Use%20of%20regularly%20migrating%20non-biological%20platforms%20as%20vehicles%20for%20spatio-temporal%20sampling%20of%20Southern%20Ocean%20systems - PowerPoint PPT Presentation

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Use%20of%20regularly%20migrating%20non-biological%20platforms%20as%20vehicles%20for%20spatio-temporal%20sampling%20of%20Southern%20Ocean%20systems

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Title: Use%20of%20regularly%20migrating%20non-biological%20platforms%20as%20vehicles%20for%20spatio-temporal%20sampling%20of%20Southern%20Ocean%20systems


1
Use of regularly migrating non-biological
platforms as vehicles for spatio-temporal
sampling of Southern Ocean systems
Simon Wright, Brian Griffiths, Bronte
Tilbrook,Steve Rintoul, Alain Poisson
2
26 Feb 2003
25 Jan 2003
10 Feb 2003
3
How to model microbial populations?
  • Recognize different types of communities
  • Key species and associations
  • When and where do they occur?
  • Time of season
  • Oceanographic conditions
  • MLD, nutrients, ice, etc
  • Parameterize the community properties
  • Primary production, respiration
  • Aggregation
  • Sedimentation
  • Size distribution

4
  • What would a Southern Ocean Observing System look
    like?

5
Regularly Migrating Non-Biological Platforms
(RMNBPs)
Seagoing Hydro-Investigative Platforms (SHIPs)
6
Aurora Australis
LAstrolabe
7
Programmable Ecological Observing Package (Live
Elements)
(PEOPLE)
8
Three pronged approach
  • Monitoring on repeat transects lAstrolabe
  • Intensive oceanographic surveys Aurora
    Australis
  • Process studies in minicosms
  • Coupled with laboratory experiments

9
Aurora Australis
10
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11
ASF
Pycnocline
Tmin
12
ASF
Pycnocline
Tmin
13
Disadvantage of Aurora Australis erratic
migratory route
14
Three pronged approach
  • Monitoring on repeat transects lAstrolabe
  • Intensive oceanographic surveys Aurora
    Australis
  • Process studies in minicosms
  • Coupled with laboratory experiments

15
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16
Sokolov Rintoul 2002
Regular monitoring of Hobart - Dumont
dUrville 3 4 repeat transects per season
17
Astrolabe lab in hold
18
Astrolabe lab interior
19
lAstrolabe repeat transects
  • Oceanography
  • XBT sections, nutrients Steve Rintoul, CSIRO
  • alkalinity
  • Alain Poisson IPEV, Paris
  • Phytoplankton
  • Chlorophyll fluorometry , FRRF
  • Brian Griffiths, CSIRO
  • HPLC pigments, Species ID and counts (whole and
    net), coccolithophorid counts
  • Australian Antarctic Division
  • Carbon dioxide pCO2
  • Bronte Tilbrook, CSIRO

20
Astrolabe 2002/03
CO2 drawdown
Chlorophyll a
21
Astrolabe 2002/03
CO2 drawdown
Chlorophyll a
22
Oct Nov Dec
Jan Feb Mar
23
Date of bloom at mid latitude (53- 60ºS)
Season Bloom peak
1997-98 3 Dec
1998-99 19 Dec
1999-00 01 Jan
2000-01 09 Jan
2001-02 25 Jan
2002-03 10 Feb
2003-04 10 Jan
2004-05 15 Dec
24
Oct Nov Dec
Jan Feb
Mar
25
Oct Nov Dec
Jan Feb
Mar
26
Bloom dynamics at mid latitude (53- 60ºS)
  • 2002 - 2003
  • Bloom in Feb
  • about 1 ug Chl a/ L
  • Dominant species
  • F. kerguelensis, Phaeocystis, Trichotoxon,
    Thalassiothrix, Pseudonitzschia
  • 2003 2004, 2004 2005 (Typical)
  • Bloom in Dec - Jan
  • about 0.8 - 1 ug Chl a/ L
  • Dominant species
  • F. kerguelensis, Pseudonitzschia, Trichotoxon,
    Chaetoceros dichaeta

27
Oct Nov Dec Jan Feb Mar
Oct Nov Dec Jan Feb Mar
28
Oct Nov Dec Jan Feb Mar
Oct Nov Dec Jan Feb Mar
29
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32
Bloom dynamics at mid latitude (53- 60ºS)
  • The late bloom in 2002-2003 was associated with
    relatively warm, very low salinity water
  • This water had low nutrient concentrations.
  • A bloom developed only after nutrient
    concentrations increased

33
Conclusions
  • Regular sampling of Southern Ocean from
    lAstrolabe identified seasonal patterns in
    microbial populations
  • relationship to carbon dioxide uptake
  • Relationship to nutrient drawdown
  • Substantial interannual differences in bloom
    dynamics appeared to be driven by seawater
    chemistry
  • An anomalous late bloom developed only after
    nutrient concentrations increased in a large area
    of warm low salinity water.

A small subset of total data made possible by
repeated sampling of many parameters in a
collaborative program
34
lAstrolabe repeat transects
  • Organization
  • Alain Poisson IPEV, Paris
  • Bronte Tilbrook, CSIRO
  • Acknowledgements
  • Captain and crew S.V. lAstrolabe
  • Many volunteer samplers

35
What should a SOOS look like?
  • Regular transects along the same transect

36
What should a SOOS look like?
  • Oceanography
  • Thermosalinograph
  • XBT sections, nutrients
  • Alkalinity
  • Carbon dioxide pCO2
  • Atmospheric
  • Carbon dioxide, oxygen, DMS
  • Dust
  • Environment
  • Temperature, radiation, wind speed, wave height,
    ice
  • Plankton
  • Chlorophyll fluorometry, FRRF
  • HPLC pigments, Species ID and counts (whole and
    net)
  • Continuous plankton recorder
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