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Interim report of the HELCOM CORESET project

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190<br />

Notes for <strong>the</strong> GES boundary<br />

The copepod biomass is an indicator <strong>of</strong> fi sh feeding conditions and, accordingly, <strong>the</strong> reference period is<br />

selected on <strong>the</strong> basis <strong>of</strong> <strong>the</strong> fi sh growth status. As we know, moderate eutrophication is actually benefi cial<br />

for fi sh nutrition, and <strong>the</strong>refore, it is not surprising that highest growth <strong>of</strong> zooplanktivorous fi sh coincides<br />

with some (but not <strong>the</strong> highest!) eutrophication (expressed as Chl a or Secchi depth). It would be against<br />

<strong>the</strong> <strong>the</strong>oretical expectations to observe <strong>the</strong> best feeding conditions in an oligotrophic system.<br />

The example that is used in this example is for a relatively pristine area (Askö) and in 1980-ties <strong>the</strong> Secchi<br />

and Chl values were in a better status than in <strong>the</strong> next 20 years. Therefore, <strong>the</strong> highest copepod biomass<br />

did not coincide with <strong>the</strong> heavy eutrophication. One has to remember that all reference periods should be<br />

area-specifi c.<br />

Existing monitoring data<br />

Zooplankton data required for this analysis are collected on a regular basis within national and <strong>HELCOM</strong><br />

monitoring programs. Laboratories that follow <strong>HELCOM</strong> methodology for sampling and sample analysis,<br />

should possess all data necessary for indicator development and use. Depending on <strong>the</strong> sampling frequency,<br />

a specifi c period for zooplankton stocks should be considered and used consistently; this period<br />

may vary between different areas/countries/laboratories, because sampling frequency is not uniform.<br />

Unfortunately, in some areas, sampling coverage is low and not all sea areas are equally well represented<br />

(see also Weaknesses and Concerns).<br />

Data interpretation<br />

A dialogue with experts (and data holders) responsible for establishing GES values for eutrophication and<br />

fi sh stocks would greatly facilitate selection <strong>of</strong> <strong>the</strong> reference periods for zooplankton indicators and estimating<br />

GES boundaries.<br />

Although <strong>the</strong> empirical relationships between zooplankton abundance and eutrophication status are common<br />

in scientifi c literature, <strong>the</strong> underlying mechanisms are not well understood. For zooplankton indices to have<br />

relevance to management, it is necessary to postulate and test (through research and/or data analysis) hypo<strong>the</strong>ses<br />

that explain <strong>the</strong> response <strong>of</strong> zooplankton to water quality. Similarly, it is necessary to identify fi sh species<br />

individually or feeding groups for which <strong>the</strong> zooplankton-as-food indicator is relevant. It is also necessary to<br />

include o<strong>the</strong>r aspects <strong>of</strong> habitat quality, particularly for coastal fi sh, and <strong>the</strong> zooplankton-as-food indicator<br />

can serve as one element in a more comprehensive index <strong>of</strong> habitat condition.<br />

Zooplankton communities include herbivores, predators and omnivores, i.e. organisms with different<br />

trophic roles in <strong>the</strong> food web, but from an ecological viewpoint, all <strong>of</strong> <strong>the</strong>m are intermediate players, i.e.,<br />

subject to bottom-up pressures as well as top-down demand. Therefore, zooplankton information is most<br />

useful within <strong>the</strong> framework <strong>of</strong> a broader, multi-trophic-level monitoring providing indicators <strong>of</strong> ecosystem<br />

functioning (i.e., MSFD Descriptor 4).<br />

Weaknesses and concerns<br />

Presently, we do not have a good overview on south-north and east-west variability in zooplankton community<br />

structure, population stocks and seasonal fl uctuations in <strong>the</strong> Baltic Sea. This complicates development<br />

<strong>of</strong> indicators applicable in different areas and may fur<strong>the</strong>r hamper between-area comparisons;<br />

Due to difference in zooplankton compositions between <strong>the</strong> Baltic Sea areas, some modifi cations may be<br />

required for taxa composition in each specifi c indicator;<br />

Data are generally noisy, owing to multiple factors affecting zooplankton growth and mortality;

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