPCs) Laser
OPCs
9
Observing and Counting
Optical Satellite Remote Sensing
10
Observing and Counting
Optical FlowCAM
11
Observing and Counting
Acoustic technology
  • Standard Multi-Frequency Echo Sounders
  • Towed Arrays
  • Side-scan SONAR
  • ADCP

12
Could we get enough information using the new
technology?
  • No!
  • Not enough information for species composition
    and biomass! Only estimates of taxa

13
What we have to do
Take plankton samples
14
Sample processing
Traditional methods
  • Expert Microscope species composition
    Biomass
  • It is the most reliable and it can not be
    substituted at present and in the near future
  • Most of the new technology and new methods for
    the plankton analysis need traditional methods
    for calibrating.

15
Sample processing
Traditional methods
  • The problem for these methods is they are time
    consuming, labor intensive and require highly
    trained technical assistants (sorting centers).
  • Quality control it depends on who does it-the
    knowledge and skill of the technicians.
  • It is hard to meet the needs of marine ecosystem
    research, especially for processing of large
    numbers of samples and for providing real time
    information. When we get the results, the
    situation has changed already.

16
Sample processing
Traditional methods
  • For species identification, it is hard to
    distinguish between similar species, deferent
    stages and eggs.
  • For biomass measurements, these are generally
    estimated as displacement volume or wet weight,
    and then converted into dry weight, organic
    matter, organic carbon or nitrogen using
    conversion factors, or through length weight
    relationships, but a lot of error resources .
  • In general, the statistical relationships between
    the different biomass estimators depends on their
    analytical suitability, precision and accuracy

17
Sample processing
Traditional methods
  • The use of inadequate conversion factors relating
    organism dimensions or volume to other biomass
    indicators (dry weight, organic C and N, etc.)
    remains a source of error.

18
Sample processing
OPC methods
  • Easy to process large quantity samples, we can
    get biomass and size spectra almost
    immediately.
  • It can meet the needs of ecosystem dynamics
    research and for developing models.

19
Sample processing
OPC/LOPC methods
  • We can get size spectrum information, but not the
    species included.
  • It can not distinguish living plankton from
    detritus and other particles.

20
Sample processing
OPC/LOPC methods
  • Traditional methods can be used to calibrate the
    OPC information and estimate the dominant species
    and main function groups.
  • It is more useful for simple cold water
    ecosystems than in complex warm water
    ecosystems.

21
Sample processing
Image analysis methods
  • A simple, non-destructive method that allows
    reliable estimates of biomass (individual
    numbers, zooplankton biovolume, volume-class
    distribution and organic C and N) to be obtained
    from preserved zooplankton samples.
  • Avoids most of the variability sources due to
    sample manipulation when measuring zooplankton
    volume displacement, or to the presence of
    particulate material other than zooplankton.
  • M. Alcaraz et al, 2003

22
Sample processing
Image analysis methods
  • Image analysis used to estimate individual
    volume. Digital images of aliquots of zooplankton
    samples, captured with a CCD camera attached to a
    stereomicroscope (A), are with grey-scale
    threshold (B). The images are numbered, and the
    major and minor axis of ellipses of the same area
    as the corresponding shadows (projections) of
    the organisms are automatically calculated (C),
    and thus the corresponding volumes of the
    revolution ellipsoids (D). Finally, the
    individual volumes are sorted into the
    corresponding volume-class octave. The individual
    volumes are integrated, and the sample volume
    (mm3 m)3) is related to the C and N contents of
    parallel triplicate aliquots
  • M. Alcaraz et al, 2003

23
Sample processing
Image analysis methods
  • It can provide reliable estimations of the
    numbers, individual and integrated volume, and
    distribution into volume classes and fresh C and
    N zooplankton composition from the image analysis
    of formalin-preserved zooplankton samples.
  • The image analysis is absolutely selective, so
    that the interference of alien particulate
    material (i.e. detritus, phytoplankton, etc.) can
    easily be avoided.
  • M. Alcaraz et al, 2003

24
Sample processing
Image analysis methods
  • Some new technology and software have been
    developed to identify species automatically by
    computer.
  • The software is still experimental and has not
    been much tested with real end-users or with the
    analyses of large amount of samples.

25
Sample processing
DNA-Barcoding method
  • Enable the discrimination of closely allied
    species.
  • Easy to record and describe the known species.
  • It can be applied where traditional methods are
    problematical, for instance identification of
    eggs and immature forms, and analysis of stomach
    contents or excreta to determine food webs.

26
Sample processing
DNA-Barcoding method
  • Only species composition, no quantity
    information.
  • It is hard to process large quantity of samples.
  • There is no suitable DNA Barcoding data base that
    can be employed at present.

27
Sample processing
Protocol suggestion
  • To meet the need for quick and real time
    information of biomass, dominant size group, the
    OPC can be used first. It is a fast way to get
    information and can be used for fresh samples and
    on board ship.
  • The image analysis methods can be used to
    calibrate the OPC data as it can distinguish
    between detritus and plankton.

28
Sample processing
Protocol suggestion
  • Take images using a digital camera and microscope
    for identification of species and calibrate the
    size groups.
  • Identify the species that cant be recognized by
    images under microscope.
  • Use the DNA Barcoding method to identify
    zooplankton younger stages, eggs and closely
    allied species.
  • Integrate all the information.

29
What we should be concerned about
  • How to take samples.
  • The new technologies should be integrated with
    sampling methods.

30
What is the best way?
31
What is the best way?
32
What is the best way?
33
What is the best way?
34
How to do it?
  • Different country, different region have
    different problem, the most important is to get
    the valuable plankton information, they can
    choose one of the methods that fit their
    situation, but it must be a standard method and
    the data can be comparable.

35
Thank you!
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