Commission Decision (EU) 2024/721 of 27 February 2024 establishing, pursuant to Directive 2000/60/EC of the European Parliament and of the Council, the values of the Member State monitoring system classifications as a result of the intercalibration exercise and repealing Commission Decision (EU) 2018/229 (notified under document C(2024) 1113)

Decision (EU) 2024/721 · Decision · 5 articles

Data as of 2026-07-04 · Compiled from an official source version. Later amendments or repeals may not be reflected; the official text prevails. · Read the official text ↗

Article 1

1. For the purpose of Section 1.4.1(iii) of Annex V to Directive 2000/60/EC, Member States shall use in their monitoring and classification systems the values of the boundaries between classes that are set out in Part 1 of Annex 1 to this Decision. 2. Where a comparability assessment for a biological quality element has not been completed within a Geographical Intercalibration Group as set out in Annex 2 to this Decision, Member States shall, for the purpose of Section 1.4.1(iii) of Annex V to Directive 2000/60/EC, use in their monitoring and classification systems the methods and the values of the boundaries between classes that are set out in Part 2 of the Annex 1 to this Decision. 3. Member States may use the methods and the values of the boundaries between classes set out in the Annex 1 to this Decision to establish the good ecological potential of water bodies designated as artificial or heavily modified water bodies in accordance with Article 4(3) of Directive 2000/60/EC.

Article 2

Decision (EU) 2018/229 is repealed.

Article 3

This Decision is addressed to the Member States.

Supplementary provisions

ANNEX 1Supplementary provisions

ANNEX 1 Part 1 of this annex includes the results of the intercalibration exercise for which all steps of the intercalibration process have been fully completed, including their respective boundary values. Part 2 includes national methods and their respective boundary values which are consistent with the normative definition set out in Section 1.2 of Annex V to Directive 2000/60/EC but where they have not been technically feasible to complete the comparability assessment within a Geographical Intercalibration Group due to lack of common types, different pressures addressed or different assessment concepts. Part 3 includes surface water body types (across Member States and Norway) for which a Biological or Sub-Biological Quality element is not applicable on the basis of the justifications provided and accepted. Part 1 Water category Rivers Geographical Intercalibration Group Alpine rivers Description of types that have been intercalibrated Type River characterisation Catchment (km 2 ) Altitude (m a.s.l.) and geomorphology Alkalinity Flow regime R-A1 Pre-Alpine, small to medium, high altitude calcareous 10 – 1 000 800 – 2 500 m (catchment), boulders/cobble High (but not extremely high) alkalinity R-A2 Small to medium, high altitude, siliceous 10 – 1 000 500 – 1 000 m (max. altitude of catchment 3 000 m, mean 1 500 m), boulders Non-calcareous (granite, metamorphic) medium to low alkalinity Nival-glacial flow regime Countries sharing types that have been intercalibrated: Type R-A1 : Austria, France, Germany, Italy, Slovenia Type R-A2 : Austria, France, Italy, Spain ALPINE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Type R-A1 Austria Assessment of the biological quality elements – part benthic invertebrates [Erhebung der biologischen Qualitätselemente – Teil Makrozoobenthos (Detaillierte MZB-Methode)] 0,80 0,60 France Multimetric index based on macroinvertebrate fauna for the ecological assessment of French wadeable rivers (I 2 M 2 ) 0,605 0,354 Germany PERLODES – Bewertungsverfahren von Fließgewässern auf Basis des Makrozoobenthos 0,80 0,60 Italy MacrOper, based on STAR Intercalibration Common Metric Index (STAR_ICMi) 0,97 0,73 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev 0,80 0,60 Type R-A2 Austria Assessment of the biological quality elements – part benthic invertebrates [Erhebung der biologischen Qualitätselemente – Teil Makrozoobenthos (Detaillierte MZB-Methode)] 0,80 0,60 France Multimetric index based on macroinvertebrate fauna for the ecological assessment of French wadeable rivers (I 2 M 2 ) 0,665 0,460 Italy MacrOper, based on STAR Intercalibration Common Metric Index (STAR_ICMi) 0,95 0,71 Spain Iberian BMWP (IBMWP) 0,83 0,53 ALPINE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods intercalibrated Type and country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Type R-A1 Austria Assessment of the biological quality elements – part phytobenthos [Leitfaden zur Erhebung der biologischen Qualitätselemente, Teil A3 – Fließgewässer/Phytobenthos] 0,89 0,71 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF-T-90-354, December 2007. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface 0,94 0,78 Germany Verfahrensanleitung für die ökologische Bewertung von Fließgewässern zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Diatomeen 0,735 0,54 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) 0,87 0,70 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos 0,80 0,60 Type R-A2 Austria Assessment of the biological quality elements – part phytobenthos [Leitfaden zur Erhebung der biologischen Qualitätselemente, Teil A3 – Fließgewässer/Phytobenthos] 0,89 0,71 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF-T-90-354, December 2007. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface 0,94 0,78 Spain IPS (Coste in Cemagref, 1982) 0,94 0,74 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) 0,85 0,64 Water category Rivers Geographical Intercalibration Group Central-Baltic rivers Description of types that have been intercalibrated Type River characterisation Catchment (km 2 ) Altitude and geomorphology Alkalinity (meq/l) R-C1 Small lowland siliceous sand 10 – 100 Lowland, dominated by sandy substrate (small particle size), 3 – 8 m width (bankfull size) > 0,4 R-C2 Small lowland siliceous – rock 10 – 100 Lowland, rock material 3 – 8m width (bankfull size) < 0,4 R-C3 Small mid-altitude siliceous 10 – 100 Mid-altitude, rock (granite) – gravel substrate, 2 – 10 m width (bankfull size) < 0,4 R-C4 Medium lowland mixed 100 – 1 000 Lowland, sandy to gravel substrate, 8 – 25 m width (bankfull size) > 0,4 R-C5 Large lowland mixed 1 000 – 10 000 Lowland, barbel zone, variation in velocity, max. altitude in catchment: 800 m a.s.l., > 25 m width (bankfull size) > 0,4 R-C6 Small, lowland, calcareous 10 – 300 Lowland, gravel substrate (limestone), width 3 – 10 m (bankfull size) > 2 Countries sharing types that have been intercalibrated: Type R-C1 : Belgium (Flanders), Belgium (Wallonia), Denmark, France, Germany, Italy, Lithuania, the Netherlands, Poland, Sweden Type R-C2 : France, Ireland, Spain, Sweden Type R-C3 : Austria, Belgium (Wallonia), Czechia, France, Germany, Luxembourg, Poland, Spain, Sweden Type R-C4 : Belgium (Flanders), Belgium (Wallonia), Czechia, Denmark, Estonia, France, Germany, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Poland, Spain, Sweden Type R-C5 : Belgium (Wallonia), Czechia, Estonia, France, Germany, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Spain, Sweden Type R-C6 : Belgium (Wallonia), Denmark, Estonia, France, Ireland, Italy, Poland, Latvia, Lithuania, Luxembourg, Spain, Sweden CENTRAL-BALTIC RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria Assessment of the biological quality elements – part benthic invertebrates 0,80 0,60 Belgium (Flanders) Multimetric Macroinvertebrate Index Flanders (MMIF) 0,90 0,70 Belgium (Wallonia) Indice Biologique Global Normalisé (IBGN) (Norme AFNOR NF T 90 350, 1992) and Arrêté du Gouvernement wallon du 13 septembre 2012 relatif à l’identification, à la caractérisation et à la fixation des seuils d’état écologique applicables aux masses d’eau de surface et modifiant le Livre II du Code de l’Environnement, contenant le Code de l’Eau. Moniteur belge 12.10.2012 0,94 (type R-C1) 0,97 (types R-C3, R-C5, R-C6) 0,75 (type R-C1) 0,74 (types R-C3, R-C5, R-C6) Czechia Czech system for ecological status assessment of rivers using benthic macroinvertebrates 0,80 0,60 Denmark Danish Stream Fauna Index (DSFI) 1,00 0,71 Estonia Estonian surface water ecological quality assessment – river macroinvertebrates 0,90 0,70 France Multimetric index based on macroinvertebrate fauna for the ecological assessment of French wadeable rivers (I 2 M 2 ) 0,665 0,443 Germany PERLODES – Bewertungsverfahren von Fließgewässern auf Basis des Makrozoobenthos 0,80 0,60 Ireland Quality Rating System (Q-value) 0,85 0,75 Italy MacrOper, based on STAR_ICM index calculation 0,96 0,72 Latvia Latvian Macroinvertebrate Index (LMI) 0,92 0,72 Lithuania Lithuanian River Macroinvertebrate Index 0,80 0,60 Luxembourg Macroinvertebrate-based Multimetric Index (I 2 M 2 ) 0,64 0,45 Netherlands KRW-maatlat 0,80 0,60 Poland RIVECOmacro – MMI_PL 0,91 (type R-C1) 0,72 (type R-C1) Spain METI 0,93 0,70 Spain (Basque country) MBf (Multimetric Basque index family level) 0,91 0,68 Sweden DJ-index (Dahl & Johnson 2004) 0,80 0,60 CENTRAL-BALTIC RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Type Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria AIM for Rivers (Austrian Index Macrophytes for rivers) RC-3 0,875 0,625 Belgium (Flanders) MAFWAT – Flemish macrophyte assessment system R-C1 0,80 0,60 Belgium (Wallonia) IBMR-WL – Biological Macrophyte Index for Rivers (Arrêté du Gouvernement wallon du 13 septembre 2012 relatif à l’identification, à la caractérisation et à la fixation des seuils d’état écologique applicables aux masses d’eau de surface et modifiant le Livre II du Code de l’Environnement, contenant le Code de l’Eau. Moniteur belge 12.10.2012) R-C3 0,925 0,607 Czechia Assessment method of surface running water bodies in Czechia using biological quality element macrophytes R-C3 (national type 1) 0,83 0,67 R-C3 (national type 4) 0,82 0,64 R-C4 0,86 0,62 Denmark DSPI – Danish Stream Plant Index R-C1, R-C4 0,70 0,50 Estonia Estonian Macrophyte Index for Rivers R-C4 0,85 0,65 Germany Verfahrensanleitung für die ökologische Bewertung von Fließgewässern zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Makrophyten R-C1 0,745 0,495 R-C3 0,80 0,55 R-C4 0,575 0,395 Germany NRW-Verfahren zur Bewertung von Fließgewässern mit Makrophyten R-C1, R-C3, R-C4 0,995 0,695 France IBMR – Indice Biologique Macrophytique en Rivière French standard NF T90-395 (2003-10-01) R-C3 0,93 0,79 R-C4 0,905 0,79 Ireland MTR – IE – Mean Trophic Ranking R-C4 0,74 0,62 Italy IBMR – IT – Biological Macrophyte Index for Rivers R-C1 0,90 0,80 R-C4 0,90 0,80 Lithuania Lithuanian River Macrophyte Index R-C4 0,61 0,41 Latvia Latvian assessment method using macrophytes R-C4 0,75 0,55 Luxembourg IBMR – LU – Biological Macrophyte Index for Rivers R-C3, R-C4, R-C5 and R-C6 0,89 0,79 Netherlands Revised assessment method for rivers in The Netherlands using macrophytes R-C1 and R-C4 0,80 0,60 Poland MIR – Macrophyte Index for Rivers R-C1 0,90 0,65 R-C3 0,910 0,684 R-C4 0,90 0,65 CENTRAL-BALTIC RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Type Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria Assessment of the biological quality elements – part Phytobenthos [Leitfaden zur Erhebung der biologischen Qualitätselemente, Teil A3 -Fließgewässer/Phytobenthos] All types, altitude < 500 m 0,64 0,49 All types, altitude > 500 m 0,81 0,53 Belgium (Flanders) Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD) All types 0,80 0,60 Belgium (Wallonia) IPS (Coste, in CEMAGREF, 1982; Lenoir & Coste, 1996 and Arrêté du Gouvernement wallon du 13 septembre 2012 relatif à l’identification, à la caractérisation et à la fixation des seuils d’état écologique applicables aux masses d’eau de surface et modifiant le Livre II du Code de l’Environnement, contenant le Code de l’Eau. Moniteur belge 12.10.2012) All types 0,98 0,73 Czechia Czech assessment method for rivers using phytobenthos R-C3, R-C4, R-C5 0,80 0,63 Denmark Danish index for benthic algae (SID_TID) R-C1, R-C4, R-C6 0,861 0,68 Estonia Indice de Polluosensibilité Spécifique (IPS) All types 0,85 0,70 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF-T-90-354, December 2007. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface All types 0,94 0,78 Germany Verfahrensanleitung für die ökologische Bewertung von Fließgewässern zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Diatomeen R-C1 0,67 0,43 R-C3 0,67 0,43 R-C4 0,61 0,43 R-C5 0,73 0,55 Ireland Revised form of Trophic Diatom Index (TDI) All types 0,93 0,78 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) All types 0,89 0,70 Ireland Revised form of Trophic Diatom Index (TDI) All types 0,93 0,78 Latvia Latvian assessment method using phytobenthos R-C4, R-C5, R-C6 0,70 0,50 Lithuania Lithuanian River Phytobenthos Index R-C1, R-C4, R-C5, R-C6 0,73 0,55 Luxembourg Indice de Polluosensibilité Spécifique (IPS) R-C3, R-C4 (low alkalinity) 0,98 0,78 R-C4 (high alkalinity), R-C5 and R-C6 0,99 0,78 Netherlands KRW Maatlat All types 0,80 0,60 Poland Indeks Okrzemkowy IO dla rzek (Diatom Index for rivers) All types 0,80 0,58 Spain Diatom multimetric (MDIAT) R-C2, R-C3, R-C4 0,93 0,70 Sweden Swedish assessment methods, Swedish EPA regulations (NFS 2008:1) based on Indice de Polluosensibilité Spécifique (IPS) All types 0,89 0,74 Water category Rivers Geographical Intercalibration Group Eastern Continental rivers Description of types that have been intercalibrated Type River characterisation Ecoregion Catchment (km 2 ) Altitude (m a.s.l.) Geology Substrate R-E1a Carpathians: small to medium, mid-altitude 10 10 – 1 000 500 – 800 Mixed R-E1b Carpathians: small to medium, mid-altitude 10 10 – 1 000 200 – 500 Mixed R-E2 Plains: medium-sized, lowland 11 and 12 100 – 1 000 < 200 Mixed Sand and silt R-E3 Plains: large, lowland 11 and 12 > 1 000 < 200 Mixed Sand, silt and gravel R-E4 Plains: medium-sized, mid-altitude 11 and 12 100 – 1 000 200 – 500 Mixed Sand and gravel R-EX4 Large, mid-altitude 10 , 11 and 12 > 1 000 200 – 500 Mixed Gravel and boulder R-EX5 Plains: small lowland 11 and 12 10 – 100 < 200 Mixed Sand and silt R-EX6 Plains: small, mid-altitude 11 and 12 10 – 100 200 – 500 Mixed Gravel R-EX7 Balkan: small, calcareous, mid-altitude 5 10 – 100 200 – 500 Calcareous Gravel R-EX8 Balkan: small to medium-sized, calcareous karst spring 5 10 – 1 000 Calcareous Gravel, sand and silt Countries sharing types that have been intercalibrated: R-E1a : Bulgaria, Czechia, Romania, Slovakia R-E1b : Bulgaria, Czechia, Hungary, Romania, Slovakia R-E2 : Bulgaria, Croatia, Czechia, Hungary, Romania, Slovakia, Slovenia R-E3 : Bulgaria, Croatia, Czechia, Hungary, Romania, Slovakia, Slovenia R-E4 : Austria, Czechia, Bulgaria, Hungary, Romania, Slovakia, Slovenia R-EX4 : Czechia, Romania, Slovakia R-EX5 : Croatia, Hungary, Romania, Slovenia, Slovakia R-EX6 : Croatia, Hungary, Romania, Slovenia R-EX7 : Croatia, Slovenia R-EX8 : Croatia, Slovenia EASTERN CONTINENTAL RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Type Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria Assessment of the biological quality elements – part benthic invertebrates R-E4 0,80 0,60 Bulgaria IBI (BG) (Irish Biotic Index (BG)) R-E1a, R-E1b 0,86 0,67 R-E2, R-E3 0,80 0,60 Croatia Croatian classification method for benthic macroinvertebrates R-E2, R-E3, R-EX5, R-EX6 0,80 0,60 Czechia Czech system for ecological status assessment of rivers using benthic macroinvertebrates R-E1a, R-E1b, R-E2, R-E3 0,80 0,60 Hungary Hungarian Multimetric Macroinvertebrate Index R-E1b, R-E3, R-E4, R-EX5, R-EX6 0,80 0,60 Romania Assessment method for ecological status of water bodies based on macroinvertebrates R-E1a, R-E1b, R-E3, R-EX4 0,80 0,60 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev R-E4, R-EX5, R-EX6 0,80 0,60 Slovakia Slovak assessment of benthic invertebrates in rivers R-E1a, R-E1b, R-E2, R-E3, R-E4, R-EX4 0,80 0,60 EASTERN CONTINENTAL RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Type Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria AIM for Rivers (Austrian Index Macrophytes for rivers) R-E4 0,875 0,625 Bulgaria Reference Index R-E2, R-E3 0,570 0,370 R-E4 0,510 0,270 Croatia Croatian classification method for macrophytes in rivers R-E2, R-E3 0,800 0,600 Czechia Assessment method of surface running water bodies in Czechia using biological quality element macrophytes R-E2, R-E3 0,750 0,500 Czechia Assessment method of surface running water bodies in Czechia using biological quality element macrophytes R-E4 0,770 0,560 Hungary Reference Index R-E2, R-E3 0,700 0,370 Romania Romanian Macrophyte-based assessment system for rivers (Macrophyte River Index (MARI)) R-E2, R-E3, R-E4 R-E2 and R-E3: 0,875 , R-E4: 0,783 all types: 0,625 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, makrofiti R-E2, R-E3, R-E4 0,800 0,600 Slovakia Macrophyte Biological Index for Rivers (IBMR-SK) R-E2, R-E3, R-E4 0,800 0,600 EASTERN CONTINENTAL RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Type Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria Assessment of the biological quality elements – part Phytobenthos [Leitfaden zur Erhebung der biologischen Qualitätselemente, Teil A3 – Fließgewässer/Phytobenthos] R-E4 0,64 0,49 Bulgaria Ecological status assessment of rivers in Bulgaria based on IPS diatom index R-E1a, R-E1b, R-E3 0,87 (national type R2, R4) 0,85 (national type R7, R8) 0,66 (national type R2, R4) 0,64 (national type R7, R8) Croatia Croatian classification method for phytobenthos in rivers R-E2, R-E3, R-EX5, R-EX6, R-EX7, R-EX8 0,862 0,60 Czechia Assessment system for rivers using phytobenthos R-E1a, R-E1b, R-E2, R-E3, R-EX4 0,80 0,60 Hungary Ecological status assessment for rivers based on diatoms R-E1b, R-E2, R-E3, R-EX5 0,80 0,60 Romania National (Romanian) Assessment Method for Rivers Ecological Status based on Phytobenthos (Diatoms) RO-AMRP R-E1a, R-E1b, R-E3 0,80 0,60 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos R-E4, R-EX5, R-EX6, R-EX7, R-EX8 0,80 0,60 Slovakia Ecological status assessment system for rivers using phytobenthos R-E1a, R-E1b, R-E2, R-E3, R-E4, R-EX4 0,90 0,70 Water category Rivers Geographical Intercalibration Group Mediterranean rivers Description of types that have been intercalibrated Type River characterisation Catchment (km 2 ) Geology Flow regime R-M1 Small Mediterranean streams < 100 Mixed (except siliceous) Highly seasonal R-M2 Medium Mediterranean streams 100 – 1 000 Mixed (except siliceous) Highly seasonal R-M4 Mediterranean mountain streams Non-siliceous Highly seasonal R-M5 Temporary streams Temporary Countries sharing types that have been intercalibrated: R-M1 : Bulgaria, Croatia, France, Greece, Italy, Portugal, Slovenia, Spain R-M2 : Bulgaria, Croatia, France, Greece, Italy, Portugal, Slovenia, Spain R-M4 : Cyprus, France, Greece, Italy, Spain R-M5 : Croatia, Cyprus, Italy, Portugal, Slovenia, Spain MEDITERRANEAN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Type and Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary R-M1 Croatia Croatian classification method for benthic macroinvertebrates 0,800 0,600 France Multimetric index based on macroinvertebrate fauna for the ecological assessment of French wadeable rivers (I 2 M 2 ) 0,676 0,464 Greece Hellenic Evaluation System-2 (HESY-2) 0,943 0,750 Italy MacrOper (based on STAR Intercalibration Common Metric Index ICMi) 0,970 0,720 Portugal Rivers Biological Quality Assessment Method-Benthic Invertebrates (IPtIN, IPtIS) 0,870 (type 1) 0,678 (type 1) 0,850 (type 3) 0,686 (type 3) Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev 0,800 0,600 Spain Iberian Biological Monitoring Working Party (IBMWP) 0,845 0,698 Spain Iberian Mediterranean Multimetric Index—using quantitative data (IMMi-T) 0,811 0,707 R-M2 Bulgaria IBI (BG) (Irish Biotic Index (BG)) 0,800 0,600 Croatia Croatian classification method for benthic macroinvertebrates 0,800 0,600 France Multimetric index based on macroinvertebrate fauna for the ecological assessment of French wadeable rivers (I 2 M 2 ) 0,676 0,464 Greece Hellenic Evaluation System-2 (HESY-2) 0,944 0,708 Italy MacrOper (based on STAR Intercalibration Common Metric Index ICMi) 0,940 0,700 Portugal Rivers Biological Quality Assessment Method-Benthic Invertebrates (IPtIN, IPtIS) 0,830 (type 2) 0,693 (type 2) 0,880 (type 4) 0,676 (type 4) Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev 0,800 0,600 Spain Iberian Biological Monitoring Working Party (IBMWP) 0,845 0,698 Spain Iberian Mediterranean Multimetric Index—using quantitative data (IMMi-T) 0,811 0,707 R-M4 Cyprus STAR Intercalibration Common Metric Index (STAR_ICMi) 0,972 0,729 France Multimetric index based on macroinvertebrate fauna for the ecological assessment of French wadeable rivers (I 2 M 2 ) 0,676 0,464 Greece Hellenic Evaluation System-2 (HESY-2) 0,850 0,637 Italy MacrOper (based on STAR Intercalibration Common Metric Index ICMi) 0,940 0,700 Spain Iberian Biological Monitoring Working Party (IBMWP) 0,840 0,700 Spain Iberian Mediterranean Multimetric Index—using quantitative data (IMMi-T) 0,850 0,694 R-M5 Croatia Croatian classification method for benthic macroinvertebrates 0,800 0,600 Cyprus STAR Intercalibration Common Metric Index (STAR_ICMi) 0,982 0,737 Greece Hellenic Evaluation System-2 (HESY-2) 0,963 0,673 Italy MacrOper (based on STAR Intercalibration Common Metric Index ICMi) 0,970 0,730 Portugal Rivers Biological Quality Assessment Method-Benthic Invertebrates (IPtIN, IPtIS) 0,973 (type 5) 0,705 (type 5) 0,961 (type 6) 0,708 (type 6) Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev 0,800 0,600 Spain Iberian Biological Monitoring Working Party (IBMWP) 0,830 0,630 Spain Iberian Mediterranean Multimetric Index—using quantitative data (IMMi-T) 0,830 0,620 Spain (Balearic Islands) INVMIB index (INVertebrate Multimetric Illes Balears) 0,93 0,68 MEDITERRANEAN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Type and Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary R-M1, M2, M4 Bulgaria (R-M1 and R-M2) RI (BG) (Reference Index (BG)) 0,640 0,350 Croatia (R-M1 and R-M2) Croatian classification method for macrophytes in rivers 0,800 0,600 Cyprus (R-M4) IBMR – Biological Macrophyte Index for Rivers 0,795 0,596 France IBMR – Indice Biologique Macrophytique en Rivière French standard NF T90-395 (2003-10-01) 0,930 0,745 Greece IBMR – Biological Macrophyte Index for Rivers 0,750 0,560 Italy IBMR – Biological Macrophyte Index for Rivers 0,900 0,800 Portugal (R-M1 and R-M2) IBMR – Biological Macrophyte Index for Rivers 0,920 0,690 Slovenia (R-M1 and R-M2) Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, makrofiti 0,800 0,600 Spain IBMR – Biological Macrophyte Index for Rivers 0,950 0,740 MEDITERRANEAN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods intercalibrated Type and Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary R-M1 Bulgaria IPS (Indice de polluo-sensibilité) 0,820 0,630 Croatia Croatian classification method for phytobenthos in rivers 0,829 0,555 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF-T-90-354, December 2007. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface 0,940 0,780 Greece IPS (Coste in Cemagref, 1982) Intercalibrated (EQR IPS) 0,956 0,717 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) 0,800 0,610 Portugal IPS (Coste in Cemagref, 1982) 0,970 (type 1 ) 0,730 (type 1 ) 0,910 (type 3 ) 0,680 (type 3 ) Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos 0,800 0,600 Spain IPS (Coste in Cemagref, 1982) 0,937 0,727 R-M2 Bulgaria IPDS (Indice de polluo-sensibilité) 0,820 0,630 Croatia Croatian classification method for phytobenthos in rivers 0,829 0,555 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF-T-90-354, December 2007. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface 0,940 0,780 Greece IPS (Coste in Cemagref, 1982) Intercalibrated (EQR IPS) 0,953 0,732 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) 0,800 0,610 Portugal IPS (Coste in Cemagref, 1982)) 0,910 (type 2 ) 0,680 (type 2 ) 0,970 (type 4 ) 0,730 (type 4 ) Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos 0,800 0,600 Spain IPS (Coste in Cemagref, 1982) 0,938 0,727 R-M4 Cyprus IPS (Coste in Cemagref, 1982) 0,910 0,683 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF-T-90-354, December 2007. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface 0,940 0,780 Greece IPS (Coste in Cemagref, 1982) Intercalibrated (EQR IPS) 0,932 0,716 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) 0,800 0,610 Spain IPS (Coste in Cemagref, 1982) 0,935 0,727 R-M5 Croatia Croatian classification method for phytobenthos in rivers 0,850 0,585 Cyprus IPS (Coste in Cemagref, 1982) 0,958 0,718 Italy Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009) 0,880 0,650 Portugal IPS (Coste in Cemagref, 1982) 0,800 (Type 5 ) 0,651 (Type 5 ) 0,940 (Type 6 ) 0,700 (Type 6 ) Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos 0,800 0,600 Spain IPS (Coste in Cemagref, 1982) 0,935 0,700 Spain (Balearic Islands) Diatom multimetric index (DIATMIB) 0,93 0,68 Water category Rivers Geographical Intercalibration Group Northern rivers Description of types that have been intercalibrated Type River characterisation Catchment area of stretch (km 2 ) Altitude and geomorphology Alkalinity (meq/l) Organic material (mg Pt/l) R-N1 Small lowland siliceous moderate alkalinity 10 – 100 < 200 m a.s.l. or below the highest coastline 0,2 – 1 < 30 (< 150 in Ireland) R-N3 Small/medium lowland organic low alkalinity 10 – 1 000 < 0,2 > 30 R-N4 Medium lowland siliceous moderate alkalinity 100 – 1 000 0,2 – 1 < 30 R-N5 Small mid-altitude siliceous low alkalinity 10 – 100 Between lowland and highland < 0,2 < 30 R-N9 Small/medium mid-altitude siliceous low alkalinity organic (humic) 10 – 1 000 Between lowland and highland < 0,2 > 30 Countries sharing types that have been intercalibrated: R-N1 : Finland, Ireland, Norway, Sweden R-N3 : Finland, Ireland, Norway, Sweden R-N4 : Finland, Norway, Sweden R-N5 : Finland, Norway, Sweden R-N9 : Finland, Norway, Sweden NORTHERN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna (methods sensitive for organic enrichment and general degradation) Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Finland Revised Finnish river invertebrate fauna assessment method 0,80 0,60 Ireland Quality Rating System (Q-value) 0,85 0,75 Norway ASPT 0,99 0,87 Sweden DJ-index (Dahl & Johnson 2004) 0,80 0,60 Biological Quality Element Benthic invertebrate fauna (methods sensitive for acidification) Results: Ecological quality ratios of national classification methods intercalibrated The following results apply to clear, low alkalinity river types Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Ireland Acid Waters Indicator Community Species (IE AWICSp) 0,99 0,90 Norway AcidIndex2 (Modified Raddum index2) (river acidification) 0,675 0,515 Results: Ecological quality ratios of national classification methods intercalibrated The following results apply to humic, low alkalinity river types Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Sweden MISA: Multimetric Invertebrate Stream Acidification index 0,550 0,400 NORTHERN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Type and Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary R-N3 and R-N9 Finland Trophic index TIc 0,889 0,610 Sweden Trophic index TIc 0,889 0,610 Norway Trophic index TIc 0,889 0,610 NORTHERN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Finland Revised Finnish river phytobenthos method 0,80 0,60 Ireland Revised form of Trophic Diatom Index (TDI) 0,93 0,78 Norway Periphyton Index of Trophic Status (PIT) 0,99 (Ca ≤ 1 mg/l) 0,83 0,95 (Ca > 1 mg/l) Sweden Indice de Polluosensibilité Spécifique (IPS) 0,89 0,74 Water category Rivers Geographical Intercalibration Groups All Biological Quality Element Fish fauna Overview of regional groups that have been established for the river fish intercalibration: Alpine-type Mountains group – Austria, France, Germany, Italy, Slovenia Danubian group – Bulgaria, Croatia, Czechia, Hungary, Romania, Slovakia Lowland-Midland group – Belgium (Flanders), Belgium (Wallonia), Denmark, Estonia, France, Germany, Hungary, Latvia, Lithuania, Luxembourg, Netherlands, Poland Mediterranean South Atlantic group – Bulgaria, Croatia, Greece, Italy, Portugal, Spain Nordic group – Finland, Ireland, Norway, Sweden Results: Ecological quality ratios of national classification methods intercalibrated Alpine-type Mountains group Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria FIA 0,875 0,625 France FBI (Fish-Based Index): Indice Poissons Rivière (IPR). AFNOR NF-T90-344 1,131 0,876 Germany FIBS – fischbasiertes Bewertungssystem für Fließgewässer zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland 1,086 0,592 Italy NISECI index (New Index of Ecological Status of Fish Communities) 0,800 0,520 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi rib 0,800 0,600 Danubian group Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Bulgaria TsBRI (Type Specific Bulgarian Fish Index) 0,860 0,650 Croatia Croatian classification method for fish in rivers 0,800 0,600 Czechia Czech multimetric method CZI 0,780 0,585 Romania EFI+ European Fish index (cyprinid wading type) 0,939 0,700 Romania EFI+ European Fish index (salmonid type) 0,911 0,755 Slovakia Fish Index of Slovakia FIS 0,710 0,570 Lowland – Midland group Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Belgium Flanders Upstream and Lowland IBI 0,850 0,650 Belgium Wallonia IBIP (Arrêté du Gouvernement wallon du 13 septembre 2012 relatif à l’identification, à la caractérisation et à la fixation des seuils d’état écologique applicables aux masses d’eau de surface et modifiant le Livre II du Code de l’Environnement, contenant le Code de l’Eau. Moniteur belge 12.10.2012) 0,958 0,792 Denmark Danish index for fish in streams DFFVa 0,700 0,500 France FBI (Fish-Based Index): Indice Poissons Rivière (IPR). AFNOR NF-T-90-344. 1,131 0,835 Germany FIBS – fischbasiertes Bewertungssystem für Fließgewässer zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland 1,086 0,592 Latvia Latvian Fish Index 0,880 0,660 Lithuania Lithuanian River Fish Index 0,940 0,720 Luxembourg Classification française DCE Indice Poissons Rivière (IPR). AFNOR NF-T-90-344 1,131 0,835 Netherlands NLFISR 0,800 0,600 Poland EFI+PL index 0,800 0,600 Mediterranean group Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Croatia Croatian classification method for fish in rivers 0,800 0,600 Greece Hellenic Fish Index (HeFI) 0,800 0,600 Portugal F-IBIP – Fish-based Index of Biotic Integrity for Portuguese Wadeable Streams 0,850 0,675 Spain IBIMED – type T2 0,816 0,705 Spain IBIMED – type T3 0,929 0,733 Spain IBIMED – type T4 0,864 0,758 Spain IBIMED – type T5 0,866 0,650 Spain IBIMED – type T6 0,916 0,764 Nordic group Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Finland Finnish Fish Index (FiFi) – type L2 0,665 0,499 Finland Finnish Fish Index (FiFi) – type L3 0,658 0,493 Finland Finnish Fish Index (FiFi) – type M1 0,709 0,532 Finland Finnish Fish Index (FiFi) – type M2 0,734 0,550 Finland Finnish Fish Index (FiFi) – type M3 0,723 0,542 Ireland Fish Classification Scheme 2 Ireland (FCS2) 0,845 0,540 Sweden Swedish method VIX 0,739 0,467 Water Category Rivers Geographical Intercalibration Groups All – Very Large Rivers Description of types that have been intercalibrated Type River characterisation Catchment area of stretch (km 2 ) Alkalinity (meq/l) R-L1 Very large low alkalinity rivers > 10 000 < 0,5 R-L2 Very large medium to high alkalinity rivers > 10 000 > 0,5 Countries sharing types that have been intercalibrated: R-L1 : Finland, Norway, Sweden R-L2 : Austria, Belgium (Flanders), Bulgaria, Croatia, Czechia, Estonia, France, Germany, Greece, Hungary, Italy, Latvia, Lithuania, the Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden VERY LARGE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria Assessment of the Biological Quality Elements – part benthic invertebrates (for large alpine rivers) 0,80 0,60 Austria Slovak assessment of benthic invertebrates in large rivers (for large lowland rivers) 0,80 0,60 Belgium (Flanders) Multimetric Macroinvertebrate Index Flanders (MMIF) 0,90 0,70 Bulgaria mRBA – Modified Rapid Biological Assessment 0,80 0,60 Croatia Ecological status assessment system based on benthic invertebrates in very large rivers 0,80 0,60 Czechia Czech system for ecological status assessment of large non-wadeable rivers using benthic macroinvertebrates 0,80 0,60 Estonia Estonian surface water ecological quality assessment _ large river macroinvertebrates 0,90 0,70 Finland Revised Finnish river invertebrate fauna assessment method 0,80 0,60 Germany Germany PTI – Potamon-Typie-Index 0,80 0,60 Greece STAR_ICMi index 1,01 0,73 Hungary Hungary HMMI_II – Hungarian Multimetric Macroinvertebrate Index for large and very large rivers 0,80 0,60 Italy ISA (Indice per la classificazione sulla base dei Substrati Artificiali) – mediterranean rivers 0,94 0,70 Italy ISA (Indice per la classificazione sulla base dei Substrati Artificiali) – non-mediterranean rivers 0,96 0,72 Latvia LRMI – Latvian large River Macroinvertebrate Index 0,88 0,63 Lithuania Lithuanian River Macroinvertebrate Index 0,80 0,60 Netherlands WFD metrics for natural water types 0,80 0,60 Norway Norway ASPT – Average Score Per Taxon 0,99 0,87 Poland RIVECOmacro – MMI_PL 0,91 0,71 Portugal Portuguese assessment method for Large Rivers using Benthic Macroinvertebrates (IPtIN) 0,849 0,637 Romania Assessment method for ecological status of water bodies based on macroinvertebrates 0,80 0,60 Slovakia Slovak assessment of benthic invertebrates in large rivers 0,80 0,60 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev 0,80 0,60 Spain IBMWP – Iberian Biological Monitoring Working Party 0,79 0,48 Sweden Average Score Per Taxon (ASPT) and DJ-index 0,80 0,60 VERY LARGE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria German PhytoFluss-Index 4.0 0,80 0,60 Belgium (Flanders) German PhytoFluss-Index 2.0 0,80 0,60 Bulgaria German PhytoFluss-Index 4.0 0,80 0,60 Croatia HRPI – Hungarian River Phytoplankton Index 0,80 0,60 Czechia CZ – Assessment method for ecological status of rivers based on phytoplankton 0,80 0,60 Germany German PhytoFluss-Index 0,80 0,60 Estonia EST_PHYPLA_R – Estonian Large River Phytoplankton Index 0,85 0,65 Hungary HRPI – Hungarian River Phytoplankton Index 0,80 0,60 Latvia Latvian Large River Phytoplankton Index 0,80 0,60 Lithuania German River Phytoplankton Index (PhytoFluss-Index for lowland rivers of type 15.2) 0,80 0,60 Poland IFPL metric – Method for large rivers assessment using phytoplankton 1,08 0,92 Portugal Portuguese assessment method for Phytoplankton in large rivers (NMASRP) 0,80 0,60 Romania ECO-FITO – Assessment Method for Ecological Status of the Water Bodies based on Phytoplankton 0,92 0,76 Slovakia Phytoplankton-SK – Slovak assessment of phytoplankton in large rivers 0,80 0,60 VERY LARGE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary R-L1 Finland Revised Finnish river phytobenthos method 0,80 0,60 Sweden Benthic algae in running water – diatom analysis 0,89 0,74 R-L2 Austria Assessment of the Biological Quality Elements – part phytobenthos 0,85 0,57 Bulgaria IPS (Indice de Polluo-Sensibilité) 0,76 0,58 Croatia Ecological status assessment system for phytobenthos in rivers based on diatoms 0,80 0,61 Czechia Assessment system for rivers using phytobenthos 0,80 0,60 Estonia Estonian surface water ecological quality assessment – river phytobenthos 0,83 0,64 France IBD 2007 (Coste et al, Ecol. Ind. 2009). AFNOR NF T90-354, April 2016. Arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {...} des eaux de surface 0,92 0,76 Germany Verfahrensanleitung für die ökologische Bewertung von Fließgewässern zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Diatomeen 0,725 0,55 Hungary Ecological status assessment for rivers based on diatoms 0,762 0,60 Italy Intercalibration Common Metric Index (ICMi) (Mancini &Sollazzo 2009) 0,89 (national type C) 0,70 (national type C) 0,82 (national type M3 ) 0,62 (national type M3 ) Latvia Latvian assessment method using phytobenthos in very large rivers (IPS index) 0,78 0,58 Lithuania Lithuanian River Phytobenthos Index 0,73 0,55 Netherlands WFD-metrics for natural water types 0,80 0,60 Portugal IPS (Coste in Cemagref, 1982) 0,90 0,67 Romania National (Romanian) Assessment Method for Rivers Ecological Status based on Phytobenthos (Diatoms) – RO-AMRP 0,80 0,60 Slovakia Ecological status assessment system for rivers using phytobenthos 0,90 0,70 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos 0,80 0,60 Spain IPS (Coste in Cemagref, 1982) 0,68 0,48 VERY LARGE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Austria Fish Index Austria (FIA) n.i. 0,625 Belgium (Flanders) Flemish Index of Biotic Integrity (IBIFL) n.i. 0,805 Bulgaria Bulgarian River Index for the Danube River (BRID) n.i. 0,600 Croatia Croatian fish index for large rivers (CFILR) 0,87 0,550 Czechia Czech Multimetric Fish Index for Rivers (CZI) 0,800 0,600 Greece Hellenic Fish Index (HeFI) n.i. 0,650 Hungary Hungarian Multimetric Fish Index Group (HMMFI) Highland 0,800 0,600 Lowland Latvia Latvian Large River Fish Index n.i. 0,660 Lithuania Lithuanian River Fish Index n.i. 0,720 Norway European Fish Index (EFI) 0,996 0,755 Poland Index of Biotic Integrity with Diadromous Fish Index (IBIPL) n.i. 0,688 Portugal Fish-based index of biotic integrity for Portuguese Large Rivers (FIBIP-GR) 0,860 0,600 Romania New European Fish (EFI+I) Boat-sampling 0,971 0,651 Wade-sampling 0,939 0,655 Slovakia Fish Index of Slovakia (FIS) n.i. 0,661 Slovenia Metodologija vrednotenja ekološkega stanja vodotokov na podlagi rib 0,800 0,600 Spain New European Fish (EFI+I) Boat-sampling n.i. 0,614 Sweden Swedish Method VIX 0,739 0,467 n.i. – not intercalibrated due to an insufficient number of national samples. Water category Lakes Geographical Intercalibration Group Alpine lakes Description of types that have been intercalibrated Type Lake characterisation Altitude (m above sea level) Mean depth (m) Alkalinity (meq/l) Lake size (km 2 ) L-AL3 Lowland or mid-altitude, deep, moderate to high alkalinity (alpine influence), large 50 – 800 > 15 > 1 > 0,5 L-AL4 Mid-altitude, shallow, moderate to high alkalinity (alpine influence), large 200 – 800 3 – 15 > 1 > 0,5 Countries sharing types that have been intercalibrated: Types L-AL3 : Austria, France, Germany, Italy, and Slovenia Types L-AL4 : Austria, France, Germany, Italy ALPINE LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Austria Evaluation of the biological quality elements, Part B2 – phytoplankton 0,80 0,60 France Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre 0,80 0,60 Germany PSI (Phyto-Seen-Index) – Bewertungsverfahren für Seen mittels Phytoplankton zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland 0,80 0,60 Italy Italian Phytoplankton Assessment Method (IPAM) 0,80 0,60 Slovenia Metodologija vrednotenja ekološkega stanja jezer na podlagi fitoplanktona 0,80 0,60 ALPINE LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated IC type Ecological Quality Ratios High-good boundary Good-moderate boundary Austria AIM for Lakes (Austrian Index Macrophytes for lakes) L-AL3+ L-AL4 0,80 0,60 France French Macrophyte Index for Lakes (IBML): Indice Biologique Macrophytique en Lacs L-AL3+ L-AL4 0,92 0,72 Germany Verfahrensanleitung für die ökologische Bewertung von Seen zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Makrophyten L-AL3+ L-AL4 0,76 0,51 Germany Verfahrensanleitung für die ökologische Bewertung von Seen zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Makrophyten und Phytobenthos LAL4 0,74 0,47 Italy MacroIMMI (Macrophytic index for the evaluation of the ecological quality of the Italian lakes) L-AL3+ L-AL4 0,80 0,60 Slovenia Metodologija vrednotenja ekološkega stanja jezer na podlagi fitobentosa in makrofitov, makrofiti L-AL3 0,80 0,60 ALPINE LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Austria Method for the assessment of Alpine lakes using benthic invertebrates 0,80 0,60 Germany AESHNA – Bewertungsverfahren für das eulitorale Makrozoobenthos in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland 0,80 0,60 Slovenia Metodologija vrednotenja ekološkega stanja jezer na podlagi bentoških nevretenčarjev 0,80 0,60 ALPINE LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Austria ALFI (Austrian lake fish index): A multimetric index to assess the ecological status of alpine lakes based on fish fauna 0,80 0,60 Germany DeLFI_SITE – Deutsches probennahmestandort-spezifisches Bewertungsverfahren für Fische in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie 0,85 0,69 Italy Lake Fish Index (LFI) 0,82 0,64 Slovenia Metodologija vrednotenja ekološkega stanja jezer na podlagi rib 0,80 0,60 Water category Lakes Geographical Intercalibration Group Central/Baltic lakes Description of types that have been intercalibrated Type Lake characterisation Altitude (m above sea level) Mean depth (m) Alkalinity (meq/l) Residence time (years) L-CB1 Lowland, shallow, calcareous < 200 3 – 15 > 1 1 – 10 L-CB2 Lowland, very shallow, calcareous < 200 < 3 > 1 0,1 – 1 Countries sharing types that have been intercalibrated Types L-CB1 : Belgium, Germany, Denmark, Estonia, Ireland, Lithuania, Latvia, Netherlands, Poland Types L-CB2 : Belgium, Germany, Denmark, Estonia, Ireland, Lithuania, Latvia, Netherlands, Poland CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Belgium (Flanders) Flemish phytoplankton assessment method for lakes 0,80 0,60 Denmark Danish Lake Phytoplankton Index 0,80 0,60 Estonia Estonian surface water ecological quality assessment – lake phytoplankton 0,80 0,60 Germany PSI (Phyto-Seen-Index) – Bewertungsverfahren für Seen mittels Phytoplankton zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland – German Phyto-Lake-Index (Phyto-See-Index) 0,80 0,60 Ireland IE Lake Phytoplankton Index 0,80 0,60 Latvia Latvian Lake Phytoplankton Index 0,81 0,61 Lithuania German Lake Phytoplankton Index (Phyto-See-Index) 0,81 0,61 Netherlands WFD – metrics for natural water types 0,80 0,60 Poland Phytoplankton method for Polish Lakes (PMPL) 0,80 0,60 CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated IC type Ecological Quality Ratios High-good boundary Good-moderate boundary Belgium (Flanders) Flemish macrophyte assessment system All types 0,80 0,60 Denmark Danish Lake Macrophytes Index All types 0,80 0,60 Estonia Estonian surface water ecological quality assessment – lake macrophytes LCB1 0,78 0,52 LCB2 0,76 0,50 Germany Verfahrensanleitung für die ökologische Bewertung von Seen zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Makrophyten All types 0,80 0,60 Latvia Latvian Lake Macrophyte Assessment Method All types 0,80 0,60 Lithuania Lithuanian Lake Macrophyte Index All types 0,75 0,50 Netherlands WFD-metrics for natural water types All types 0,80 0,60 Poland Macrophyte based indication method for lakes – Ecological Status Macrophyte Index ESMI (multimetric) All types 0,68 0,41 CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate Belgium (Flanders) Multimetric Macroinvertebrate Index Flanders (MMIF) 0,90 0,70 Denmark Danish Lake Macroinvertebrate Index (DLMI) 0,696 0,511 Estonia Estonian surface water ecological quality assessment – lake macroinvertebrates 0,86 0,70 Germany AESHNA – Bewertungsverfahren für das eulitorale Makrozoobenthos in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland 0,80 0,60 Latvia Latvian Lake Macroinvertebrate Multimetric Index (LLMMI) 0,85 0,52 Lithuania Lithuanian Lake Macroinvertebrate Index 0,74 0,50 Netherlands WFDi – Metric for Natural Watertypes 0,80 0,60 Poland Lake Macroinvertebrate Index (LMI) 0,92 0,588 CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Fish fauna Description of common intercalibration types Type Lake characterisation Altitude (m above sea level) Mean depth (m) Alkalinity (meq/l) Residence time (years) L-CB1 Lowland, shallow, calcareous < 200 3 – 15 > 1 1 – 10 L-CB2 Lowland, very shallow, calcareous < 200 < 3 > 1 0,1 – 1 L-CB3 Lowland, shallow, small, siliceous (moderate alkalinity) < 200 3 – 15 0,2 – 1 1 – 10 L-CB4 Heavily modified water bodies 200 – 700 3 – 30 > 0,2 0,1 – 5 Countries sharing types that have been intercalibrated Types L-CB1 : Belgium, Germany, Denmark, Estonia, Ireland, Lithuania, Latvia, Netherlands, Poland Types L-CB2 : Belgium, Germany, Denmark, Estonia, Ireland, Lithuania, Latvia, Netherlands, Poland Types L-CB3 : Belgium, Denmark, Estonia, France, Latvia, Poland Types L-CB4 : Czechia Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate Czechia CZ-FBI 0,870 0,619 Denmark Danish Lake Fish Index 0,75 0,54 EE LAFIEE 0,80 0,61 Germany DeLFI_SITE – Deutsches probennahmestandort-spezifisches Bewertungsverfahren für Fische in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie 0,95 0,80 France ELFI (European Lake Fish Index): Indice Ichtyofaune Lacustre (IIL) 0,73 0,49 Latvia Latvian Lake Fish Index 0,76 0,57 Lithuania Lithuanian Lake Fish Index 0,865 0,605 Netherlands VISMAATLAT 0,80 0,60 Poland LFI+ 0,866 0,595 Poland LFI EN 0,804 0,557 Water category Lakes Geographical Intercalibration Group Eastern Continental lakes Description of common intercalibration types Type Lake characterisation Altitude (m above sea level) Mean depth (m) Alkalinity (meq/l) Conductivity (μS/cm) L-EC1 Lowland very shallow hard-water < 200 < 6 1 – 4 300 – 1 000 Countries sharing types that have been intercalibrated Types L-EC1 : Bulgaria, Hungary, Romania EASTERN CONTINENTAL LAKES GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria HLPI-Hungarian lake phytoplankton index 0,80 0,60 Hungary HLPI-Hungarian lake phytoplankton index 0,80 0,60 Romania HLPI-Hungarian lake phytoplankton index 0,80 0,60 EASTERN CONTINENTAL LAKES GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria RI-BG – Adapted Reference Index 0,83 0,58 Hungary HU-RI – Adapted Reference Index 0,89 0,67 Romania MIRO – Macrophyte Index for Romanian Lakes (Adapted Reference Index) 0,86 0,66 EASTERN CONTINENTAL LAKES GEOGRAPHICAL INTERCALIBRATION GROUP Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification methods intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria HMMI_lakes (Hungarian Macrozoobenton Multimetric Index for Lakes 0,85 0,65 Hungary HMMI_lakes (Hungarian Macrozoobenton Multimetric Index for Lakes 0,85 0,65 Romania ECO-NL-BENT Romanian ecological status assessment system for natural lakes using benthic invertebrates 0,93 0,60 Water category Lakes Geographical Intercalibration Group Mediterranean lakes Description of types that have been intercalibrated Type Lake characterisation Altitude (m) Annual mean precipitation (mm) and T (°C) Mean depth (m) Area (km 2 ) Catchment (km 2 ) Alkalinity (meq/l) L-M5/7 Reservoirs, deep, large, siliceous, ‘wet’ areas < 1 000 > 800 and/or < 15 > 15 0,5 – 50 < 20 000 < 1 L-M8 Reservoirs, deep, large, calcareous < 1 000 - > 15 0,5 – 50 < 20 000 > 1 Countries sharing types that have been intercalibrated Types L-M5/7 : France, Greece, Italy, Portugal, Spain Types L-M8 : Cyprus, France, Greece, Italy, Spain MEDITERRANEAN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Country and Type National classification methods intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary LM 5/7 France Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre n.d. ( *1 ) 0,60 Greece New Mediterranean Assessment System for Reservoirs (NMASRP) n.d. ( *1 ) 0,60 Italy New Italian Method (NITMET) n.d. ( *1 ) 0,60 Portugal Reservoirs Biological Quality Assessment Method – Phytoplankton (New Mediterranean Assessment System for Reservoirs Phytoplankton: NMASRP). n.d. ( *1 ) 0,60 Spain Mediterranean Assessment System for Reservoirs Phytoplankton (MASRP). n.d. ( *1 ) 0,58 L-M8 Cyprus New Mediterranean Assessment System for Reservoirs Phytoplankton (NMASRP). n.d. ( *1 ) 0,60 France Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre n.d. ( *1 ) 0,60 Greece New Mediterranean Assessment System for Reservoirs (NMASRP) n.d. ( *1 ) 0,60 Italy New Italian Method (NITMET) n.d. ( *1 ) 0,60 Spain Mediterranean Assessment System for Reservoirs Phytoplankton (MASRP). n.d. ( *1 ) 0,60 Water category Lakes Geographical Intercalibration Group Northern lakes NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Description of types that have been intercalibrated Type Lake characterisation Altitude (m above sea level) Mean depth (m) Alkalinity (meq/l) Colour (mg Pt/l) L-N1 Lowland, shallow, moderate alkalinity, clear < 200 3 – 15 0,2 – 1 < 30 L-N2a Lowland, shallow, low alkalinity, clear < 200 3 – 15 < 0,2 < 30 L-N2b Lowland, deep, low alkalinity, clear < 200 > 15 < 0,2 < 30 L-N3a Lowland, shallow, low alkalinity, meso-humic < 200 3 – 15 < 0,2 30 – 90 L-N5 Mid-altitude, shallow, low alkalinity, clear 200 – 800 3 – 15 < 0,2 < 30 L-N6a Mid-altitude, shallow, low alkalinity, meso-humic 200 – 800 3 – 15 < 0,2 30 – 90 L-N8a Lowland, shallow, moderate alkalinity, meso-humic < 200 3 – 15 0,2 – 1 30 – 90 Types L-N1, L-N2a, L-N3a, LN-8a : Ireland, Finland, Norway, Sweden Types L-N2b : Norway, Sweden Types L-N5, L-N6a : Norway, Sweden Results: Ecological quality ratios of national classification systems intercalibrated Country National classification methods intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Finland Finnish phytoplankton assessment method for lakes 0,80 0,60 Ireland IE Lake Phytoplankton Index 0,80 0,60 Norway Lake phytoplankton ecological status classification method 0,80 0,60 Sweden Ecological assessment methods for lakes. quality factor phytoplankton 0,80 0,60 NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macrophytes and Phytobenthos Sub-Biological Quality Element Macrophytes Description of types that have been intercalibrated Type Lake characterisation Alkalinity (meq/l) Colour (mg Pt/l) L-N-M 101 Low alkalinity, clear 0,05 – 0,2 < 30 L-N-M 102 Low alkalinity, humic 0,05 – 0,2 > 30 L-N-M 201 Moderate alkalinity, clear 0,2 – 1,0 < 30 L-N-M 202 Moderate alkalinity, humic 0,2 – 1,0 > 30 L-N-M 301a High alkalinity, clear, atlantic subtype > 1,0 < 30 L-N-M 302a High alkalinity, humic, atlantic subtype > 1,0 > 30 Types 101, 102, 201 and 202 : Ireland, Finland, Norway, Sweden Type 301a : Ireland Type 302a : Ireland Results: Ecological quality ratios of national classification systems intercalibrated Country National classification methods intercalibrated Ecological Quality Ratios High-good boundary Good-moderate Finland Finnish macrophyte classification system (Finnmac) 0,8 (all types) 0,6 (all types) Ireland Free Macrophyte Index 0,9 (all types) 0,68 (all types) Norway National macrophyte index (Trophic Index – TIc) Type 101: 0,98 Type 102: 0,96 Type 201: 0,95 Type 202: 0,99 Type 101: 0,87 Type 102: 0,87 Type 201: 0,75 Type 202: 0,77 Sweden Trophic Macrophyte Index (TMI) Type 101: 0,93 Type 102: 0,93 Type 201: 0,89 Type 202: 0,91 Type 101: 0,80 Type 102: 0,83 Type 201: 0,78 Type 202: 0,78 NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrates Fauna Description of types that have been intercalibrated Type Lake characterisation Ecoregion Altitude (m absl) Alkalinity (meq/l) Colour (mg Pt/l) Lake littoral acidification L-N-BF1 Lowland/mid-altitude, low alkalinity, clear n.d. < 800 0,05 – 0,2 < 30 Lake profundal eutrophication L-N-BF2 Ecoregion 22, low alkalinity, clear and humic 22 Area > 1 km 2 , max. depth > 6 m < 0,2 n.d. Types L-N-BF1 : Ireland, Finland, Norway, Sweden Types L-N-BF2 : Finland, Sweden Results: Ecological quality ratios of national classification systems intercalibrated Country National classification methods intercalibrated Ecological Quality Ratios High-good Good-moderate Lake littoral acidification IE LAMM (Lake Acidification Macroinvertebrate Metric) 0,86 0,70 Norway MultiClear: Multimetric Invertebrate Index for Clear Lakes 0,95 0,74 Sweden MILA: Multimetric Invertebrate Lake Acidification index 0,85 0,60 Lake profundal eutrophication Finland Revised Finnish lake invertebrate fauna assessment method (PICM) 0,80 0,60 Sweden BQI (Benthic Quality Index) 0,84 0,67 NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Fish fauna Description of types that have been intercalibrated Type Lake characterisation Lake area km 2 Alkalinity (meq/l) Colour (mg Pt/l) L-N-F1 Dimictic clear water lakes < 40 < 0,2 < 30 L-N-F2 Dimictic humic lakes < 5 < 0,2 30 – 90 Types L-N-F1 : Ireland, Finland, Norway, Sweden Types L-N-F2 : Ireland, Finland, Norway, Sweden Results: Ecological quality ratios of national classification systems intercalibrated Country National classification methods intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Eutrophication Finland EQR4 0,80 0,60 Ireland FIL2 0,76 0,53 Norway EindexW3 0,75 0,56 Sweden EindexW3 0,75 0,56 Acidification Norway AindexW5 0,74 0,55 Sweden AindexW5 0,74 0,55 Water category Lakes Geographical Intercalibration Group Cross-GIG Phytobenthos Description of types that have been intercalibrated Type Lake characterisation Alkalinity (meq/l) Ecoregions HA High alkalinity lakes > 1 Alpine, Central-Baltic, Eastern Continental, Mediterranean MA Moderate alkalinity lakes 0,2 – 1 Alpine, Central-Baltic, Eastern Continental, Mediterranean, Northern LA Low alkalinity lakes < 0,2 Northern Types HA : Belgium, Croatia, Denmark, Germany, Hungary, Ireland, Italy, Latvia, Lithuania, Poland, Sweden, Slovenia Types MA : Belgium, Finland, Ireland, Italy, Romania, Sweden Types LA : Finland, Ireland, Sweden Country and Type National classification methods intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary HA type Belgium (Flanders) Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD) 0,80 0,60 Croatia Croatian phytobenthos-based assessment method 0,81 0,62 Denmark Danish Lake Phytobenthos classification method 0,921 0,76 Germany Verfahrensanleitung für die ökologische Bewertung von Seen zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Phytobenthos 0,80 0,55 Hungary MIL – Multimetric Index for Lakes 0,80 0,69 Ireland Lake Trophic Diatom Index (IE) 0,90 0,63 Italy Italian national method for the evaluation of the ecological quality of lake waterbodies using benthic diatoms (EPI-L) 0,75 0,5 Lithuania Lithuanian Lake Phytobenthos Index 0,63 0,47 Poland PL IOJ (Multimetryczny Indeks Okrzemkowy dla Jezior = Multimetric Diatom Index for Lakes) 0,91 0,76 Slovenia Metodologija vrednotenja ekološkega stanja jezer na podlagi fitobentosa in makrofitov, fitobentos 0,80 0,60 Sweden IPS 0,89 0,74 MA type Belgium (Flanders) Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD) 0,80 0,60 Finland Revised Finnish lake phytobenthos method 0,80 0,60 Ireland Lake Trophic Diatom Index (IE) 0,90 0,63 Italy Italian national method for the evaluation of the ecological quality of lake waterbodies using benthic diatoms (EPI-L) 0,75 0,5 Sweden IPS 0,89 0,74 LA type Ireland Lake Trophic Diatom Index (IE) 0,90 0,66 Water category Coastal waters Geographical Intercalibration Group Baltic Sea Description of types that have been intercalibrated Type Surface salinity (psu) Bottom salinity (psu) Exposure Ice days Other Characteristics BC1 0,5 – 6 Oligohaline 1 – 6 Exposed 90 – 150 Sites in the Quark and the Bothnian Sea, extending to the Archipelago Sea (for phytoplankton the latter is excluded and integrated in type BC9). Influence of humic substances BC2 6 – 22 Mesohaline 2 – 6 Very Sheltered Lagoons BC3 3 – 6 Oligohaline 3 – 6 Sheltered 90 – 150 Finnish and Estonian coasts of Gulf of Finland BC4 5 – 8 Lower mesohaline 5 – 8 Sheltered < 90 Sites of Estonia and Latvia in the Gulf of Riga BC5 6 – 8 Lower mesohaline 6 – 12 Exposed < 90 Sites in the southeastern Baltic Sea along the coast of Latvia, Lithuania, and Poland BC6 8 – 12 Mid mesohaline 8 – 12 Sheltered < 90 Sites along the Western Baltic Sea at the southern Swedish coast and the southeastern Danish coast BC7 6 – 8 Mid mesohaline 8 – 11 Exposed < 90 Western Polish coast and eastern German coast BC8 13 – 18 Upper mesohaline 18 – 23 Sheltered < 90 Danish and German coasts in the Western Baltic Sea BC9 3 – 6 Lower mesohaline 3 – 6 Moderately exposed to exposed 90 – 150 Sites in the western Gulf of Finland, Archipelago Sea and Asko archipelago (only for phytoplankton) Countries sharing types that have been intercalibrated: Type BC1 : Finland, Sweden Type BC2 : Germany Type BC3 : Estonia, Finland Type BC4 : Estonia, Latvia Type BC5 : Latvia, Lithuania, Poland Type BC6 : Sweden, Denmark Type BC7 : Germany, Poland Type BC8 : Germany, Denmark Type BC9 : Finland, Sweden, Estonia (type only relevant for phytoplankton) BALTIC SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary BC7 Germany German coastal phytoplankton method 0,8 0,6 Poland Polish coastal phytoplankton method 0,8 0,6 BC8 Denmark Danish coastal phytoplankton method 0,8 0,6 Germany German coastal phytoplankton method 0,8 0,6 Results for parameter indicative of biomass (Chlorophyll-a) Country and Type Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary BC1 Finland (Quark outer) 0,76 0,59 1,7 2,2 Finland (Bothnian Sea outer) 0,78 0,60 1,6 2,1 Sweden (Quark outer) 0,75 0,58 1,6 2,1 Sweden (Bothnian Sea outer) 0,80 0,60 1,5 2,0 BC4 Estonia 0,830 0,670 2,4 3,0 Latvia 0,82 0,67 2,2 2,7 BC5 Latvia 0,650 0,390 1,85 3,1 Lithuania 0,880 0,600 2,5 4,9 BC6 Denmark 0,78 0,62 1,36 1,72 Sweden 0,79 0,64 1,44 1,78 BC9 Estonia 0,82 0,67 2,20 2,70 Finland 0,79 0,65 1,90 2,30 Sweden 0,80 0,67 1,50 1,80 BALTIC SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary BC3 Estonia EPI – Estonian coastal water phytobenthos Index (macroalgae and angiosperms) 0,98 0,86 Finland Fucus depth limit (macroalgae) 0,92 0,79 BC4 Estonia EPI – Estonian Phytobenthos Index (macroalgae and angiosperms) 0,91 0,70 Latvia PEQI – Phytobenthos Ecological Quality Index 0,90 0,75 BC5 Latvia MDFLD – Maximum depth of the red alga Furcellaria lumbricalis distribution (macroalgae) 0,90 0,75 Lithuania MDFLD – Lithuanian maximum depth of the red alga Furcellaria lumbricalis distribution (macroalgae) 0,84 0,68 BALTIC SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary BC1 Finland BBI – Finnish Brackish water Benthic Index 0,96 0,56 Sweden BQI – Swedish multimetric biological quality index (soft sediment infauna) 0,77 0,31 BC3 Estonia ZKI – Estonian coastal water macrozoobenthos community index 0,39 0,24 Finland BBI – Finnish Brackish water Benthic Index 0,94 0,56 BC5 Latvia BQI – Benthic quality index 0,87 0,61 Lithuania BQI – Benthic quality index 0,94 0,81 BC6 Denmark Danish Quality Index version 2 (DKI ver2) 0,84 0,68 Sweden BQI – Swedish multimetric biological quality index (soft sediment infauna) 0,76 0,27 BC7 Germany MarBIT- Marine Biotic Index Tool - 0,60 Poland B – Macrozoobenthos BQE assessment by multimetric index - 0,58 BC8 Denmark Danish Quality Index version 2 (DKI ver2) 0,86 0,72 Germany MarBIT – Marine Biotic Index Tool 0,80 0,60 Water category Coastal waters Geographical Intercalibration Group North East Atlantic Description of types that have been intercalibrated Type Characterisation Salinity (psu) Tidal range (m) Depth (m) Current Velocity (knots) Exposure Mixing Residence Time Type for opportunistic blooming macroalgae, seagrasses, saltmarshes, and benthic invertebrate fauna NEA 1/26 Open oceanic or enclosed seas, exposed or sheltered, euhaline, shallow < 30 Mesotidal 1-5 < 30 Medium 1 – 3 Exposed or sheltered Fully mixed Days (to weeks in the Wadden Sea) Subtypes for intertidal macroalgae NEA 1/26 A2 Open oceanic, exposed or sheltered, euhaline, shallow, Temperate waters (mainly, > 13 °C) and high irradiance (mainly, PAR > 29 Mol/m 2 day) > 30 Mesotidal 1 – 5 < 30 Medium 1 – 3 Exposed or sheltered Fully mixed Days NEA 1/26 B21 Open oceanic or enclosed seas, exposed or sheltered, euhaline, shallow Cool waters (mainly, < 13 °C) and medium irradiance (mainly, PAR < 29 Mol/m 2 day) > 30 Mainly mesotidal 1 – 5 < 30 Medium 1 – 3 Exposed or sheltered Fully mixed Days Subtypes for phytoplankton NEA 1/26a Open oceanic, exposed or sheltered, euhaline, shallow > 30 Mesotidal 1 – 5 < 30 Medium 1 -3 Exposed or sheltered Fully mixed Days NEA 1/26b Enclosed seas, exposed or sheltered, euhaline, shallow > 30 Mesotidal 1 – 5 < 30 Medium 1 – 3 Exposed or sheltered Fully mixed Days NEA 1/26c Enclosed seas, enclosed or sheltered, partly stratified > 30 Microtidal/Mesotidal < 1 – 5 < 30 Medium 1 – 3 Exposed or sheltered Partly stratified Days to weeks NEA 1/26d Scandinavian coast, exposed or sheltered, shallow > 30 Microtidal < 1 < 30 Low < 1 Exposed or moderately exposed Partly stratified Days to weeks NEA 1/26e Areas of upwelling, exposed or sheltered, euhaline, shallow > 30 Mesotidal < 1 < 30 Medium 1 – 3 Exposed or sheltered Fully mixed Days Types for phytoplankton, macroalgae, seagrasses, saltmarshes, benthic invertebrate fauna NEA 5 Helgoland (German Bight), rocky, exposed and partly stratified > 30 Mesotidal < 30 Medium 1 – 3 Exposed Partly stratified Days NEA 3/4 Polyhaline, Exposed or moderately exposed (Wadden Sea type) Polyhaline 18 – 30 Mesotidal 1 – 5 < 30 Medium 1 – 3 Exposed or moderately exposed Fully mixed Days NEA 7 Deep fjordic and sea loch systems > 30 Mesotidal 1 -5 > 30 Low < 1 Sheltered Fully mixed Days NEA 8a Skagerrak Inner Arc Type, polyhaline, microtidal, moderately exposed, shallow Polyhaline 25 – 30 Microtidal < 1 > 30 Low < 1 Moderately exposed Fully mixed Days to weeks NEA 8b Skagerrak Inner Arc Type, polyhaline, microtidal, moderately sheltered, shallow Polyhaline 10 – 30 Microtidal < 1 < 30 Low < 1 Sheltered to moderately exposed Partly stratified Days to weeks NEA 9 Fjord with a shallow sill at the mouth with a very deep maximum depth in the central basin with poor deepwater exchange Polyhaline 25 – 30 Microtidal < 1 > 30 Low < 1 Sheltered Partly stratified Weeks NEA 10 Skagerrak Outer Arc Type, polyhaline, microtidal, exposed, deep Polyhaline 25 – 30 Microtidal < 1 > 30 Low < 1 Exposed Partly stratified Days Countries sharing types that have been intercalibrated: Type NEA1/26 opportunistic blooming macroalgae, seagrasses, saltmarshes, benthic invertebrate fauna: Belgium, France, Germany, Denmark, Ireland, Netherlands, Norway, Portugal, Spain Type NEA1/26 A2 intertidal macroalgae: France, Spain, Portugal Type NEA1/26 B21 intertidal macroalgae: France, Ireland, Norway Type NEA1/26a phytoplankton: Spain, France, Ireland, Norway Type NEA1/26b phytoplankton: Belgium, France, Netherlands Type NEA1/26c phytoplankton: Germany, Denmark Type NEA1/26d phytoplankton: Denmark Type NEA1/26e phytoplankton: Portugal, Spain Type NEA 5: Germany Type NEA3/4: Germany, Netherlands Type NEA7: Norway Type NEA8a: Norway, Sweden Type NEA8b: Denmark, Sweden Type NEA9: Norway, Sweden Type NEA10: Norway, Sweden NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Parameter values are expressed in μg/l as the 90 %ile value calculated over the defined growing season in a six-year period. Country and Type Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary NEA 1/26a France 0,76 0,33 4,40 10,00 Ireland 0,82 0,60 9,90 15,00 Norway 0,67 0,33 2,50 5,00 Spain (Eastern Cantabrian coast) 0,67 0,33 1,50 3,00 Spain (Western-Central Cantabrian Coast) 0,67 0,33 3,00 6,00 Spain (Gulf of Cadiz coast) 0,67 0,33 5,00 10,00 NEA 1/26b Belgium 0,80 0,67 12,50 15,00 France 0,67 0,44 10,00 15,00 Netherlands 0,67 0,44 10,00 15,00 NEA 1/26c Germany 0,67 0,44 5,0 7,5 Denmark 0,67 0,44 5,0 7,5 NEA 1/26e Portugal (Iberian strong upwelling-A5) 0,670 0,440 8,000 12,000 Portugal (upwelling-A6, A7) 0,880 0,490 4,500 8,200 Spain (Western Iberian upwelling coast) 0,67 0,44 6,00 9,00 Spain (Western Iberian upwelling coast – rías) 0,67 0,44 8,00 12,00 NEA 3/4 Germany (Eems Dollard) 0,80 0,60 7,00 11,00 Germany (Wadden Sea) 0,80 0,60 7,00 11,00 Netherlands (Eems Dollard) 0,80 0,60 6,75 10,13 Netherlands (Wadden Sea) 0,80 0,60 9,60 14,40 Netherlands (North Sea) 0,80 0,60 11,25 16,88 NEA 8a Norway 0,79 0,57 3,95 5,53 Sweden 0,75 0,49 1,54 2,35 NEA 8b (The Sound) Denmark 0,79 0,59 1,22 1,63 Sweden 0,80 0,60 1,18 1,56 NEA 8b (The Kattegat and Great Belt) Denmark 0,83 0,64 1,22 1,58 Sweden 0,84 0,65 1,18 1,52 NEA 9 Norway 0,76 0,43 3,92 6,90 Sweden 0,73 0,38 1,89 3,60 NEA 10 Norway 0,73 0,49 3,53 5,26 Sweden 0,71 0,46 1,39 2,14 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Macroalgae Intertidal or subtidal macroalgae rocky bottom Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA1/26 A2 intertidal macroalgae France CCO – Cover, Characteristic species, Opportunistic species on intertidal rocky bottoms 0,80 0,60 Portugal PMarMAT – Marine Macroalgae Assessment Tool 0,80 0,61 Spain CFR – Quality of Rocky Bottoms 0,81 0,60 Spain RICQI – Rocky Intertidal Community Quality Index 0,82 0,60 Spain RSL – Reduced Species List 0,75 0,48 Type NEA1/26 B21 intertidal macroalgae Ireland RSL – Rocky Shore Reduced Species List 0,80 0,60 Norway RSLA – Rocky Shore Reduced Species List with Abundance 0,80 0,60 Type NEA 7 intertidal macroalgae Norway RSLA – Rocky Shore Reduced Species List with Abundance 0,80 0,60 Type NEA8a/9/10 subtidal macroalgae Norway MSMDI – Multi Species Maximum Depth Index 0,80 0,60 Sweden MSMDI – Multi Species Maximum Depth Index 0,80 0,60 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Macroalgae Intertidal blooming macroalgae soft bottom, indicative of abundance Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA 1/26 Germany OMAI – Opportunistic Macroalgae-cover/acreage on soft sediment intertidal in coastal waters 0,78 0,59 France CWOGA – Macroalgal Bloom Assessment 0,825 0,617 Ireland OGA tool – Opportunistic Green Macroalgal Abundance 0,80 0,60 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Seagrasses Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA 1/26 Germany SG – Assessment tool for intertidal seagrass in coastal and transitional waters 0,80 0,60 France SBQ – Seagrass beds quality in coastal and transitional water bodies 0,80 0,645 Ireland Intertidal Seagrass tool 0,80 0,61 Netherlands SG – Monitoring beds of SG per waterbody using aerial photographs, ground truth and specifying surface & density per species 0,80 0,60 Portugal SQI – Seagrass quality index 0,80 0,60 Type NEA 3/4 Germany SG – Bewertungssystem für Makroalgen und Seegräser der Küsten- und Übergangsgewässer zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland 0,80 0,60 Netherlands Monitoring beds of SG per waterbody using aerial photographs, ground truth and specifying surface and density per species 0,80 0,60 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA 1/26 Belgium BEQI – Benthic Ecosystem Quality Index 0,80 0,60 Denmark Danish Quality Index (DKI) 0,80 0,60 Germany M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,85 0,70 France M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,77 0,53 Ireland IQI – Infaunal Quality Index 0,75 0,64 Netherlands BEQI2 -Benthic Ecosystem Quality Index 2 0,80 0,60 Norway NQI – Norwegian Quality Index 0,72 0,63 Portugal BAT – Benthic Assessment Tool 0,79 0,58 Spain M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,77 0,63 Type NEA 3/4 Germany M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,85 0,70 Netherlands BEQI2 – Benthic Ecosystem Quality Index 2 0,80 0,60 Type NEA 7 Norway NQI – Norwegian Quality Index 0,72 0,63 Type NEA 8b Denmark Danish Quality Index (DKI) 0,84 0,68 Sweden BQI – Swedish multimetric biological quality index (soft sediment infauna) 0,71 0,54 Type NEA 8a/9/10 Norway NQI – Norwegian Quality Index 0,82 0,63 Sweden BQI – Swedish multimetric biological quality index (soft sediment infauna) 0,71 0,54 Water category Coastal waters Geographical Intercalibration Group Mediterranean Sea Description of types that have been intercalibrated (for phytoplankton only) For benthic invertebrate fauna, macroalgae and seagrasses the intercalibration results apply to the entire Mediterranean Sea covered by the Country. Type Description Density (kg/m 3 ) Annual mean salinity (psu) Type I Highly influenced by freshwater input < 25 < 34,5 Type IIA, IIA Adriatic Moderately influenced by freshwater input (continent influence) 25 – 27 34,5 – 37,5 Type IIIW Continental coast, not influenced by freshwater input (Western Basin), > 27 > 37,5 Type IIIE Not influenced by freshwater input (Eastern Basin) > 27 > 37,5 Type Island-W* Island coast (Western Basin) All range All range Countries sharing types that have been intercalibrated: Type I : France, Italy Type IIA : France, Spain, Italy Type IIA Adriatic : Italy, Croatia, Slovenia Type Island-W* (no boundaries for this type and no possible the intercalibration due to justified reasons) : France, Spain, Italy Type IIIW : France, Spain, Italy, Croatia Type IIIE : Greece, Cyprus MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Parameter values are expressed in μg/l of Chlorophyll a, for the 90th percentile calculated over the year in at least a five-year period. Country and Type Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary Type II A France 0,67 0,37 1,92 3,50 Spain 0,67 0,37 1,92 3,50 Type II A Adriatic Croatia 0,82 0,61 1,70 4,00 Italy 0,82 0,61 1,70 4,00 Slovenia 0,82 0,61 1,70 4,00 Type IIIW France 0,67 0,42 1,18 1,89 Spain 0,67 0,42 1,18 1,89 Type IIIE Cyprus 0,66 0,37 0,29 0,53 Greece 0,66 0,37 0,29 0,53 Malta 0,66 0,37 0,29 0,53 MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Macroalgae Results: Ecological quality ratios of national classification systems intercalibrated The following results apply to the upper infralittoral zone (3,5-0,2 m depth) in a rocky coasts: Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Cyprus EEI-c – Ecological Evaluation Index 0,76 0,48 France CARLIT – Cartography of Littoral and upper-sublittoral rocky-shore communities 0,75 0,60 Greece EEI-c – Ecological Evaluation Index 0,76 0,48 Croatia CARLIT – Cartography of Littoral and upper-sublittoral rocky-shore communities 0,75 0,60 Italy CARLIT – Cartography of Littoral and upper-sublittoral rocky-shore communities 0,75 0,60 Malta CARLIT – Cartography of Littoral and upper-sublittoral rocky-shore communities 0,75 0,60 Slovenia Metodologija vrednotenja ekološkega stanja obalnega morja na podlagi makroalg 0,76 0,48 Spain CARLIT – Cartography of Littoral and upper-sublittoral rocky-shore communities 0,75 0,60 MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Croatia POMI – Posidonia oceanica Multivariate Index 0,775 0,55 Cyprus PREI – Posidonia oceanica Rapid Easy Index 0,775 0,55 France PREI – Posidonia oceanica Rapid Easy Index 0,775 0,55 Greece WePOSI- Weighted Posidonia oceanica Index 0,775 0,55 Italy PREI – Posidonia oceanica Rapid Easy Index 0,775 0,55 Malta PREI – Posidonia oceanica Rapid Easy Index 0,775 0,55 Spain POMI – Posidonia oceanica Multivariate Index 0,775 0,55 Spain Valencian-CS 0,775 0,55 MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic invertebrate fauna Biological Quality Element Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Italy M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,81 0,61 Slovenia Metodologija vrednotenja ekološkega stanja obalnega morja na podlagi bentoških nevretenčarjev 0,83 0,62 Croatia M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,83 0,62 Cyprus Bentix 0,75 0,58 France AMBI 0,83 0,58 Greece Bentix 0,75 0,58 Malta Bentix 0,75 0,58 Spain BOPA 0,95 0,54 Spain MEDOCC 0,73 0,47 Water category Coastal waters Geographical Intercalibration Group Black Sea Description of types that have been intercalibrated Type Description CW-BL1 Mesohaline, microtidal (< 1 m), shallow (< 30 m), moderately exposed to very exposed, mixed substratum (fine sand for zoobenthos) Countries sharing types that have been intercalibrated : Bulgaria and Romania BLACK SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria IBI 0,80 0,63 Romania IBI 0,80 0,63 BLACK SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Macroalgae and Angiosperms Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria EI-Ecological index 0,837 0,644 Romania EI-Ecological index 0,837 0,644 BLACK SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Benthic Invertebrate fauna Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria M-AMBI(n) – Multivariate AZTI’s Marine Biotic Index Normalized 0,90 0,68 Romania M-AMBI(n) – Multivariate AZTI’s Marine Biotic Index Normalized 0,90 0,68 Water category Transitional waters Geographical Intercalibration Group Baltic Sea GIG Description of types that have been intercalibrated Type Surface salinity psu Bottom salinity (psu) Exposure Ice days Other Characteristics BT1 0 – 8 Oligohaline 0 – 8 Very sheltered - Polish Vistula lagoon and Lithuanian Curonian lagoon Countries sharing types that have been intercalibrated: Lithuania and Poland BALTIC SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element Phytoplankton Results for parameter indicative of biomass (Chrophyll a) The following results refer to summer mean May/June – September Country Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary Lithuania 0,83 0,57 31,70 46,60 Poland 0,77 0,61 33,46 42,20 Water category Transitional waters Geographical Intercalibration Group North East Atlantic Description of types that have been intercalibrated Type Characterisation Salinity (psu), Tidal range (m), Depth (m) Current Velocity (knots), Exposure Mixing Residence Time NEA 11 Transitional Waters 0 – 35 Micro to macrotidal < 30 Variable Sheltered or moderately exposed Partly permanently stratified Days to weeks Countries sharing type that have been intercalibrated: Belgium, Germany, France, Ireland, Netherlands, Portugal, Spain Description of sub common intercalibration types for Biological quality element Benthic Invertebrate Fauna: Sub type Characterisation MS sharing sub-type A Lagoons Ireland, Spain B Freshwater-oligohaline, medium river flow Ireland, Spain C Mesotidal estuary with irregular river flow Portugal, Spain D Large estuaries Germany, France, Ireland, Netherlands, Portugal, Spain E Small-medium estuary with > 50 % intertidal area France, Ireland, Germany, Spain F Small-medium estuary with < 50 % intertidal area France, Ireland, Portugal, Spain NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Parameter values are expressed in μg/l measured as the national chlorophyll-a metric calculated in a six-year period. National metrics for France, Netherlands, Portugal and Spain typically use a measure of P90 Chl-a with salinity adjusted thresholds, Ireland uses a combination of P90 Chl-a and median values. Country Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary France 0,67 0,397 5,33 8,88 Ireland 0,80 0,60 12,96 25,96 Netherlands 0,80 0,60 12,00 18,00 Portugal-North 0,667 0,467 10,000 14,288 Spain – Central Cantabrian and Galician estuaries – Mixing zone ( *2 ) 0,67 0,44 8,00 12,00 Spain – Central Cantabrian and Galician estuaries – Euhaline ( *2 ) 0,67 0,33 4,00 8,00 Spain – East Cantabrian estuaries – Euhaline ( *2 ) 0,67 0,33 1,95 3,90 Spain – East Cantabrian estuaries – Polyhaline ( *2 ) 0,67 0,33 3,30 6,60 Spain – East Cantabrian estuaries – Mesohaline ( *2 ) 0,67 0,33 5,10 10,20 Spain – East Cantabrian estuaries – Oligohaline ( *2 ) 0,67 0,33 6,60 13,20 Spain – Gulf of Cádiz estuaries – Mixing zone 0,67 0,33 3,75 7,50 Spain – Gulf of Cádiz estuaries – Euhaline ( *2 ) 0,67 0,33 3,00 6,00 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Macroalgae and Angiosperms Sub-Biological Quality Element Macroalgae Intertidal blooming macroalgae soft bottom, indicative of abundance Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary France TWOGA – Macroalgal Bloom Assessment 0,80 0,60 Ireland OGA Tool – Opportunistic Green Macroalgal Abundance 0,80 0,60 Portugal BMI-Blooming macroalgae Index 0,770 0,590 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Seagrasses Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Germany SG-Assessment tool for intertidal seagrass in coastal and transitional waters 0,80 0,60 France SBQ-Seagrass beds quality in coastal and transitional water bodies 0,80 0,645 Ireland Intertidal Seagrass tool 0,80 0,61 Netherlands SG- Monitoring beds of SG per waterbody using aerial photographs, ground truth and specifying surface & density per species 0,80 0,60 Portugal SQI-Seagrass quality index 0,800 0,600 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Saltmarshes Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary France Spain – Cantabria AQI – Angiosperm Quality Index 0,88 0,73 Portugal AQuA – Angiosperm Quality Assessment Index 0,800 0,600 Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Sub type D France BEQI-FR 0,870 0,670 Germany M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,850 0,700 Netherlands BEQI2 – Benthic Ecosystem Quality Index 2 0,800 0,600 Spain M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,770 0,530 Portugal BAT – Benthic Assessment Tool 0,84 0,60 Sub type E France BEQI-FR 0,830 0,620 Spain M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,770 0,530 Spain QSB – Quality of Soft Bottoms 0,800 0,600 Sub type F France BEQI-FR 0,840 0,630 Spain M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,770 0,530 Portugal BAT- Benthic Assessment Tool 0,79 0,580 NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Fish fauna Results: Ecological quality ratios of national classification systems intercalibrated Country National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Belgium EBI – Zeeschelde Estuarine Biotic Index 0,850 0,615 France ELFI – Estuarine and Lagoon Fish Index 0,910 0,675 Germany FAT – TW – Fischbasiertes Bewertungswerkzeug für Übergangsgewässer der norddeutschen Ästuare 0,840 0,620 Ireland TFCI – Transitional Fish Classification Index 0,810 0,580 Ireland EMFI – Estuarine Multi-metric Fish Index 0,920 0,650 Netherlands FAT – TW – WFD Fish index for transitional waters. type O2 0,800 0,600 Portugal EFAI – Estuarine Fish Assessment Index 0,865 0,700 Spain AFI – AZTI’s Fish Index 0,780 0,550 Spain TFCI – Transitional Fish Classification Index 0,900 0,650 Water category Transitional waters Geographical Intercalibration Group Mediterranean Sea Description of types that have been intercalibrated Common IC type Type characteristics MS sharing IC common type CL-Oligohaline Coastal lagoons (Salinity < 5 psu) Spain, France, Italy CL-Mesohaline chocked and restricted Coastal lagoons (Salinity 5 – 18 psu) Spain ( *3 ) , France ( *3 ) , Italy, Greece CL-Polyhaline chocked and restricted Coastal lagoons (Salinity 18 – 40 psu) Spain ( *3 ) , France ( *3 ) , Italy, Greece Hyperhalines (Salinity > 40 psu), Hyperhalines (Salinity > 40 psu) Spain Estuaries Estuaries (salt wedge type) Spain, Croatia MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Phytoplankton Phytoplankton: Ecological quality ratios of national classification systems intercalibrated Country and type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Coastal lagoons Polyhaline chocked France PhIL – Phytoplankton index for Mediterranean polyhaline lagoons 0,710 0,390 Greece MPI – Multimetric Phytoplankton Index 0,780 0,510 Italy MPI – Multimetric Phytoplankton Index 0,780 0,510 Coastal lagoons Polyhaline restricted France PhIL – Phytoplankton index for Mediterranean polyhaline lagoons 0,710 0,390 Greece MPI – Multimetric Phytoplankton Index 0,820 0,540 Italy MPI – Multimetric Phytoplankton Index 0,820 0,540 MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Macroalgae and Angiosperms Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Meso. poly and euhaline coastal lagoons (> 5 ‰) either chocked or restricted France Exclame 0,8 0,6 Greece EEI-c – Ecological Evaluation Index 0,7 0,4 Italy MaQI – Macrophyte Quality Index 0,8 0,6 MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS Biological Quality Element: Benthic invertebrate fauna Results: Ecological quality ratios of national classification systems intercalibrated Country and Type National classification systems intercalibrated Ecological Quality Ratios High-good boundary Good-moderate boundary Coastal lagoons Polyhaline restricted France M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,84 0,63 Italy M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,96 0,71 Greece M-AMBI – Multivariate AZTI’s Marine Biotic Index 0,83 0,62 Coastal lagoons-Mesohaline chocked and restricted Italy M-AMBI – Multivariate AZTI’s Marine Biotic Index - 0,71 Greece M-AMBI – Multivariate AZTI’s Marine Biotic Index - 0,62 Part 2 Water category Rivers Geographical Intercalibration Group Cross-GIG Biological Quality Element Fish fauna Ecological quality ratios of national classification methods Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Danubian group Hungary Hungarian Multimetric Fish Index HMMFI 0,80 0,60 Mediterranean group Bulgaria TsBRI (Type Specific Bulgarian Fish Index) 0,860 0,650 Italy NISECI index (New Index of Ecological Status of Fish Communities) 0,80 0,60 Water category Rivers Geographical Intercalibration Group Cross-GIG Very Large Rivers Biological Quality Element Macrophytes and Phytobenthos Sub-biological Quality Element Phytobenthos Ecological quality ratios of national classification methods intercalibrated – Type R-L2 Country National classification systems intercalibrated Ecological Quality Ratios High-Good boundary Good-Moderate boundary Belgium (Flanders) PISIAD index (Proportions of Impact-Sensitive and Impact-Associated Diatoms) 0,80 0,60 Water category Lakes Geographical Intercalibration Group Alpine lakes Biological Quality Element Benthic invertebrates Results: Ecological quality ratios of national classification methods Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Italy BQIES (Benthic Quality Index Expected Species number) 0,88 0,76 Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification methods Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary France ELFI (European Lake Fish Index): Indice Ichtyofaune Lacustre (IIL) 0,73 0,49 Water category Lakes Geographical Intercalibration Group Central-Baltic lakes Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary France Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre 0,80 0,60 Biological Quality Element Macrophytes and Phytobenthos Sub-biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary France French Macrophyte Index for Lakes (IBML): Indice Biologique Macrophytique en Lacs 0,80 0,60 Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Belgium (Flanders) Fish-based index for lakes and reservoirs in Flanders (Belgium) 0,80 0,60 Water category Lakes Geographical Intercalibration Group Mediterranean lakes Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Croatia Hungarian lake phytoplankton index (HLPI) 0,80 0,60 France Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre 0,80 0,60 Greece HeLPhy – Hellenic Lake Phytoplankton Assessment Method 0,80 0,60 Italy Italian phytoplankton assessment method (IPAM) 0,80 0,60 Biological Quality Element Macrophytes and Phytobenthos Sub-biological Quality Element Macrophytes Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Croatia Biocenological index (BMHR) 0,90 0,70 France French Macrophyte Index for Lakes (IBML): Indice Biologique Macrophytique en Lacs 0,80 0,60 Greece HeLM – Hellenic Lake Macrophytes Assessment Method 0,80 0,60 Italy VLMMI – Volcanic Lakes Multimetric Macrophyte Index 0,70 0,50 Spain Spanish Macrophyte method to assess the ecological status of Lakes OFALAM 1: Coverage of eutrophic macrophytes National lake types: L-T01, L-T02, L-T03, L-T04, L-T05, L-T06, L-T07, L-T08, L-T10, L-T11, L-T12, L-T14, L-T15, L-T16, L-T17, L-T18, L-T19, L-T20, L-T21, L-T22, L-T23, L-T24, L-T25, L-T26, L-T2, L-T28, L-T29 0,99 0,90 Spain Spanish Macrophyte method to assess the ecological status of Lakes OFALAM 2: Exotic macrophytes coverage National lake types: L-T01, L-T02, L-T03, L-T04, L-T05, L-T06, L-T07, L-T08, L-T10, L-T11, L-T12, L-T14, L-T15, L-T16, L-T17, L-T18, L-T19, L-T20, L-T21, L-T22, L-T23, L-T24, L-T25, L-T26, L-T2, L-T28, L-T29 1,00 0,95 Spain Spanish Macrophyte method to assess the ecological status of Lakes OFALAM 3 National lake types (specifying the applied metric) Total cover of hydrophytes L-T10, L-T14, L-T15, L-T16, L-T25 0,83 0,55 L-T11 0,86 0,57 L-T18 0,88 0,62 L-T20, L-T21, L-T22, L-T23, L-T29 0,92 0,61 L-T12, L-T24, L-T26, L-T27, L-T28 0,94 0,62 Presence/absence of hydrophytes L-T01, L-T02, L-T03, L-T04, L-T05, L-T06, L-T07, L-T08 Presence Absence Spain Spanish Macrophyte method to assess the ecological status of Lakes OFALAM 4 National lake types (specifying the applied metric): Helophytes coverage L-T20, L-T21, L-T22, L-T23 0,86 0,50 L-T12, L-T14, L-T15, L-T25, L-T29 0,88 0,75 L-T10, L-T11, L-T16, L-T18, L-T24, L-T26, L-T27, L-T28 0,90 0,75 Total coverage of macrophytes L-T17 0,90 0,75 L-T19 0,83 0,55 Spain Spanish Macrophyte method to assess the ecological status of Lakes OFALAM 5: Macrophytes richness National lake types: L-T18; L-T25 - 0,48 L-T16, L-T17, L-T19 - 0,50 L-T27, L-T28 - 0,53 L-T29 - 0,56 L-T24 - 0,60 L-T11; L-T26 - 0,62 L-T10 - 0,64 L-T12 - 0,70 L-T14, L-T15 - 0,78 Biological Quality Element Benthic invertebrates Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Croatia Croatian lake benthic macroinvertebrates classification method 0,80 0,60 Greece GLBiI – Greek Lake Benthic invertebrate Index 0,80 0,60 Greece HeLLBI – Hellenic assessment method for Lake Littoral Benthic invertebrate fauna 0,80 0,60 Italy BQIES (Benthic Quality Index Expected Species number) 0,88 0,76 Spain Spanish Invertebrates Index for Lakes IBCAEL National lake types L-T01, L-T02, L-T03, L-T04, L-T05, L-T09 0,92 0,69 L-T06, L-T07, L-T08, L-T10, L-T11, L-T12 0,93 0,69 L-T13, L-T17, L-T30 0,89 0,68 L-T14, L-T15, L-T24, L-T25, L-T26, L-T27, L-T29 0,78 0,59 L-T16, L-T18 0,86 0,58 L-T19, L-T21 0,80 0,60 L-T20, L-T28 0,80 0,60 L-T22 0,9 0,67 L-T23 0,84 0,63 Spain QAELS2010 index shallow permanent ponds 0,86 0,58 shallow temporary ponds 0,89 0,68 Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Croatia Croatian fish index for natural lakes (CFIL) 0,80 0,60 France ELFI (European Lake Fish Index): Indice Ichtyofaune Lacustre (IIL) 0,73 0,49 Greece GLFI – Greek Lake Fish Index 0,80 0,60 Italy Lake Fish Index (LFI) 0,82 0,64 Water category Lakes Geographical Intercalibration Group Eastern Continental lakes Biological Quality Element Macrophytes and phytobenthos Sub-biological Quality Element Phytobenthos Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Romania RO-AMLP – Romanian Assessment Method for Natural Lakes Ecological Status based on Phytobenthos (Diatoms) 0,80 0,60 Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification methods Country National classification methods Ecological Quality Ratios High-good boundary Good-moderate boundary Bulgaria Bulgarian fish based method for ecological classification and monitoring of lakes 0,76 0,52 Hungary Hungarian Multimetric Fish Index for Oxbow lakes (HMMFIfO) 0,80 0,60 Hungary The Balaton fish index (BFI) 0,80 0,60 Water category Coastal waters Geographical Intercalibration Group Baltic Sea Biological Quality Element Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Country and Type Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary BC2 (including German national types B1. B2a. B2b) Germany (B1) 0,91 0,67 9,30 12,70 Germany (B2a) 0,89 0,67 1,80 2,40 Germany (B2b) 0,93 0,67 1,40 1,95 Biological Quality Element Macroalgae and Angiosperms Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary BC2 Germany PHYBIBCO – PHYtoBenthic Index for Baltic inner coastal waters 0,80 0,60 BC1 Finland Fucus depth limit(macroalgae) 0,90 0,74 Sweden MSMDI (macroalgae and angiosperms) 0,60 0,40 BC6 Denmark Depth limit of angiosperms 0,90 0,74 Sweden MSMDI (macroalgae and angiosperms) 0,60 0,40 BC7 Germany Balcosis – Baltic ALgae COmmunity AnalySIs System (macroalgae and angiosperms) 0,80 0,60 Poland MQAI – Macrophyte Quality Assessment Index 0,90 0,70 BC8 Germany Balcosis – Baltic ALgae COmmunity AnalySIs System (macroalgae and angiosperms) 0,80 0,60 Denmark Depth limit of angiosperms 0,90 0,74 Biological Quality Element Benthic Invertebrate fauna Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary BC2 Germany MarBIT- Marine Biotic Index Tool 0,80 0,60 BC4 Estonia ZKI – Estonian coastal water macrozoobenthos community index 0,39 0,24 Latvia BQI – Benthic quality index 0,88 0,75 Water category Coastal waters Geographical Intercalibration Group North East Atlantic Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification systems Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Parameter values are expressed in μg/l as the 90 %ile value calculated over the defined growing season in a six-year period. Country and Type Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary NEA 1/26d Denmark 0,66 0,50 3,00 4,00 NEA 5 Germany 0,67 0,44 5,00 7,50 NEA 7 Norway 0,67 0,33 2,50 5,00 Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Macroalgae Intertidal or subtidal macroalgae rocky bottom Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA 5 Germany HPI – Helgoland Phytobenthic Index 0,80 0,60 Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Macroalgae Intertidal blooming macroalgae soft bottom, indicative of abundance Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary NEA 3/4 Germany OMAI – Opportunistic Macroalgae-cover/acreage on soft sediment intertidal in coastal waters 0,80 0,60 Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Saltmarshes Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Germany EM – Assessment of saltmarsh vegetation in coastal and transitional waters 0,80 0,60 Ireland SMAATIE – Saltmarsh Angiosperm Assessment Tool for Ireland 0,80 0,60 Netherlands TSM – WFD-metrics for natural watertypes: tidal salt marsh 0,80 0,60 Biological Quality Element Macroalgae and Angiosperms Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA 8b Sweden MSMDI (macroalgae and angiosperms) 0,80 0,60 Denmark Depth limit of angiosperms 0,90 0,74 Biological Quality Element Benthic Invertebrate fauna Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Type NEA 1/26 Portugal RAT – Rocky Shore Assessment Tool 0,800 0,600 Spain BO2A – Benthic Opportunistic polychaetes/amphipods index 0,83 0,50 Type NEA 5* Germany MarBIT – Marine Biotic Index Tool 0,80 0,60 Water category Coastal waters Geographical Intercalibration Group Mediterranean Sea Biological Quality Element Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Parameter values are expressed in μg/l of Chlorophyll a, for the 90th percentile calculated over the year in at least a five-year period. Country and Type Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary Type I France 0,670 0,330 4,925 10,000 Italy 0,850 0,620 5,600 14,100 Type II A Tyrrhenian Italy 0,84 0,62 1,17 2,90 Type III W Adriatic Italy 1,7 ( *4 ) Croatia 1,7 ( *4 ) Type III W Tyrrhenian Italy 1,17 ( *4 ) Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Greece CymoSkew 0,75 0,50 Water category Transitional waters Geographical Intercalibration Group Baltic Sea Biological Quality Element Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values The following results refer to summer mean June – September Country Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary Latvia 0,83 0,67 2,4 3,0 Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Latvia Not applicable Poland ESMIz-Ecological State Macrophyte index for lagoon 0,68 0,41 Biological Quality Element Benthic Invertebrate fauna Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Latvia BQI-Benthic Quality Index 0,784 0,588 Poland B-Macrozoobenthos BQE assessment by multimetric index 0,765 0,647 Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Poland PMFI-Polish Multimetric Fish Index 0,80 0,60 Water category Transitional waters Geographical Intercalibration Group North East Atlantic Biological Quality Element Phytoplankton Phytoplankton: parameter indicative of biomass parameter (Chlorophyll a) Results: Ecological quality ratios and parameter values Parameter values are expressed in μg/l as the 90 %ile value calculated over the defined growing season Country Ecological Quality Ratios Values (μg/l) High-good boundary Good-moderate boundary High-good boundary Good-moderate boundary Belgium 1,00 0,60 100 200 Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Saltmarshes Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Belgium TMQI -Tidal Marsh Quality Index 0,85 0,75 Germany EM – Assessment of saltmarsh vegetation in coastal and transitional waters 0,80 0,60 Ireland SMAATIE – Saltmarsh Angiosperm Assessment Tool for Ireland 0,80 0,60 Netherlands TSM – WFD-metrics for natural watertypes: tidal salt marsh 0,80 0,60 Biological Quality Element Macroalgae and Angiosperms Sub-Biological Quality Element Angiosperms Seagrasses Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Spain – Cantabria AQI – Angiosperms Quality Index 0,850 0,700 Biological Quality Element Benthic Invertebrate fauna Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Belgium BEQI – Benthic Ecosystem Quality Index 0,75 0,5 Sub type D Germany AeTV – Aestuar Type Verfahren 0,80 0,60 Ireland IQI – Infaunal Quality Index 0,75 0,64 Spain TasBEM – Taxonomically Sufficient Benthic Multimetric 0,79 0,66 Sub type E Germany AeTV – Aestuar Type Verfahren 0,80 0,60 Germany M-AMBI 0,85 0,70 Ireland IQI – Infaunal Quality Index 0,75 0,64 Spain TasBEM – Taxonomically Sufficient Benthic Multimetric 0,79 0,66 Sub type F Ireland IQI – Infaunal Quality Index 0,75 0,64 Spain TasBEM – Taxonomically Sufficient Benthic Multimetric 0,79 0,66 Water category Transitional waters Geographical Intercalibration Group Mediterranean Sea Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Coastal lagoons oligohaline and mesohaline Spain (Balearic Islands) FITOHMIB 0,93 0,73 Estuaries Spain (Southern Coast) TWIf – Phytoplankton index for transitional waters 0,50 0,36 Croatia MPI – Multimetric Phytoplankton Index 0,80 0,60 Biological Quality Element Macroalgae and Angiosperms Sub Biological Quality Element Angiosperms Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Estuaries Croatia ZonoMI index – Zostera noltei multivariate index 0,775 0,550 Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification systems Country and Type National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Coastal lagoons Oligohaline. Mesohaline and Polyhaline Spain (Balearic Islands) INVHMIB 0,93 0,73 Coastal lagoons Oligohaline Spain (Northeastern Coast) QAELS 0,86 0,58 Coastal lagoons Mesohaline Spain (Northeastern Coast) QAELS 0,72 0,62 Estuarie s Croatia AMBI 0,80 0,60 Spain (without salt wedge – Southern Coast) BO2A 0,87 0,45 Spain (with salt wedge – Southern Coast) BO2A 0,87 0,52 Biological Quality Element Fish fauna Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Coastal lagoons Mesohaline and Polyhaline chocked and restricted Italy HFBI – Habitat Fish Bio-Indicator 0,94 0,55 Estuaries Croatia M-EFI – Modified Estuarine Fish Index 0,80 0,60 Water category Transitional waters Geographical Intercalibration Group Black Sea Biological Quality Element Phytoplankton Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Romania IBI – Integrated Biological Index 0,70 0,42 Biological Quality Element Benthic invertebrate fauna Results: Ecological quality ratios of national classification systems Country National classification systems Ecological Quality Ratios High-good boundary Good-moderate boundary Romania M-AMBI(n) – Multivariate AZTI’s Marine Biotic Index Normalized 0,90 0,68 Part 3 Water category Rivers Geographical Intercalibration Group Alpine Country Type Biological Quality Element Austria R-A1 and R-A2 Macrophytes France Macrophytes Germany Macrophytes Italy Macrophytes Slovenia Macrophytes Spain Macrophytes Water category Rivers Geographical Intercalibration Groups Mediterranean Country Type Biological Quality Element Cyprus National river types Fish fauna Water Category Rivers Geographical Intercalibration Groups Very Large Rivers Country Type Biological Quality Element Finland R-L1 Phytoplankton Italy R-L2 Phytoplankton Norway R-L1 Phytoplankton Sweden R-L1 Phytoplankton Water Category Lakes Geographical Intercalibration Groups Cross-GIG Country Type Biological Quality Element Austria All national lake types Phytobenthos Estonia Phytobenthos Latvia Phytobenthos Netherlands Phytobenthos Norway Phytobenthos Spain Phytobenthos Water category Lakes Geographical Intercalibration Groups Mediterranean Country Type Biological Quality Element Cyprus National lake types Fish fauna Spain Fish fauna Water category Coastal waters Geographical Intercalibration Group Baltic Sea Country Type Biological Quality Element Finland BC1, BC3 Sub-Biological Quality element Angiosperms Poland BC5 Macroalgae and angiosperms Water category Transitional waters Geographical Intercalibration Group Baltic Sea Country Type Biological Quality Element Latvia National types Macroalgae and angiosperms Water category Transitional waters Geographical Intercalibration Group North East Atlantic Country Type Biological Quality Element Germany NEA 11 Phytoplankton Water category Transitional waters Geographical Intercalibration Group Mediterranean sea Country Type Biological Quality Element Croatia Estuaries Sub-Biological Quality element Macroalgae Water category Transitional waters Geographical Intercalibration Group Black Sea Country Type Biological Quality Element Romania National types Macroalgae and angiosperms ( *1 ) High-Good boundary is not defined for reservoirs (both LM5/7 and LM8 types are reservoirs). ( *2 ) Salinity ranges stablished by the median (P50) salinity as follows: Euhaline [30,1-34,4] PSU; Polyhaline [18,1-30,0] PSU; Mesohaline [5,1-18,0] PSU; Oligohaline [0,5-5,0] PSU. ( *3 ) Spain and France do not consider distinction between restricted or chocked lagoons. ( *4 ) The values are not national boundaries but threshold values.

ANNEX 2Supplementary provisions

ANNEX 2 The following tables list the EU Member States and EEA EFTA States (hereafter ‘Countries’) participating in the indicated Geographical Intercalibration Group (established for each surface water category, i.e. rivers, lakes, coastal waters and transitional waters). 1. RIVERS Name of the Geographical Intercalibration Group Countries participating in Geographical Intercalibration Northern Finland Ireland Norway Sweden Central/Baltic Austria Belgium Czechiac Denmark Estonia France Germany Ireland Italy Latvia Lithuania Luxembourg Netherlands Poland Spain Sweden Alpine Austria France Germany Italy Slovenia Spain Eastern Continental Austria Bulgaria Croatia Czechia Greece Hungary Romania Slovakia Slovenia Mediterranean Bulgaria Croatia Cyprus France Greece Italy Malta Portugal Slovenia Spain 2. LAKES Name of the Geographical Intercalibration Group Countries participating in Geographical Intercalibration Northern Finland Ireland Norway Sweden Central/Baltic Belgium Czechia Denmark Estonia France Germany Ireland Latvia Lithuania Netherlands Poland Alpine Austria France Germany Italy Slovenia Eastern Continental Bulgaria Hungary Romania Mediterranean Croatia Cyprus France Greece Italy Portugal Spain 3. COASTAL WATERS Name of the Geographical Intercalibration Group Countries participating in Geographical Intercalibration Baltic Denmark Estonia Finland Germany Latvia Lithuania Poland Sweden North Atlantic Belgium Denmark France Germany Ireland Netherlands Norway Portugal Spain Sweden Mediterranean Croatia Cyprus France Greece Italy Malta Slovenia Spain Black Sea Bulgaria Romania 4. TRANSITIONAL WATERS Name of the Geographical Intercalibration Group Countries participating in Geographical Intercalibration Baltic Latvia Lithuania Poland Sweden North Atlantic Belgium France Germany Ireland Netherlands Portugal Spain Sweden Mediterranean Croatia France Greece Italy Spain Black Sea Bulgaria Romania

Source: EUR-Lex (Publications Office of the EU), © European Union, reuse permitted under Commission Decision 2011/833/EU.

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