Download presentation
Presentation is loading. Please wait.
1
ECOSTAT, Bristol Hotel, Brussels,
Progress on Intercalibration COAST GIGs ECOSTAT, Bristol Hotel, Brussels, 12-13 October 2006 Dave Jowett, Coast Group Chair and NE Atlantic GIG Co-ordinator
3
Results schedule - Codes
Results agreed September 2006 Results agreed June 2007 Results agreed AFTER June 2007 Metric/Method not applicable in MS or type
4
Summary of outputs 2006/7 Baltic
5
PL(1) DK(1), PL(1) Phytoplankton: Chlorophyll a Eutrophication CW B14 Salinity 6-22,sheltered, shallow lagoons EE(1), LV(1), PL(1) DK(1), LT(1 CW), LT (1 TW), PL(1) Benthic Fauna: National indices CW B13 Salinity 6-22, exposed, shallow DE(2), DK(2), EE(1), SE(1) Angiosperms: Eelgrass depth limit (DK + DE) CW B12 Salinity 6-22, sheltered, shallow FI(2) FI(2), SE(2) Macro algae: Depth limit Fucus CW B3 Salinity 3-6, sheltered, shallow, ice days FI (2), SE (2) CW B2 Salinity 3-6, sheltered, shallow, >150 ice days SE(2) FI (1), SE(1) CW B0 Salinity 0.5-3, sheltered, shallow, >150 ice days Countries involved (number of sites) Quality element Pressure Type
6
Intercalibration approach Phytoplankton
Common metric: Summer mean of chlorophyll a from May/June to September. Intercalibration was performed by comparison of the results from the national assessment. b) Relation between TN conc and Chl. A konc. A data set (summer mean of chlorophyll a from May/June to September) from most member states participating in the Baltic GIG has been compiled and an overall relation between chl. a and TN established ( in process).
8
Boundaries Chlorophyll a, g/l
*Baltic GIG – summer mean May/June – September **NEA GIG – summer mean 90percentile March - September < 0.5 3** - 1,5** < 1.5** <1.5** NEA 8 Denmark Sweden Norway 0.56 1.6 0.82 1.1 0.9 Baltic B 14 0.63 0.58 0.74 1.9* 0,80 0,93 1.5* 1.1* 1.2* < 1.1* 1.4* Baltic B 12 Germany 0.75 1.6* 0,92 1.3* Baltic B 13 0.62 & 0.38 0.67 & 0.69 2.9 & 4.0 * 1.8 & 1.9 * 0,82 & 0,58 0.80 & 0,81 2.2 & 2.6 * 1.5 & 1.6 * 1.5 & 1.8* 1.2 & 1.3* Baltic B 3 Finland 0.54 0.61 2.6* 2.3* 0,78 1.8* Baltic B 2 0.48 0.52, 0.55 & 0.61 2.7* 2.0 & 2.3* 0,72 0.67, 0.73 & 0.78 1.1, 1.2 & 1.4* Baltic B 0 Good/Moderate (EQR) Boundary Good/Moderate µg/l High/Good (EQR) Reference conditions GIG Type Country
9
Intercalibration approach Benthic fauna
Intercalibration was performed in three steps: comparison of species sensitivity classifications comparison of indices comparison of classification of water bodies based on national methods for assessment
11
Boundaries - Benthic Fauna
12
Intercalibration approach Macro algae
Reference levels for the benthic vegetation indicator have been set using: historical data, old literature best available expert judgement The class borders are based on expert judgement.
13
Boundaries Macroalgae - Fucus depth limit, m.
14
Intercalibration approach Angiosperms
Angiosperms: Hybrid between option 2 and 3. Bilaterally between Denmark and Germany Reference levels are based on historical data, expert judgment and modeling. Two approaches have been used for classification: percent deviation (3 scenarios) 15%, 20% and 25 % 2) modeling - dose-response relationships between physico- chemical variables (nutrient concentration, transparency) and vegetation metrics.
15
Boundaries Angiosperms - Eelgrass depth limit, m.
16
Baltic - Summary Some results now in all quality elements
Not all countries completed in any type/QE matrix More results expected by June 2007 Will be some gaps - e.g. Latvia?
17
Summary of outputs 2006/7 Black Sea
18
Black Sea - Draft Boundaries
e.g. Phytoplankton biomass Bulgaria Romania
19
Black Sea - Draft Boundaries
e.g. benthic invertebrates - diversity Bulgaria Romania
20
Black Sea - Next Steps National boundaries are being developed for phytoplankton and benthic invertebrates These are not that far apart Agreement needed on standard sampling and analytical methodologies Results ARE possible for June 2007 A workplan is in place - post GIG meeting Varna September 2006
21
Summary of outputs 2006/7 Mediterranean
22
BENTHIC INVERTEBRATE FAUNA
QE 2: Benthic Invertebrate Fauna Assessment Method Status EQR setting? Cyprus Bentix C yes France Multimetric approach (AMBI, Shannon Diversity, BQI Trophic In.) D no Greece Italy AMBI with factor analysis Spain - Catalunya Multivariate analysis Spain- Balearic is. Italy needs additional data France has just started collecting data Slovenia will produce data in the near future Croatia is willing to participate
23
BENTHIC INVERTEBRATE FAUNA CONCLUSIONS
Collect additional data Consider different subregions, for different habitats (e.g. muddy/sandy bottoms) in the Mediterranean Need of standardized methods Reference Conditions There is no common view/agreement on RC: some MS have identified existing reference sites/conditions, others consider virtual reference conditions. Needs to consider different sub-regions and differences in the reference values for different habitats (e.g. muddy/sandy bottoms, within each typology). Boundaries setting Only Greece and Cyprus have already completed the BSP, no common agreement has been achieved by others.
24
PHYTOPLANKTON CONCLUSIONS
Reference Conditions Reference conditions will be different according to different water types (two or more coastal types significant for phytoplankton are under development) Sites at high status, based on expert judgement and data on pressures, will be considered. Boundaries setting No clear correlation between pressures and chl a was found: so class boundaries could not be defined by discontinuities in the pressure vs. chl a diagram. Procedure for setting the H/G boundary has been agreed upon. The boundary between H and G will be set according to the 90th percentile for chl a data.
25
Tentative classification systems are under development in some MS:
PHYTOPLANKTON More: Tentative classification systems are under development in some MS: Ex: Spain (Catalunia) (Vila et al, 2005) Freq. (%) >70 X>6 Bad 25 < Freq. (%)≤ 70 4<X≤ 6 Poor 15 <Freq. (%)≤ 25 2<X≤ 4 Moderate 2 < Freq. (%)≤ 15 1<X≤ 2 Good Freq. (%)≤ 2 X ≤1 High Freq. HA (%) Chl a-mean Status chl a concentration define algal blooms link their occurrence with Chl a concentration
26
Summary of outputs 2006/7 Mediterranean
27
AQUATIC FLORA: Macroalgae CONCLUSIONS
- IC was completed between the 2 classification methods (EEI and BENTHOS-CARLIT), that Greece and Spain proposed. - Italy and France agreed on the possibilities to apply them on their coastal waters (present or future available data) - Common agreement on the use of these 2 methods for all MED-GIG Reference Conditions Reference sites have been identified according to the low pressures and impacts they receive. In both methods (EEI and BENTHOS/CARLIT) the reference conditions are real sites (existing) Boundaries setting Boundaries are set according to expert judgement and/or combined with the results of multivariate analysis. No statistical analysis exclusively to set boundaries. No discontinuities. Continuum of possibilities with gradual disappearance/appearance of different indicator species
28
AQUATIC FLORA- Angiosperms: Posidonia oceanica
CONCLUSIONS Reference Conditions Common view on RC: RC are type independent RC are defined at sub-ecoregional level (east/west, insularity,…) RC are depth dependant (shallow & deep meadows ) and for some metrics seasonality has to be considered RC have been defined with: existing sites, where pristine areas are present (ex: PosWare) virtual sites, using the best existing values for each parameter (ex: POMI) Boundaries setting No agreement could be reached concerning the BSP. Common agreement only on the Good / Moderate Boundary: through a joint exercise of EQR comparison for this boundary. Preliminary EQR of 0.55 agreed. No further agreement about other class boundaries
29
MED-GIG CONCLUSIONS - Classification approches at BQEs level: not yet integrated approach Large amount of data but not for all BQEs and all countries Most promising BQEe for MED-GIG: macroalgae and angiosperms Need of continuation of the IC exercise - Resources (?!) PHYTOPLANKTON 1 commom metric tentative data analysis on establishment of main water types (vertical stability) ANGIOSPERMS: P. oceanica special case: 1 species many methods different metrics Agreements: - different RC (sub-ecoregional) - G/M boundary MACROINVERTEBR 3 classification methods Problems: - data lack - comparability No agreements among participants MACROALGAE 2 classification methods IC: ok Agreement on: - RC - species ecological values
30
Mediterranean - Summary
No FINAL results now Some results in all quality elements by June 2007 Major gap will be benthic inverts where only CY/GR expect to complete Phytoplankton (chlorophyll) and angiosperms (Posidonia) most promising Further work definitely needed after June 2007 and resources still be big issue
31
Summary of outputs 2006/7 North East Atlantic
32
Setting of Boundaries e.g. Benthic Invertebrates
33
National boundaries - Benthic Invertebrates
NEA1/26 NEA8/9/10
34
Fish - Method Comparison
35
Fish - Boundaries
36
Chlorophyll - Regional Boundaries
37
Chlorophyll - Thresholds based on freshwater influx - correlation
38
Example of Regional boundaries within a type - chlorophyll
39
Summary of outputs 2006/7 North East Atlantic
40
Indicator Taxa - Phaeocystis cells > 106 per litre
41
Indicator Taxa - Phaeocystis cells > 106 per litre - sampling
42
Single Taxa - cells > 105 per litre
43
Summary of outputs 2006/7 North East Atlantic
44
Macroalgae - Perennial Intertidal algae
45
Macroalgae - Perennial Intertidal algae
46
Macroalgae - Opportunistic macroalgae
47
Summary of outputs 2006/7 North East Atlantic
48
Angiosperms - Intertidal Seagrass
49
Angiosperms - Intertidal Seagrass
50
NE Atlantic - Summary Only results agreed now are for benthic invertebrates Many more results expected by June 2007 e.g. phytoplankton There will still be some gaps - particular problem is Transitional Waters More work needed after June 2007 on these gaps plus other metrics and habitats
51
ISSUES Calculation of EQRs - how are they calculated? Common approach needed? One out all out - QE level or metric level? QE with little data - does this have same weight in final classification? Can small waterbodies be classified differently from type area?
52
ISSUES Large waterbodies classification
Monitoring and assessment methods - documentation and harmonization Monitoring in 2007/8 and first status evaluation - use of “old” data - what is the historic limit? Physico-chemical and hydromorphological QEs
53
THANK YOU FOR YOUR ATTENTON!
END THANK YOU FOR YOUR ATTENTON!
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.