SCOR WG 125 on Global Comparisons
of Zooplankton Time Series
Co-Chairs: David Mackas (Canada) and Hans Verheye (South Africa)
| Full Members |
Associate Members |
| Patricia Ayon (Peru) |
Alyona Arashkevich (Russia) |
| Sanae Chiba (Japan) |
Hal Batchelder (USA) |
| Young-Shil Kang (Korea) |
David Checkley (USA) |
| Todd O’Brien (USA) | Martin Edwards (UK) |
| Mark Ohman (USA) | Juha Flinkman (Finland) |
| Chris Reason (South Africa) |
A. Lopez-Urrutia (Spain) |
| Anthony Richardson (Australia) |
Welbjørn Melle (Norway) |
| Andy Solow (USA) | L. Valdes (Spain) |
Financial Sponsors: SCOR, U.S. National Science Foundation,
U.S. National Oceanic and Atmospheric Administration, GLOBEC,
ICES, PICES, SAHFOS
Date Approved: September 2004
Terms of Reference
- Identify and consolidate a globally representative set of “long
zooplankton time series” (selected from the data sets listed in Table 1,
plus perhaps from additional regions for which time series can be pieced
together from a sequence of shorter programs).
- Facilitate migration of individual data sets to a permanent and
secure electronic archive.
- Develop and share protocols for within-region and within-time period
data summarization (e.g., spatial, seasonal and annual averaging,
summation within taxonomic and age categories).
- Based on the above, develop priorities and recommendations for
future monitoring efforts and for more detailed re-analysis of existing
sample archives.
- Carry out a global comparison of zooplankton time series using (in
parallel) a diverse suite of numerical methods, examining
1. Synchronies in timing of major fluctuations, of whatever
form.
2. Correlation structure (scale and spatial pattern) for
particular modes of zooplankton variability (e.g. changes in total
biomass, replacement of crustacean by gelatinous taxa, alongshore or
cross-shore displacements of zoogeographic distribution
boundaries).
3. Amplitude of variability, both for total biomass
and for individual taxa, and comparison to the amplitude of population
fluctuations of predator species (fishes, seabirds, marine mammals).
Is there amplification at higher levels of the food web?
4. Likely
causal mechanisms and consequences for the zooplankton variability,
based on spatial and temporal coherence with environmental and fishery
time series.
5. Sensitivity and specificity of data-analysis tools.
Meetings:
#1--November 7-10, 2005
Silver Spring, Maryland,
USA Group Web site: http://wg125.net/
Questions or Comments?
Please
contact SCOR.
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