COMMISSION DECISION (EU) 2018/229
of 12 February 2018
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 2013/480/EU
(notified under document C(2018) 696)
(Text with EEA relevance)
Article 1
Article 2
Article 3
ANNEX
-- PART 1 --
| Water category | Rivers | 
| Geographical Intercalibration Group | Alpine rivers | 
| Type | River characterisation | Catchment (km2) | 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 | 
| ALPINE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrate fauna | 
| 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 | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF-T-90-350 and arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,93 | 0,79 | 
| 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 (Alps) | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF-T-90-350 and arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,93 | 0,71 | 
| France (Pyrenees) | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF-T-90-350 and arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,94 | 0,81 | 
| 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 | 
| 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] | 0,88 | 0,56 | 
| 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 | 0,7 | 
| 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] | 0,88 | 0,56 | 
| 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 | 
| Type | River characterisation | Catchment (km2) | 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 | 
| CENTRAL-BALTIC RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrate fauna | 
| 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) | 
| Czech Republic | 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 | 
| Germany | PERLODES — Bewertungsverfahren von Fließgewässern auf Basis des Makrozoobenthos | 0,80 | 0,60 | 
| France | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF T90-350 et arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,94 | 0,80 | 
| 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 (LRMI) | 0,80 | 0,60 | 
| Luxembourg | Classification luxembourgeoise DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF-T-90-350, AFNOR XP T 90-333 and XP T 90-388 | 0,96 | 0,72 | 
| 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 | 
| Sweden | DJ-index (Dahl & Johnson 2004) | 0,80 | 0,60 | 
| United Kingdom | River Invertebrate Classification Tool (RICT)- WHPT | 0,97 | 0,86 | 
| CENTRAL-BALTIC RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-Biological Quality Element | Macrophytes | 
| 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 | 
| Czech Republic | Assessment method of surface running water bodies in the Czech Republic 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 | 
| 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-C | 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 | ||
| United Kingdom | River LEAFPACS 2 | R-C1, R-C3 and R-C4 (*1) | 0,80 | 0,60 | 
| CENTRAL-BALTIC RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-Biological Quality Element | Phytobenthos | 
| 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 | 0,70 | 0,42 | 
| All types, altitude > 500 m | 0,71 | 0,43 | ||
| 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 | 
| Czech Republic | Czech assessment method for rivers using phytobenthos | R-C3, R-C4, R-C5 | 0,80 | 0,63 | 
| 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 | 
| Lithuania | Lithuanian 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 | 
| United Kingdom | Diatom Assessment for River Ecological Status (DARLEQ2) | All types | 1,00 | 0,75 | 
| Water category | Rivers | 
| Geographical Intercalibration Group | Eastern Continental rivers | 
| Type | River characterisation | Ecoregion | Catchment (km2) | 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 | 
| EASTERN CONTINENTAL RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrate fauna | 
| 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 | ||
| Czech Republic | 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 | 0,74 | 0,58 | 
| 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 | 
| 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 | ||
| Czech Republic | Assessment method of surface running water bodies in the Czech Republic using biological quality element macrophytes | R-E2, R-E3 | 0,750 | 0,500 | 
| Czech Republic | Assessment method of surface running water bodies in the Czech Republic 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 | 
| Country | National classification systems intercalibrated | Type | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | |||
| Austria | Assessment of the biological quality elements — part phytobenthos | R-E4 | 0,70 | 0,42 | 
| 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) | 
| Czech Republic | 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-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 | 
| Type | River characterisation | Catchment (km2) | Geology | Flow regime | 
| R-M1 | Small Mediterranean streams | < 100 | Mixed (except silicious) | Highly seasonal | 
| R-M2 | Medium Mediterranean streams | 100 — 1 000 | Mixed (except silicious) | Highly seasonal | 
| R-M4 | Mediterranean mountain streams | 
 | Non-silicious | Highly seasonal | 
| R-M5 | Temporary streams | 
 | 
 | Temporary | 
| MEDITERRANEAN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrate fauna | 
| Type and Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | ||
| R-M1 | 
 | 
 | 
 | 
| France | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF T90-350 et arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,940 | 0,700 | 
| 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 | 
| France | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF T90-350 et arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,940 | 0,700 | 
| 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 | Classification française DCE Indice Biologique Global Normalisé (IBGN). AFNOR NF T90-350 et arrêté ministériel du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface | 0,940 | 0,700 | 
| 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 | 
 | 
 | 
 | 
| 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 | 
| MEDITERRANEAN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-Biological Quality Element | Macrophytes | 
| 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 | 
| Cyprus | 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 | IBMR — Biological Macrophyte Index for Rivers | 0,920 | 0,690 | 
| Slovenia | 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 | 
| 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 | 
| 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 | 
| 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 | 
 | 
 | 
 | 
| 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 | 
| Water category | Rivers | 
| Geographical Intercalibration Group | Northern rivers | 
| Type | River characterisation | Catchment area of stretch (km2) | 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 | 
| NORTHERN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrate fauna (methods sensitive for organic enrichment and general degradation) | 
| 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 | 
| United Kingdom | River Invertebrate Classification Tool (RICT)- WHPT | 0,97 | 0,86 | 
| Biological Quality Element | Benthic invertebrate fauna (methods sensitive for acidification) | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | ||
| Norway | AcidIndex2 (Modified Raddum index2) (river acidification) | 0,675 | 0,515 | 
| United Kingdom — Scotland | WFD-AWIC | 0,910 | 0,830 | 
| United Kingdom — England and Wales | WFD-AWIC | 0,980 | 0,890 | 
| 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 | 
| United Kingdom | WFD-AWIC | 0,930 | 0,830 | 
| NORTHERN RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-Biological Quality Element | Macrophytes | 
| 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 | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | ||
| Finland | Finnish river phytobenthos method | 0,80 | 0,60 | 
| Sweden | Indice de Polluosensibilité Spécifique (IPS) | 0,89 | 0,74 | 
| Ireland | Revised form of Trophic Diatom Index (TDI) | 0,93 | 0,78 | 
| United Kingdom | DARLEQ 2 | 1,00 | 0,75 | 
| Norway | Periphyton Index of Trophic Status (PIT) | 0,99 (Ca ≤ 1 mg/l) | 0,83 | 
| 0,95 (Ca > 1 mg/l) | |||
| Water category | Rivers | 
| Geographical Intercalibration Groups | All | 
| Biological Quality Element | Fish fauna | 
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 | 
| 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 | 
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 | 
| United Kingdom — Northern Ireland | IR_FCS2 | 0,845 | 0,540 | 
| United Kingdom — Scotland | FCS2 Scotland | 0,850 | 0,600 | 
Mediterranean group
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | ||
| 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 | 
Alpine 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 | 
| Czech Republic | 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 | 
| Water Category | Rivers | 
| Geographical Intercalibration Groups | All — Very Large Rivers | 
| Type | River characterisation | Catchment area of stretch (km2) | 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 | 
| VERY LARGE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP | |
| Biological Quality Element | Benthic invertebrate fauna | 
| 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 | 
| Czech Republic | Czech system for ecological status assessment of large non-wadeable rivers using benthic macroinvertebrates | 0,80 | 0,60 | 
| Germany | Germany PTI — Potamon-Typie-Index | 0,80 | 0,60 | 
| Estonia | Estonian surface water ecological quality assessment _ large river macroinvertebrates | 0,90 | 0,70 | 
| Spain | IBMWP — Iberian Biological Monitoring Working Party | 0,79 | 0,48 | 
| Finland | Revised Finnish river invertebrate fauna assessment method | 0,80 | 0,60 | 
| 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 | 
| Lithuania | Lithuanian River Macroinvertebrate Index | 0,80 | 0,60 | 
| Latvia | LRMI — Latvian large River Macroinvertebrate Index | 0,88 | 0,63 | 
| 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 | 
| Romania | ECO-BENT — Assessment method for ecological status of water bodies based on macroinvertebrates | 0,79 | 0,53 | 
| Sweden | Average Score Per Taxon (ASPT) and DJ-index | 0,80 | 0,60 | 
| Slovenia | Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev | 0,80 | 0,60 | 
| Slovakia | Slovak assessment of benthic invertebrates in large rivers | 0,80 | 0,60 | 
| VERY LARGE RIVERS GEOGRAPHICAL INTERCALIBRATION GROUP | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| Czech Republic | 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 | 
| Lithuania | German PhytoFluss-Index for lowland rivers of type 15.2 | 0,80 | 0,60 | 
| Latvia | Latvian Large River Phytoplankton Index | 0,80 | 0,60 | 
| Poland | IFPL metric — Method for large rivers assessment using phytoplankton | 1,08 | 0,92 | 
| 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 | 
| Country and Type | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | ||
| R-L1 | 
 | 
 | 
 | 
| Finland | 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 | 
| Czech Republic | 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 | 
| Spain | IPS (Coste in Cemagref, 1982) | 0,68 | 0,48 | 
| Germany | Verfahrensanleitung für die ökologische Bewertung von Fließgewässern zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Diatomeen | 0,725 | 0,55 | 
| Croatia | Ecological status assessment system for phytobenthos in rivers based on diatoms | 0,8 | 0,61 | 
| 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) | ||
| Netherlands | WFD-metrics for natural water types | 0,80 | 0,60 | 
| Portugal | IPS — Specific Pollution Sensitivity Index | 0,90 (national type R_GRS/Guadiana river) | 0,67 (national type R_GRS/Guadiana river) | 
| 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 | 
| Water category | Lakes | 
| Geographical Intercalibration Group | Alpine lakes | 
| Type | Lake characterisation | Altitude (m above sea level) | Mean depth (m) | Alkalinity (meq/l) | Lake size (km2) | 
| 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 | 
| ALPINE LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| Slovenia | Metodologija vrednotenja ekološkega stanja jezer na podlagi bentoških nevretenčarjev | 0,80 | 0,60 | 
| Germany | AESHNA — Bewertungsverfahren für das eulitorale Makrozoobenthos in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland | 0,80 | 0,60 | 
| ALPINE LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Fish fauna | 
| 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 | 
| Water category | Lakes | 
| Geographical Intercalibration Group | Central/Baltic lakes | 
| 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 | 
| CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 Phytoplankton Index (PSI) | 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 | 
| UK | Phytoplankton Lake Assessment Tool with Uncertainty Module (PLUTO) | 0,80 | 0,60 | 
| CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-Biological Quality Element | Macrophytes | 
| 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 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 | 
| UK | Lake LEAFPACS 2 (*2) | All types | 0,80 | 0,66 | 
| CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrate fauna | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-good boundary | Good-moderate | ||
| Belgium (Flanders) | Multimetric Macroinvertebrate Index Flanders (MMIF) | 0,90 | 0,70 | 
| 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 | 
| UK | Chironomid Pupal Exuvial Technique (CPET) | 0,77 | 0,64 | 
| CENTRAL-BALTIC LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Fish fauna | 
| 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 | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-good boundary | Good-moderate | ||
| Czech Republic | 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 | 
| 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 | 
| EASTERN CONTINENTAL LAKES GEOGRAPHICAL INTERCALIBRATION GROUP | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| 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 | 
| EASTERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP | |
| Biological Quality Element | Fish fauna | 
| Water category | Lakes | 
| Geographical Intercalibration Group | Mediterranean lakes | 
| Type | Lake characterization | Altitude (m) | Annual mean precipitation (mm) and T ( oC) | Mean depth (m) | Area (km2) | Catchment (km2) | 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 | 
| 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. (*3) | 0,60 | 
| Greece | New Mediterranean Assessment System for Reservoirs (NMASRP) | n.d. (*3) | 0,60 | 
| Italy | New Italian Method (NITMET) | n.d. (*3) | 0,60 | 
| Portugal | Reservoirs Biological Quality Assessment Method — Phytoplankton (New Mediterranean Assessment System for Reservoirs Phytoplankton: NMASRP). | n.d. (*3) | 0,60 | 
| Spain | Mediterranean Assessment System for Reservoirs Phytoplankton (MASRP). | n.d. (*3) | 0,58 | 
| L-M8 | |||
| Cyprus | New Mediterranean Assessment System for Reservoirs Phytoplankton (NMASRP). | n.d. (*3) | 0,60 | 
| France | Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre | n.d. (*3) | 0,60 | 
| Greece | New Mediterranean Assessment System for Reservoirs (NMASRP) | n.d. (*3) | 0,60 | 
| Italy | New Italian Method (NITMET) | n.d. (*3) | 0,60 | 
| Spain | Mediterranean Assessment System for Reservoirs Phytoplankton (MASRP). | n.d. (*3) | 0,60 | 
| Water category | Lakes | 
| Geographical Intercalibration Group | Northern lakes | 
| NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| UK | Phytoplankton Lake Assessment Tool with Uncertainty Module (PLUTO) | 0,80 | 0,60 | 
| NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-Biological Quality Element | Macrophytes | 
| Type | Lake characterisation | Alkalinity (meq/l) | Color(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 | 
| 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 | 
| UK | Lake LEAFPACS 2 (*4) | 0,8 (all types) | 0,66 (all types) | 
| UK | Free Macrophyte Index (*5) | 0,9 (all types) | 0,68 (all types) | 
| NORTHERN LAKES GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Benthic invertebrates Fauna | 
| 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 km2, max depth > 6 m | < 0,2 | n.d. | 
| Country | National classification methods intercalibrated | Ecological Quality Ratios | |
| High-good | Good-moderate | ||
| 
 | Lake littoral acidification | 
 | 
 | 
| Norway | MultiClear: Multimetric Invertebrate Index for Clear Lakes | 0,95 | 0,74 | 
| Sweden | MILA: Multimetric Invertebrate Lake Acidification index | 0,85 | 0,60 | 
| UK | LAMM (Lake Acidification Macroinvertebrate Metric) | 0,86 | 0,70 | 
| 
 | 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 | 
| Type | Lake characterisation | Lake area km2 | 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 | 
| 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 | 
| UK (Northern 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 | 
| 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 | 
| Country a 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 | 
| 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 | 
| Sweden | IPS | 0,89 | 0,74 | 
| Slovenia | Metodologija vrednotenja ekološkega stanja jezer na podlagi fitobentosa in makrofitov, fitobentos | 0,80 | 0,60 | 
| UK | DARLEQ 2 | 0,92 | 0,70 | 
| MA type | |||
| Belgium (Flanders) | Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD) | 0,80 | 0,60 | 
| Finland | 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 | 
| Romania | National (Romanian) Assessment Method for Natural Lakes Ecological Status based on Phytobenthos (Diatoms) RO-AMLP | 0,80 | 0,60 | 
| Sweden | IPS | 0,89 | 0,74 | 
| UK | DARLEQ 2 | 0,93 | 0,66 | 
| LA type | |||
| Ireland | Lake Trophic Diatom Index (IE) | 0,90 | 0,66 | 
| UK | DARLEQ 2 | 0,92 | 0,70 | 
| Water category | Coastal waters | 
| Geographical Intercalibration Group | Baltic Sea | 
| 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) | 
| BALTIC SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| 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 | 
| 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 — Lithuanian 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 | 
| 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 oC) and high irradiance (mainly, PAR > 29 Mol/m2 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 oC) and medium irradiance (mainly, PAR < 29 Mol/m2 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 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |||
| Biological Quality Element | Phytoplankton | ||
| 
 | |||
| 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 | 
| United Kingdom | 0,80 | 0,60 | 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 | 
| United Kingdom (south) | 0,82 | 0,63 | 9,80 | 14,30 | 
| United Kingdom (north) | 0,80 | 0,60 | 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 | 
| 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 | 
| United Kingdom | RSL — Rocky Shore Reduced Species List | 0,80 | 0,60 | 
| Type NEA 7 intertidal macroalgae | 
 | ||
| Norway | RSLA — Rocky Shore Reduced Species List with Abundance | 0,80 | 0,60 | 
| United Kingdom | RSL — Rocky Shore Reduced Species List | 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 | 
| 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 | 
| United Kingdom | OMBT — Opportunistic macroalgal blooming tool | 0,80 | 0,60 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Angiosperms | 
| 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 | 
| United Kingdom | Intertidal Seagrass tool | 0,80 | 0,61 | 
| 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 | 
| 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 | 
| United Kingdom | IQI — Infaunal Quality Index | 0,75 | 0,64 | 
| 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 | 
| United Kingdom | IQI — Infaunal Quality Index | 0,75 | 0,64 | 
| 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 | 
| Type | Description | Density (kg/m3) | 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 | 
| MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| MEDITERRANEAN SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Macroalgae | 
| 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 | 
| 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 | 
| 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 | 
 | 
| 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 | 
| Cyprus | Bentix | 0,75 | 0,58 | 
| France | AMBI | 0,83 | 0,58 | 
| Greece | 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 | 
| Type | Description | 
| CW-BL1 | Mesohaline, microtidal (< 1 m), shallow (< 30 m), moderately exposed to very exposed, mixed substratum (fine sand for zoobenthos) | 
| BLACK SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| BALTIC SEA GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| Sub type | Characterisation | MS sharing sub-type | 
| A | Lagoons | Ireland, Spain, United Kingdom | 
| B | Freshwater-oligohaline, medium river flow | Ireland, Spain, United Kingdom | 
| C | Mesotidal estuary with irregular river flow | Portugal, Spain | 
| D | Large estuaries | Germany, Ireland, Netherlands, Portugal, Spain, United Kingdom | 
| E | Small-medium estuary with > 50 % intertidal area | Ireland, Germany, Spain, United Kingdom | 
| F | Small-medium estuary with < 50 % intertidal area | Ireland, Portugal, Spain, United Kingdom | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element: | Phytoplankton | 
| 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 (*6) | 0,67 | 0,44 | 8,00 | 12,00 | 
| Spain — Central Cantabrian and Galician estuaries — Euhaline (*6) | 0,67 | 0,33 | 4,00 | 8,00 | 
| Spain — East Cantabrian estuaries — Euhaline (*6) | 0,67 | 0,33 | 1,95 | 3,90 | 
| Spain — East Cantabrian estuaries — Polyhaline (*6) | 0,67 | 0,33 | 3,30 | 6,60 | 
| Spain — East Cantabrian estuaries — Mesohaline (*6) | 0,67 | 0,33 | 5,10 | 10,20 | 
| Spain — East Cantabrian estuaries — Oligohaline (*6) | 0,67 | 0,33 | 6,60 | 13,20 | 
| Spain — Gulf of Cádiz estuaries — Mixing zone (*6) | 0,67 | 0,33 | 3,75 | 7,50 | 
| Spain — Gulf of Cádiz estuaries — Euhaline (*6) | 0,67 | 0,33 | 3,00 | 6,00 | 
| United Kingdom | 0,80 | 0,60 | 10,00 | 15,00 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element: | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Macroalgae | 
| 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 | 
| United Kingdom | OMBT- Opportunistic macroalgal blooming tool | 0,80 | 0,60 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element: | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Angiosperms | 
| 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 | 
| United Kingdom | Intertidal Seagrass tool | 0,80 | 0,61 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element: | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Angiosperms | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| Spain — Cantabria | AQI — Angiosperm Quality Index | 0,88 | 0,73 | 
| Portugal | AQuA — Angiosperm Quality Assessment Index | 0,800 | 0,600 | 
| United Kingdom | SM — UK Saltmarsh Tool | 0,800 | 0,600 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element: | Benthic invertebrate fauna | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| Sub type D | |||
| 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 | 0,838 | 0,582 | 
| Sub type E | |||
| 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 | |||
| Spain | M-AMBI — Multivariate AZTI’s Marine Biotic Index | 0,770 | 0,530 | 
| Portugal | BAT- Benthic Assessment Tool | 0,806 | 0,580 | 
| NORTH EAST ATLANTIC GEOGRAPHICAL INTERCALIBRATION GROUP RESULTS | |
| Biological Quality Element: | Fish fauna | 
| 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 | 
| United Kingdom | TFCI — Transitional Fish Classification Index | 0,810 | 0,580 | 
| United Kingdom | EMFI — Estuarine Multi-metric Fish Index | 0,920 | 0,650 | 
| Water category | Transitional waters | 
| Geographical Intercalibration Group | Mediterranean Sea | 
| 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) | |
| CL-Polyhaline chocked and restricted | Coastal lagoons (Salinity 18 — 40 psu) | |
| 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 | 
| 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 | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| 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 | 
| 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 | 
| CL-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 River fish fauna | 
| Biological Quality Element | Fish fauna | 
| Country | National classification systems intercalibrated | Ecological Quality Ratios | |
| High-Good boundary | Good-Moderate boundary | ||
| Italy | NISECI index (New Index of Ecological Status of Fish Communities) | 0,80 | 0,60 | 
| Bulgaria | TsBRI (Type Specific Bulgarian Fish Index) | 0,860 | 0,650 | 
| Water category | Rivers | 
| Geographical Intercalibration Group | Cross-GIG Very Large Rivers | 
| Biological Quality Element | Macrophytes and Phytobenthos | 
| Sub-biological Quality Element | Phytobenthos | 
| 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 fauna | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| Greece | HeLM — Hellenic Lake Macrophytes Assessment Method | 0,80 | 0,60 | 
| Italy | VLMMI — Volcanic Lakes Multimetric Macrophyte Index | 0,70 | 0,50 | 
| Biological Quality Element | Benthic Invertebrate fauna | 
| Country | National classification methods | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| Greece | GLBiI — Greek Lake Benthic invertebrate Index | 0,80 | 0,60 | 
| Italy | BQIES (Benthic Quality Index Expected Species number) | 0,88 | 0,76 | 
| Biological Quality Element | Fish fauna | 
| Country | National classification methods | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| 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 | Fish fauna | 
| 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 | 
| Water category | Coastal waters | 
| Geographical Intercalibration Group | Baltic Sea | 
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 eelgrass, Zostera marina (angiosperm) | 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 | 
| Country and Type | Ecological Quality Ratios | Parameter values/ranges Depth limit (m) Eelgrass Zoster marina | ||
| High-good boundary | Good-moderate boundary | High-good boundary | Good-moderate boundary | |
| BC8 | ||||
| Denmark Open coast | 0,90 | 0,74 | 8,5 | 7 | 
| Biological Quality Element | Benthic Invertebrate fauna | 
| 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 | 
| Country and Type | National classification systems | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| NEA 7 | |||
| United Kingdom | Phytoplankton tool | 0,80 | 0,60 | 
| 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 | 
| United Kingdom (inshore/North Sea) | 0,67 | 0,33 | 10,00 | 15,00 | 
| United Kingdom (Atlantic) | 0,67 | 0,33 | 5,00 | 10,00 | 
| Biological Quality Element | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Macroalgae | 
| 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 | 
| 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 | 
| 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 | 
| United Kingdom | SM — UK Saltmarsh Tool | 0,80 | 0,60 | 
| Biological Quality Element | Macroalgae and Angiosperms | 
| 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 eelgrass Zostera marina (angiosperm) | 0,90 | 0,74 | |
| Biological Quality Element | Benthic Invertebrate fauna | 
| 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 | 
| 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 (*8) | 
| Type III W Tyrrhenian | ||||
| Italy | 
 | 
 | 
 | 1,17 (*8) | 
| Biological Quality Element | Macroalgae and Angiosperms | 
| Sub-Biological Quality Element | Angiosperms | 
| Country | National classification systems | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| Greece | CymoSkew | 0,75 | 0,5 | 
| Water category | Transitional waters | 
| Geographical Intercalibration Group | North East Atlantic | 
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 | 
| 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 | 
| 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 | 
| United Kingdom | IQI — Infaunal Quality Index | 0,75 | 0,64 | 
| 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 | 
| United Kingdom | IQI — Infaunal Quality Index | 0,75 | 0,64 | 
| Sub type F | |||
| Ireland | IQI — Infaunal Quality Index | 0,75 | 0,64 | 
| Spain | TasBEM — Taxonomically Sufficient Benthic Multimetric | 0,79 | 0,66 | 
| United Kingdom | IQI — Infaunal Quality Index | 0,75 | 0,64 | 
| Water category | Transitional waters | 
| Geographical Intercalibration Group | Mediterranean Sea | 
| Biological Quality Element | Phytoplankton | 
| 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 | Benthic invertebrate fauna | 
| 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 | 
| Estuaries | |||
| 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 | 
| Country | National classification systems | Ecological Quality Ratios | |
| High-good boundary | Good-moderate boundary | ||
| Italy | HFBI — Habitat Fish Bio-Indicator | 0,94 | 0,55 | 
| Croatia | M-EFI — Modified Estuarine Fish Index | 0,80 | 0,60 | 
| Water category | Transitional waters | 
| Geographical Intercalibration Group | Black Sea | 
| Biological Quality Element | Phytoplankton | 
| 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 | 
| 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 |