- Kedong Yin (Australia) and Hans Paerl (USA)
- Other Full Members
- Susan Blackburn (Australia), Jacob Carstensen (Denmark), James Cloern (USA), Paul Harrison (Canada), Ruixiang Li (China-Beijing), Abigail McQuatters-Gollop (UK), Todd O'Brien (USA), Clarisse Odebrecht (Brazil), N. Ramaiah (India), Katja Philippart (Netherlands), and Adriana Zingone (Italy)
- 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), and Sinjae Yoo (Korea)
- Terms of Reference
Identify existing long time series of phytoplankton data in coastal oceans around the world
Facilitate migration of individual data sets to a permanent and secure electronic archive. (Requirements for development of a fully stocked phytoplankton database greatly exceed the resources of this WG. However, we expect to produce a small working prototype, based on the existing archive (to be identified) to demonstrate the value of sharing data through an international database.)
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 trade-off (i.e., information gain vs. processing effort).
Based on the above, develop priorities and recommendations for future monitoring efforts and for more detailed re-analysis of existing data sets.
Carry out a global comparison of phytoplankton time series using (in parallel) a diverse suite of numerical methods. We will examine (a) 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; and 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.
- October 2009
- Financial Sponsors
- NSF, SCOR, IGBP
18-22 October 2010 in Hangzhou, China
26-30 September 2011 in Naples, Italy
12-14 October 2012 in Hiroshima, Japan
2-4 November 2013 in San Diego, California, USA
3-7 November 2014 in Zhuhai, China
- Group Website