SCOR WG 137 on
Patterns of Phytoplankton
Dynamics in Coastal Ecosystems:
Comparative Analysis of Time
Series Observation
Co-Chairs:
Kedong Yin
(Australia)
and
Hans Paerl
(USA)
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Other Full Members
Susan
Blackburn (Australia)
Jacob
Carstensen (Denmark)
James
Cloern (USA)
Paul
Harrison (China-Beijing)
Ruixiang
Li (China-Beijing)
Abigail
McQuatters-Gollop (UK)
Todd
O'Brien (USA)
Clarisse
Odebrecht (Brazil)
N.
Ramaiah (India)
Katja
Philippart (Netherlands)
Adriana
Zingone (Italy)
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Associate Members
Richard
Gowen (UK)
Alan
Jassby (USA)
Hans
Jakobsen (Denmark)
Jormal
Kuparinen (Finland)
Robert Le
Borgne (New Caledonia)
Juha-Markku Leppänen (Finland)
Thomas
Malone (USA)
Snejana
Moncheva (Bulgaria)
Xosé
Anxelu G. Morán (Spain)
Grant
Pitcher (South Africa)
Theodore
Smayda (USA)
Karen
Wiltshire (Germany)
Sinjae
Yoo (Korea)
Mingyuan
Zhu (China-Beijing)
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Financial Sponsors: NSF, SCOR
Date Approved: October 2009
Terms of Reference
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Identify existing long time series of phytoplankton data in
coastal oceans around the world .
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Facilitate migration
of individual data sets to a permanent and secure electronic archive
(Requirements for development of a fully-stocked phytoplankton data-base
greatly exceed the resources of this WG. However, we expect to produce a
small working proto-type, based on the existing archive (to be identified)
to demonstrate the value of sharing data through an international database.)
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Develop the
methodology for global comparisons for within-region and within-time-period
data summarization (e.g. spatial, seasonal and annual averaging, summation
within taxonomic and functional group categories). The goal is to clarify
what level of detail provides the optimal tradeoff (i.e. information gain
vs. processing effort).
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Based on the above,
develop priorities and recommendations for future monitoring efforts and for
more detailed re-analysis of existing data sets.
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Carry out a global
comparison of phytoplankton time series using (in parallel) a diverse suite
of numerical methods. We will examine:
Synchronies in timing of major fluctuations, of whatever
form.
Correlation structure (scale and spatial pattern) for
particular modes of phytoplankton variability (e.g. changes in total
biomass, species composition shifts, among different geographic
distribution).
Amplitude of variability, both for total biomass and for
individual dominant species, and a comparison to the amplitude of population
fluctuations.
Likely causal mechanisms and consequences for the
phytoplankton variability, based on spatial and temporal coherence with
water quality time series.
Through comparative analysis, we will address the 3
guiding questions.
Meetings:
18-22 October 2010
in
Hangzhou, China
#2: 26-30 September
2010 in Naples, Italy
WG Proposal
Group Web site: http://wg137.net/
Questions or Comments? Please contact SCOR.
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