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Phytoplankton spring bloom biomass in the Gulf of Finland, Northern Baltic Proper and Arkona Basin in 2007

 

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Authors: Vivi Fleming-Lehtinen and Seppo Kaitala

 

Key message

angry.gifThe spring bloom was higher in 2007 than in the previous year in the Gulf of Finland, the Northern Baltic Proper and Arkona Basin.

 

smile.gif No rising trend can be detected from 1992 to 2007 in the Gulf of Finland, the Northern Baltic Proper or the Arkona Basin.

 

 

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Fig. 1: Development of the spring bloom intensity from 1992 to 2007 in Arkona Basin (AB), the northern Baltic Proper (NB) and the western Gulf of Finland (GOF).



Results and assessment

Environmental context

Chlorophyll a concentration is a relative measure of phytoplankton biomass in the water. Since high nutrient concentrations increase phytoplankton growth and subsequently the intensity and frequency of blooms, chlorophyll a can be used as an indicator of the eutrophication in a sea basin.

The intensity of the spring bloom reflects the scale of the nutrient reserves. The spring bloom species of diatoms and dinoflagellates consume most of the phosphorus and nitrogen nutrients that were built up in the water mass during the previous winter.

Policy relevance

The availability of nutrients regulates the primary production and biomass of planktonic algae and the nutrient ratio of the main nutrients nitrogen and phosphorus largely determines which species can proliferate. The eutrophication of the Baltic Sea is still accelerated by the diffuse loading of nutrients from the whole drainage area from scattered housing, agriculture, aquaculture and from traffic.

The spring bloom estimate for the Western Gulf of Finland

The spring bloom intensity index in 2007 was close to the ten-year average (1997-2006) (Fig. 1), but higher than the previous year, as a result of both a longer and higher bloom period (Fig. 2, Appendix 1). The bloom started more than a week earlier than in the previous year, the starting date being close to average.

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Fig. 2: The seven-day running average chlorophyll a curve in 2007 in the western Gulf of Finland (green). Pink ‘area’ illustrates the intensity index of the spring bloom, the spring bloom threshold is shown with a solid black line. Also the peak and length of bloom are presented.

 

The spring bloom estimate for the Northern Baltic Proper

The 2007 spring bloom intensity index was higher than the previous year and the long time average (Fig. 1, Fig. 3). The spring bloom starting date was close to average, and slightly later than in the Gulf of Finland (Appendix 1).

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Fig. 3: The seven-day running average chlorophyll a curve in 2007 in the northern Baltic Proper (green). Pink ‘area’ illustrates the intensity of the spring bloom, which is calculated as the intensity index; the spring bloom threshold is shown with a solid black line. Also the peak and length of bloom are presented.



The spring bloom estimate for the Arkona Sea

There was a slight rise in chlorophyll a in the Arkona Sea in late March – early April, not exceeding the spring bloom threshold. This was followed by a decrease and a subsequent later bloom period, peaking to over 8 µg/l and considered as the spring bloom (Fig. 4, Appendix 1). Due to the early phytoplankton increase not included in the spring bloom intensity estimate, the bloom starting date was estimated to be considerably later than average.

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Fig. 4: The seven-day running average chlorophyll a curve in 2007 in the Arkona Basin (green). The intensity index is presented, and the spring bloom threshold is shown with a solid black line. 


References

Fleming, V. & Kaitala, S. 2007. Phytoplankton spring bloom intensity index for the Baltic Sea estimated for the years 1992 to 2004. Hydrobiologia 554, 57-65.

 

Metadata

Technical information

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Fig. 5: A map of the Baltic Sea. The ship route is shown with a broken line and the study areas are shadowed.
1. Source: Finnish Institute of Marine Research, contact persons Vivi Fleming-Lehtinen and Seppo Kaitala.

2. Description of data:
Original unit of measure: mg chl a m-3
Original purpose of the data: Phytoplankton monitoring of FIMR, Alg@line project

3. Geographical coverage: Gulf of Finland, Archipelago and Åland Sea, the Baltic Proper (Fig. 5).

4. Temporal coverage: 1992-2007.

5. Methodology and frequency of data collection: Automated flow-through sampling system on merchant ships, sampling depth ca. 5 m, fluorescence measurements every 100 to 300 meters during the period February/March to October/November. The fluorescence is calibrated to chlorophyll a using the weekly chlorophyll a samples. Interpolation of calibration constant is used in order to calibrate measurements also for the transects not taking water samples.

6. Methodology of data manipulation: The spring bloom is estimated setting a chlorophyll a threshold level of 5 µg/l for the beginning and end of the bloom. The intensity index is calculated by integrating the ‘area’ under the chlorophyll seven-day average curve (pink area in figures 2 to 5). Also the length, peak and mean chlorophyll a level during the bloom are calculated.

Special cases:
If the chlorophyll a value decreases below the threshold in the middle of the bloom, the bloom is regarded to consist of two separate periods. Thus the intensity index and the length of the bloom is calculated using only the periods exceeding the threshold (Fig. 6a).

If the spring bloom does not exceed the threshold, the intensity index is zero, as well as the length, peak and mean values (Fig 6b).

If the data does not cover the beginning of the bloom (data collection has started too late), the calculated intensity index as well as length and mean values are smaller than in reality (Fig 6c). In appendix 1 these years are marked with an asterisk.

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Fig. 6: The seven-day running average chlorophyll a curve (green), with spring bloom intensity index highlighted (pink area). a) A case where the spring bloom consists of two periods b) a case where spring bloom chlorophyll a level does not exceed the threshold c) a case where the data does not cover the beginning of the bloom. Click images to enlarge!

 

Quality information

7. Strength and weakness (at data level):

Strength: Very high both temporal and spatial sampling frequency. Weaknesses: 1. The flow through chlorophyll a is not as accurate as measured directly from water samples, due to the fluorescence calibration method. 2. During some years data collection starts too late to cover the beginning of the spring bloom in the Southern Baltic; this is inevitable since sometimes the Gulf of Finland is still covered with ice at the start of the Southern Baltic spring bloom.

8. Reliability, accuracy, precision, robustness (at data level):

Measurement uncertainty: Chl a: 1 µg/l l if the concentration < 5.0 µg/l, 2.0 µg/l if the concentration > 10.0 µg/l.

9. Further work required (for data level and indicator level):

During some years the data collection started too late to cover the beginning of the spring bloom, due to ice in the Northern Baltic. In further development of the method one could take into account the missing data, possibly by approximating a starting date using information of the progress and beginning of bloom during previous years.

 

Appendix

Table 1: The spring bloom estimates for Arkona Basin (AB), the northern Baltic Proper (NB) and the western Gulf of Finland (GOF) from 1992 to 2007. Estimates: spring bloom intensity index, mean chl a during bloom, length of bloom, highest peak of the bloom and the starting day of the bloom. Years in which data have not covered the beginning of the bloom are marked with an asterisk.

 

Sea-areaYearIndexMean (ug/l)Length (days)Peak (ug/l)Start day
Arkona Basin2007736.7118.19-May
200600
200500
20041086.0186.825-March
2003*3078.33713.411-March
20021737.92210.922-March
2001*1527.2218.619-March
2000*2026.7309.727-March
1999*2417.83114.810-April
1998996.6157.621-March
199700
19961976.0338.910-April
19952287.13210.426-March
19941437.2208.929-March
19931317.7179.723-March
199200
Northern Baltic Proper20074158.74812.56-April
20062289.12512.06-April
20053007.54012.930-March
20042208.12711.22-April
20035229.35614.53-March
20023039.53213.24-April
200145111.34017.327-March
20002969.93013.69-April
1999*36711.83115.111-April
19982878.23514.422-March
19971406.1237.525-April
19964779.05317.15-April
19953758.74312.615-April
19942948.23612.713-April
199330710.23015.014-April
19922776.9409.210-April
Western Gulf of Finland200772612.75726.028-March
2006443133519.48-april
2005101616.96032.826-April
20047229.37816.227-Feb
2003*106014.57328.812-March
200257612.84521.83-April
200183916.15233.919-March
200041310.93815.46-April
1999*55113.14220.012-April
19985089.15618.421-March
19972418.32912.820-April
199675512.26224.88-April
199575913.55625.48-April
199471011.46219.031-March
199365212.85125.411-April
199263813.34824.51-April

 

For reference purposes, please cite this indicator fact sheet as follows:

[Author’s name(s)], [Year]. [Indicator Fact Sheet title]. HELCOM Indicator Fact Sheets 2007. Online. [Date Viewed], http://www.helcom.fi/environment2/ifs/en_GB/cover/.

Last updated: 24.10.2007