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,


 Type R-A1 ,,,,
Austria,Assessment of the biological quality elements — part benthic invertebrates [Erhebung der biologischen Qualitätselemente — Teil Makrozoobenthos (Detaillierte MZB-Methode)],0,8,0,6,
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,0,8,0,6,
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,0,8,0,6,
 Type R-A2 ,,,,
Austria,Assessment of the biological quality elements — part benthic invertebrates [Erhebung der biologischen Qualitätselemente — Teil Makrozoobenthos (Detaillierte MZB-Methode)],0,8,0,6,
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,


 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,0,8,0,6,
 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,

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,


Austria,Assessment of the biological quality elements — part benthic invertebrates,0,8,0,6,
Belgium (Flanders),Multimetric Macroinvertebrate Index Flanders (MMIF),0,9,0,7,
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,0,8,0,6,
Denmark,Danish Stream Fauna Index (DSFI),1,0,0,71,
Estonia,Estonian surface water ecological quality assessment — river macroinvertebrates,0,9,0,7,
Germany,PERLODES — Bewertungsverfahren von Fließgewässern auf Basis des Makrozoobenthos,0,8,0,6,
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,0,94,0,8,
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),0,8,0,6,
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,0,8,0,6,
Poland,RIVECOmacro — MMI_PL,0,91(type R-C1),0,72 (type R-C1),
Spain,METI,0,93,0,7,
Sweden,DJ-index (Dahl & Johnson 2004),0,8,0,6,
United Kingdom,River Invertebrate Classification Tool (RICT)- WHPT,0,97,0,86,
    For the United Kingdom these results also apply to the common intercalibration types belonging to the Northern Geographical Intercalibration Group    ,


Austria,AIM for Rivers (Austrian Index Macrophytes for rivers),RC-3,0,875,0,625,
Belgium (Flanders),MAFWAT — Flemish macrophyte assessment system,R-C1,0,8,0,6,
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-C4,0,7,0,5,
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-C3,0,8,0,55,
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-C1,0,9,0,8,
R-C4,0,9,0,8,
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,0,8,0,6,
Poland,MIR — Macrophyte Index for Rivers,R-C1,0,9,0,65,
R-C3,0,91,0,684,
R-C4,0,9,0,65,
United Kingdom,River LEAFPACS 2,R-C1, R-C3 and R-C4 ,0,8,0,6,


Austria,Assessment of the biological quality elements — part Phytobenthos [Leitfaden zur Erhebung der biologischen Qualitätselemente, Teil A3 -Fließgewässer/Phytobenthos],All types, altitude < 500 m,0,7,0,42,
All types, altitude > 500 m,0,71,0,43,
Belgium (Flanders),Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD),All types,0,8,0,6,
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-C5,0,8,0,63,
Estonia,Indice de Polluosensibilité Spécifique (IPS),All types,0,85,0,7,
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,0,89,0,7,
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,0,8,0,6,
Poland,Indeks Okrzemkowy IO dla rzek (Diatom Index for rivers),All types,0,8,0,58,
Spain,Diatom multimetric (MDIAT),R-C2, R-C3, R-C4,0,93,0,7,
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,1,0,0,75,

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,


Austria,Assessment of the biological quality elements — part benthic invertebrates,R-E4,0,8,0,6,
Bulgaria,IBI (BG) (Irish Biotic Index (BG)),R-E1a, R-E1b,0,86,0,67,
R-E2, R-E3,0,8,0,6,
Czech Republic,Czech system for ecological status assessment of rivers using benthic macroinvertebrates,R-E1a, R-E1b, R-E2, R-E3,0,8,0,6,
Hungary,Hungarian Multimetric Macroinvertebrate Index,R-E1b, R-E3, R-E4, R-EX5, R-EX6,0,8,0,6,
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-EX6,0,8,0,6,
Slovakia,Slovak assessment of benthic invertebrates in rivers,R-E1a, R-E1b, R-E2, R-E3, R-E4, R-EX4,0,8,0,6,


Austria,AIM for Rivers (Austrian Index Macrophytes for rivers),R-E4,0,875,0,625,
Bulgaria,Reference Index,R-E2, R-E3,0,57,0,37,
R-E4,0,51,0,27,
Czech Republic,Assessment method of surface running water bodies in the Czech Republic using biological quality element macrophytes,R-E2, R-E3,0,75,0,5,
Czech Republic,Assessment method of surface running water bodies in the Czech Republic using biological quality element macrophytes,R-E4,0,77,0,56,
Hungary,Reference Index,R-E2, R-E3,0,7,0,37,
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-E4,0,8,0,6,
Slovakia,Macrophyte Biological Index for Rivers (IBMR-SK),R-E2, R-E3, R-E4,0,8,0,6,


Austria,Assessment of the biological quality elements — part phytobenthos,R-E4,0,7,0,42,
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-EX4,0,8,0,6,
Hungary,Ecological status assessment for rivers based on diatoms,R-E2, R-E3, R-EX5,0,8,0,6,
Romania,National (Romanian) Assessment Method for Rivers Ecological Status based on Phytobenthos (Diatoms) RO-AMRP,R-E1a, R-E1b, R-E3,0,8,0,6,
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos,R-E4, R-EX5, R-EX6, R-EX7, R-EX8,0,8,0,6,
Slovakia,Ecological status assessment system for rivers using phytobenthos,R-E1a, R-E1b, R-E2, R-E3, R-E4, R-EX4,0,9,0,7,

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,


 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,0,94,0,7,
Greece,Hellenic Evaluation System-2 (HESY-2),0,943,0,75,
Italy,MacrOper (based on STAR Intercalibration Common Metric Index ICMi),0,97,0,72,
Portugal,Rivers Biological Quality Assessment Method-Benthic Invertebrates (IPtIN, IPtIS),0,87 (type 1),0,678 (type 1),
0,85 (type 3),0,686 (type 3),
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev,0,8,0,6,
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)),0,8,0,6,
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,0,94,0,7,
Greece,Hellenic Evaluation System-2 (HESY-2),0,944,0,708,
Italy,MacrOper (based on STAR Intercalibration Common Metric Index ICMi),0,94,0,7,
Portugal,Rivers Biological Quality Assessment Method-Benthic Invertebrates (IPtIN, IPtIS),0,83 (type 2),0,693 (type 2),
0,88 (type 4),0,676 (type 4),
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev,0,8,0,6,
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,0,94,0,7,
Greece,Hellenic Evaluation System-2 (HESY-2),0,85,0,637,
Italy,MacrOper (based on STAR Intercalibration Common Metric Index ICMi),0,94,0,7,
Spain,Iberian Biological Monitoring Working Party (IBMWP),0,84,0,7,
Spain,Iberian Mediterranean Multimetric Index—using quantitative data (IMMi-T),0,85,0,694,
 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),0,97,0,73,
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,0,8,0,6,
Spain,Iberian Biological Monitoring Working Party (IBMWP),0,83,0,63,
Spain,Iberian Mediterranean Multimetric Index—using quantitative data (IMMi-T),0,83,0,62,


 R-M1, M2, M4 ,,,,
Bulgaria (R-M1 and R-M2),RI (BG) (Reference Index (BG)),0,64,0,35,
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),0,93,0,745,
Greece,IBMR — Biological Macrophyte Index for Rivers,0,75,0,56,
Italy,IBMR — Biological Macrophyte Index for Rivers,0,9,0,8,
Portugal,IBMR — Biological Macrophyte Index for Rivers,0,92,0,69,
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, makrofiti,0,8,0,6,
Spain,IBMR — Biological Macrophyte Index for Rivers,0,95,0,74,


 R-M1 ,,,,
Bulgaria,IPS (Indice de polluo-sensibilité),0,82,0,63,
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,
Greece,IPS (Coste in Cemagref, 1982) Intercalibrated (EQR IPS),0,956,0,717,
Italy,Intercalibration Common Metric Index (ICMi) (Mancini & Sollazzo, 2009),0,8,0,61,
Portugal,IPS (Coste in Cemagref, 1982),0,97 (type 1),0,73 (type 1),
0,91 (type 3),0,68 (type 3),
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos,0,8,0,6,
Spain,IPS (Coste in Cemagref, 1982),0,937,0,727,
 R-M2 ,,,,
Bulgaria,IPDS (Indice de polluo-sensibilité),0,82,0,63,
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,
Greece,IPS (Coste in Cemagref, 1982) Intercalibrated (EQR IPS),0,953,0,732,
Italy,  Intercalibration Common Metric Index (ICMi)    (Mancini & Sollazzo, 2009)  ,0,8,0,61,
Portugal,IPS (Coste in Cemagref, 1982)),0,91 (type 2),0,68 (type 2),
0,97 (type 4),0,73 (type 4),
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos,0,8,0,6,
Spain,IPS (Coste in Cemagref, 1982),0,938,0,727,
 R-M4 ,,,,
Cyprus,IPS (Coste in Cemagref, 1982),0,91,0,683,
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,0,94,0,78,
Greece,IPS (Coste in Cemagref, 1982) Intercalibrated (EQR IPS),0,932,0,716,
Italy,  Intercalibration Common Metric Index (ICMi)    (Mancini & Sollazzo, 2009)  ,0,8,0,61,
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)  ,0,88,0,65,
Portugal,IPS (Coste in Cemagref, 1982),0,8 (Type 5),0,651 (Type 5),
0,94 (Type 6),0,7 (Type 6),
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos,0,8,0,6,
Spain,IPS (Coste in Cemagref, 1982),0,935,0,7,

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,


Finland,Revised Finnish river invertebrate fauna assessment method,0,8,0,6,
Ireland,Quality Rating System (Q-value),0,85,0,75,
Norway,ASPT,0,99,0,87,
Sweden,DJ-index (Dahl & Johnson 2004),0,8,0,6,
United Kingdom,River Invertebrate Classification Tool (RICT)- WHPT,0,97,0,86,


Norway,AcidIndex2 (Modified Raddum index2) (river acidification),0,675,0,515,
United Kingdom — Scotland,WFD-AWIC,0,91,0,83,
United Kingdom — England and Wales,WFD-AWIC,0,98,0,89,


Sweden,MISA: Multimetric Invertebrate Stream Acidification index,0,55,0,4,
United Kingdom,WFD-AWIC,0,93,0,83,


 R-N3 and R-N9 ,,,,
Finland,Trophic index TIc,0,889,0,61,
Sweden,Trophic index TIc,0,889,0,61,
Norway,Trophic index TIc,0,889,0,61,


Finland,Finnish river phytobenthos method,0,8,0,6,
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 2,1,0,0,75,
Norway,Periphyton Index of Trophic Status (PIT),  0,99    (Ca ≤ 1 mg/l)  ,0,83,
  0,95    (Ca > 1 mg/l)  ,


Belgium Flanders,Upstream and Lowland IBI,0,85,0,65,
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,0,88,0,66,
Lithuania,Lithuanian River Fish Index,0,94,0,72,
Luxembourg,Classification française DCE Indice Poissons Rivière (IPR). AFNOR NF-T-90-344,1,131,0,835,
Netherlands,NLFISR,0,8,0,6,
Poland,EFI+PL index,0,8,0,6,


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 M2,0,734,0,55,
Finland,Finnish Fish Index (FiFi) — type M3,0,723,0,542,
Ireland,Fish Classification Scheme 2 Ireland (FCS2),0,845,0,54,
Sweden,Swedish method VIX,0,739,0,467,
United Kingdom — Northern Ireland,IR_FCS2,0,845,0,54,
United Kingdom — Scotland,FCS2 Scotland,0,85,0,6,


Greece,Hellenic Fish Index (HeFI),0,8,0,6,
Portugal,F-IBIP — Fish-based Index of Biotic Integrity for Portuguese Wadeable Streams,0,85,0,675,
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 T5,0,866,0,65,
Spain,IBIMED — type T6,0,916,0,764,


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),0,8,0,52,
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi rib,0,8,0,6,


Bulgaria,TsBRI (Type Specific Bulgarian Fish Index),0,86,0,65,
Czech Republic,Czech multimetric method CZI,0,78,0,585,
Romania,EFI+ European Fish index (cyprinid wading type),0,939,0,7,
Romania,EFI+ European Fish index (salmonid type),0,911,0,755,
Slovakia,Fish Index of Slovakia FIS,0,71,0,57,

R-L1,Very large low alkalinity rivers,> 10 000,< 0,5,
R-L2,Very large medium to high alkalinity rivers,> 10 000,> 0,5,


Austria,Assessment of the Biological Quality Elements — part benthic invertebrates (for large alpine rivers),0,8,0,6,
Austria,Slovak assessment of benthic invertebrates in large rivers (for large lowland rivers),0,8,0,6,
Belgium (Flanders),Multimetric Macroinvertebrate Index Flanders (MMIF),0,9,0,7,
Bulgaria,mRBA — Modified Rapid Biological Assessment,0,8,0,6,
Croatia,Ecological status assessment system based on benthic invertebrates in very large rivers,0,8,0,6,
Czech Republic,Czech system for ecological status assessment of large non-wadeable rivers using benthic macroinvertebrates,0,8,0,6,
Germany,Germany PTI — Potamon-Typie-Index,0,8,0,6,
Estonia,Estonian surface water ecological quality assessment _ large river macroinvertebrates,0,9,0,7,
Spain,IBMWP — Iberian Biological Monitoring Working Party,0,79,0,48,
Finland,Revised Finnish river invertebrate fauna assessment method,0,8,0,6,
Hungary,Hungary HMMI_II — Hungarian Multimetric Macroinvertebrate Index for large and very large rivers,0,8,0,6,
Italy,ISA (Indice per la classificazione sulla base dei Substrati Artificiali) — mediterranean rivers,0,94,0,7,
Italy,ISA (Indice per la classificazione sulla base dei Substrati Artificiali) — non-mediterranean rivers,0,96,0,72,
Lithuania,Lithuanian River Macroinvertebrate Index,0,8,0,6,
Latvia,LRMI — Latvian large River Macroinvertebrate Index,0,88,0,63,
Netherlands,WFD metrics for natural water types,0,8,0,6,
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,0,8,0,6,
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi bentoških nevretenčarjev,0,8,0,6,
Slovakia,Slovak assessment of benthic invertebrates in large rivers,0,8,0,6,


Austria,German PhytoFluss-Index 4.0,0,8,0,6,
Belgium (Flanders),German PhytoFluss-Index 2.0,0,8,0,6,
Bulgaria,German PhytoFluss-Index 4.0,0,8,0,6,
Croatia,HRPI — Hungarian River Phytoplankton Index,0,8,0,6,
Czech Republic,CZ — Assessment method for ecological status of rivers based on phytoplankton,0,8,0,6,
Germany,German PhytoFluss-Index,0,8,0,6,
Estonia,EST_PHYPLA_R — Estonian Large River Phytoplankton Index,0,85,0,65,
Hungary,HRPI — Hungarian River Phytoplankton Index,0,8,0,6,
Lithuania,German PhytoFluss-Index for lowland rivers of type 15.2,0,8,0,6,
Latvia,Latvian Large River Phytoplankton Index,0,8,0,6,
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,0,8,0,6,


 R-L1 ,,,,
Finland,Finnish river phytobenthos method,0,8,0,6,
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,0,8,0,6,
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,0,762,0,6,
Italy,Intercalibration Common Metric Index (ICMi) (Mancini &Sollazzo 2009),0,89 (national type C),0,7 (national type C),
0,82 (national type M3),0,62 (national type M3),
Netherlands,WFD-metrics for natural water types,0,8,0,6,
Portugal,IPS — Specific Pollution Sensitivity Index,0,9 (national type R_GRS/Guadiana river),0,67 (national type R_GRS/Guadiana river),
Slovakia,Ecological status assessment system for rivers using phytobenthos,0,9,0,7,
Slovenia,Metodologija vrednotenja ekološkega stanja vodotokov na podlagi fitobentosa in makrofitov, fitobentos,0,8,0,6,

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,


Austria,Evaluation of the biological quality elements, Part B2 — phytoplankton,0,8,0,6,
France,Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre,0,8,0,6,
Germany,PSI (Phyto-Seen-Index) — Bewertungsverfahren für Seen mittels Phytoplankton zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland,0,8,0,6,
Italy,Italian Phytoplankton Assessment Method (IPAM),0,8,0,6,
Slovenia,Metodologija vrednotenja ekološkega stanja jezer na podlagi fitoplanktona,0,8,0,6,


Austria,AIM for Lakes (Austrian Index Macrophytes for lakes),  L-AL3+    L-AL4  ,0,8,0,6,
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  ,0,8,0,6,
Slovenia,Metodologija vrednotenja ekološkega stanja jezer na podlagi fitobentosa in makrofitov, makrofiti,L-AL3,0,8,0,6,


Slovenia,Metodologija vrednotenja ekološkega stanja jezer na podlagi bentoških nevretenčarjev,0,8,0,6,
Germany,AESHNA — Bewertungsverfahren für das eulitorale Makrozoobenthos in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland,0,8,0,6,


Austria,ALFI (Austrian lake fish index): A multimetric index to assess the ecological status of alpine lakes based on fish fauna,0,8,0,6,
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,

L-CB1,Lowland, shallow, calcareous,< 200,3 — 15,> 1,1 — 10,
L-CB2,Lowland, very shallow, calcareous,< 200,< 3,> 1,0,1 — 1,


Belgium (Flanders),Flemish phytoplankton assessment method for lakes,0,8,0,6,
Denmark,Danish Lake Phytoplankton Index,0,8,0,6,
Estonia,Estonian surface water ecological quality assessment — lake phytoplankton,0,8,0,6,
Germany,PSI (Phyto-Seen-Index) — Bewertungsverfahren für Seen mittels Phytoplankton zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland — German Phyto-Lake-Index (Phyto-See-Index),0,8,0,6,
Ireland,IE Lake Phytoplankton Index,0,8,0,6,
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,0,8,0,6,
Poland,Phytoplankton method for Polish Lakes (PMPL),0,8,0,6,
UK,Phytoplankton Lake Assessment Tool with Uncertainty Module (PLUTO),0,8,0,6,
    Will be used in England, Wales and Scotland    ,


Belgium (Flanders),Flemish macrophyte assessment system,All types,0,8,0,6,
Denmark,Danish Lake Macrophytes Index,All types,0,8,0,6,
Estonia,Estonian surface water ecological quality assessment — lake macrophytes,LCB1,0,78,0,52,
LCB2,0,76,0,5,
Germany,Verfahrensanleitung für die ökologische Bewertung von Seen zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Makrophyten,All types,0,8,0,6,
Latvia,Latvian macrophyte assessment method,All types,0,8,0,6,
Lithuania,Lithuanian Lake Macrophyte Index,All types,0,75,0,5,
Netherlands,WFD-metrics for natural water types,All types,0,8,0,6,
Poland,Macrophyte based indication method for lakes — Ecological Status Macrophyte Index ESMI (multimetric),All types,0,68,0,41,
UK,Lake LEAFPACS 2 ,All types,0,8,0,66,


Belgium (Flanders),Multimetric Macroinvertebrate Index Flanders (MMIF),0,9,0,7,
Estonia,Estonian surface water ecological quality assessment — lake macroinvertebrates,0,86,0,7,
Germany,AESHNA — Bewertungsverfahren für das eulitorale Makrozoobenthos in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland,0,8,0,6,
Latvia,Latvian Lake Macroinvertebrate Multimetric Index (LLMMI),0,85,0,52,
Lithuania,Lithuanian Lake Macroinvertebrate Index,0,74,0,5,
Netherlands,WFDi — Metric for Natural Watertypes,0,8,0,6,
UK,Chironomid Pupal Exuvial Technique (CPET),0,77,0,64,

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,


Czech Republic,CZ-FBI,0,87,0,619,
Denmark,Danish Lake Fish Index,0,75,0,54,
EE,LAFIEE,0,8,0,61,
Germany,DeLFI_SITE — Deutsches probennahmestandort-spezifisches Bewertungsverfahren für Fische in Seen zur Umsetzung der EG-Wasserrahmenrichtlinie,0,95,0,8,
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,0,8,0,6,
Poland,LFI+,0,866,0,595,
Poland,LFI EN,0,804,0,557,

L-EC1,Lowland very shallow hard-water,< 200,< 6,1 — 4,300 — 1 000,


Bulgaria,HLPI-Hungarian lake phytoplankton index,0,8,0,6,
Hungary,HLPI-Hungarian lake phytoplankton index,0,8,0,6,
Romania,HLPI-Hungarian lake phytoplankton index,0,8,0,6,


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,


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,0,93,0,6,

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,
    High-Good boundary is not defined for reservoirs (both LM5/7 and LM8 types are reservoirs)    ,


 LM 5/7 ,
France,Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre,n.d. ,0,6,
Greece,New Mediterranean Assessment System for Reservoirs (NMASRP),n.d. ,0,6,
Italy,New Italian Method (NITMET),n.d. ,0,6,
Portugal,Reservoirs Biological Quality Assessment Method — Phytoplankton (New Mediterranean Assessment System for Reservoirs Phytoplankton: NMASRP).,n.d. ,0,6,
Spain,Mediterranean Assessment System for Reservoirs Phytoplankton (MASRP).,n.d. ,0,58,
 L-M8 ,
Cyprus,New Mediterranean Assessment System for Reservoirs Phytoplankton (NMASRP).,n.d. ,0,6,
France,Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre,n.d. ,0,6,
Greece,New Mediterranean Assessment System for Reservoirs (NMASRP),n.d. ,0,6,
Italy,New Italian Method (NITMET),n.d. ,0,6,
Spain,Mediterranean Assessment System for Reservoirs Phytoplankton (MASRP).,n.d. ,0,6,

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,


Finland,Finnish phytoplankton assessment method for lakes,0,8,0,6,
Ireland,IE Lake Phytoplankton Index,0,8,0,6,
Norway,Lake phytoplankton ecological status classification method,0,8,0,6,
Sweden,Ecological assessment methods for lakes. quality factor phytoplankton,0,8,0,6,
UK,Phytoplankton Lake Assessment Tool with Uncertainty Module (PLUTO),0,8,0,6,

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,
    Will be used in England, Wales and Scotland    ,
    Will be used also in the UK (North Ireland)    ,


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: 0,8    Type 102: 0,83    Type 201: 0,78    Type 202: 0,78  ,
UK,Lake LEAFPACS 2 ,0,8 (all types),0,66 (all types),
UK,Free Macrophyte Index ,0,9 (all types),0,68 (all types),

Lake littoral acidification,,,,,
L-N-BF1,Lowland/mid-altitude, low alkalinity, clear,n.d.,< 800,0,05 — 0,2,< 30,
Lake profundal eutrophication,,,,,
L-N-BF2,Ecoregion 22, low alkalinity, clear and humic,22,Area > 1 km 2 , max depth > 6 m,< 0,2,n.d.,


,Lake littoral acidification,,,
Norway,MultiClear: Multimetric Invertebrate Index for Clear Lakes,0,95,0,74,
Sweden,MILA: Multimetric Invertebrate Lake Acidification index,0,85,0,6,
UK,LAMM (Lake Acidification Macroinvertebrate Metric),0,86,0,7,
,Lake profundal eutrophication,,,
Finland,Revised Finnish lake invertebrate fauna assessment method (PICM),0,8,0,6,
Sweden,BQI (Benthic Quality Index),0,84,0,67,

L-N-F1,Dimictic clear water lakes,< 40,< 0,2,< 30,
L-N-F2,Dimictic humic lakes,< 5,< 0,2,30 — 90,


Eutrophication,
Finland,EQR4,0,8,0,6,
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,

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,


 HA type ,
Belgium (Flanders),Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD),0,8,0,6,
Germany,Verfahrensanleitung für die ökologische Bewertung von Seen zur Umsetzung der EG-Wasserrahmenrichtlinie: Makrophyten und Phytobenthos (PHYLIB), Modul Phytobenthos,0,8,0,55,
Hungary,MIL — Multimetric Index for Lakes,0,8,0,69,
Ireland,Lake Trophic Diatom Index (IE),0,9,0,63,
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,0,8,0,6,
UK,DARLEQ 2,0,92,0,7,
 MA type ,
Belgium (Flanders),Proportions of Impact-Sensitive and Impact-Associated Diatoms (PISIAD),0,8,0,6,
Finland,Finnish lake phytobenthos method,0,8,0,6,
Ireland,Lake Trophic Diatom Index (IE),0,9,0,63,
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,0,8,0,6,
Sweden,IPS,0,89,0,74,
UK,DARLEQ 2,0,93,0,66,
 LA type ,
Ireland,Lake Trophic Diatom Index (IE),0,9,0,66,
UK,DARLEQ 2,0,92,0,7,

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),


 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,


 BC1 ,
Finland (Quark outer),0,76,0,59,1,7,2,2,
Finland (Bothnian Sea outer),0,78,0,6,1,6,2,1,
Sweden (Quark outer),0,75,0,58,1,6,2,1,
Sweden (Bothnian Sea outer),0,8,0,6,1,5,2,0,
 BC4 ,
Estonia,0,83,0,67,2,4,3,0,
Latvia,0,82,0,67,2,2,2,7,
 BC5 ,
Latvia,0,65,0,39,1,85,3,1,
Lithuania,0,88,0,6,2,5,4,9,
 BC6 ,
Denmark,0,78,0,62,1,36,1,72,
Sweden,0,79,0,64,1,44,1,78,
 BC9 ,
Estonia,0,82,0,67,2,2,2,7,
Finland,0,79,0,65,1,9,2,3,
Sweden,0,8,0,67,1,5,1,8,


 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),0,91,0,7,
Latvia,PEQI — Phytobenthos Ecological Quality Index,0,9,0,75,
 BC5 ,
Latvia,MDFLD — Maximum depth of the red alga Furcellaria lumbricalis distribution (macroalgae),0,9,0,75,
Lithuania,MDFLD — Lithuanian maximum depth of the red alga Furcellaria lumbricalis distribution (macroalgae),0,84,0,68,


 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,—,0,6,
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,0,8,0,6,

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  o C) and high irradiance (mainly, PAR > 29 Mol/m 2 day),  > 30    Mesotidal 1 — 5    < 30  ,  Medium 1 — 3    Exposed or sheltered  ,Fully mixed Days,
NEA 1/26 B21,Open oceanic or enclosed seas, exposed or sheltered, euhaline, shallow Cool waters (mainly, < 13  o C) and medium irradiance (mainly, PAR < 29 Mol/m 2 day),> 30 Mainly mesotidal 1 — 5 < 30,Medium 1 — 3 Exposed or sheltered,Fully mixed Days,
Subtypes for phytoplankton,
NEA 1/26a,Open oceanic, exposed or sheltered, euhaline, shallow,> 30 Mesotidal 1 — 5 < 30,Medium 1 -3 Exposed or sheltered,Fully mixed Days,
NEA 1/26b,Enclosed seas, exposed or sheltered, euhaline, shallow,> 30 Mesotidal 1 — 5 < 30,Medium 1 — 3 Exposed or sheltered,Fully mixed Days,
NEA 1/26c,Enclosed seas, enclosed or sheltered, partly stratified,> 30 Microtidal/Mesotidal < 1 — 5 < 30,Medium 1 — 3 Exposed or sheltered,Partly stratified Days to weeks,
NEA 1/26d,Scandinavian coast, exposed or sheltered, shallow,> 30 Microtidal < 1 < 30,Low < 1 Exposed or moderately exposed,Partly stratified Days to weeks,
NEA 1/26e,Areas of upwelling, exposed or sheltered, euhaline, shallow,> 30 Mesotidal < 1 < 30,Medium 1 — 3 Exposed or sheltered,Fully mixed Days,
Types for phytoplankton, macroalgae, seagrasses, saltmarshes, benthic invertebrate fauna,
NEA 5,Helgoland (German Bight), rocky, exposed and partly stratified,  > 30    Mesotidal    < 30  ,Medium 1 — 3 Exposed,Partly stratified Days,
NEA 3/4,Polyhaline, Exposed or moderately exposed (Wadden Sea type),Polyhaline 18 — 30 Mesotidal 1 — 5 < 30,Medium 1 — 3 Exposed or moderately exposed,Fully mixed Days,
NEA 7,Deep fjordic and sea loch systems,> 30 Mesotidal 1 -5 > 30,Low < 1 Sheltered,Fully mixed Days,
NEA 8a,Skagerrak Inner Arc Type, polyhaline, microtidal, moderately exposed, shallow,Polyhaline 25 — 30 Microtidal < 1 > 30,Low < 1 Moderately exposed,Fully mixed Days to weeks,
NEA 8b,Skagerrak Inner Arc Type, polyhaline, microtidal, moderately sheltered, shallow,Polyhaline 10 — 30 Microtidal < 1 < 30,Low < 1 Sheltered to moderately exposed,Partly stratified Days to weeks,
NEA 9,Fjord with a shallow sill at the mouth with a very deep maximum depth in the central basin with poor deepwater exchange,Polyhaline 25 — 30 Microtidal < 1 > 30,Low < 1 Sheltered,Partly stratified Weeks,
NEA 10,Skagerrak Outer Arc Type, polyhaline, microtidal, exposed, deep,Polyhaline 25 — 30 Microtidal < 1 > 30,Low < 1 Exposed,Partly stratified Days,


 NEA 1/26a ,
France,0,76,0,33,4,4,10,0,
Ireland,0,82,0,6,9,9,15,0,
Norway,0,67,0,33,2,5,5,0,
Spain (Eastern Cantabrian coast),0,67,0,33,1,5,3,0,
Spain (Western-Central Cantabrian Coast),0,67,0,33,3,0,6,0,
Spain (Gulf of Cadiz coast),0,67,0,33,5,0,10,0,
United Kingdom,0,8,0,6,5,0,10,0,
 NEA 1/26b ,
Belgium,0,8,0,67,12,5,15,0,
France,0,67,0,44,10,0,15,0,
Netherlands,0,67,0,44,10,0,15,0,
United Kingdom (south),0,82,0,63,9,8,14,3,
United Kingdom (north),0,8,0,6,10,0,15,0,
 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),0,67,0,44,8,0,12,0,
Portugal (upwelling-A6,A7),0,88,0,49,4,5,8,2,
Spain (Western Iberian upwelling coast),0,67,0,44,6,0,9,0,
Spain (Western Iberian upwelling coast — rías),0,67,0,44,8,0,12,0,
 NEA 3/4 ,
Germany (Eems Dollard),0,8,0,6,7,0,11,0,
Germany (Wadden Sea),0,8,0,6,7,0,11,0,
Netherlands (Eems Dollard),0,8,0,6,6,75,10,13,
Netherlands (Wadden Sea),0,8,0,6,9,6,14,4,
Netherlands (North Sea),0,8,0,6,11,25,16,88,
 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,0,8,0,6,1,18,1,56,
 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,0,76,0,43,3,92,6,9,
Sweden,0,73,0,38,1,89,3,6,
 NEA 10 ,
Norway,0,73,0,49,3,53,5,26,
Sweden,0,71,0,46,1,39,2,14,


 Type NEA1/26 A2 intertidal macroalgae ,
France,CCO — Cover, Characteristic species, Opportunistic species on intertidal rocky bottoms,0,8,0,6,
Portugal,PMarMAT — Marine Macroalgae Assessment Tool,0,8,0,61,
Spain,CFR — Quality of Rocky Bottoms,0,81,0,6,
Spain,RICQI — Rocky Intertidal Community Quality Index,0,82,0,6,
Spain,RSL — Reduced Species List,0,75,0,48,
 Type NEA1/26 B21 intertidal macroalgae ,
Ireland,RSL — Rocky Shore Reduced Species List,0,8,0,6,
Norway,RSLA — Rocky Shore Reduced Species List with Abundance,0,8,0,6,
United Kingdom,RSL — Rocky Shore Reduced Species List,0,8,0,6,
 Type NEA 7 intertidal macroalgae ,,
Norway,RSLA — Rocky Shore Reduced Species List with Abundance,0,8,0,6,
United Kingdom,RSL — Rocky Shore Reduced Species List,0,8,0,6,
 Type NEA8a/9/10 subtidal macroalgae ,
Norway,MSMDI — Multi Species Maximum Depth Index,0,8,0,6,
Sweden,MSMDI — Multi Species Maximum Depth Index,0,8,0,6,


 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,0,8,0,6,
United Kingdom,OMBT — Opportunistic macroalgal blooming tool,0,8,0,6,


 Type NEA 1/26 ,
Germany,SG — Assessment tool for intertidal seagrass in coastal and transitional waters,0,8,0,6,
France,SBQ — Seagrass beds quality in coastal and transitional water bodies,0,8,0,645,
Ireland,Intertidal Seagrass tool,0,8,0,61,
Netherlands,SG — Monitoring beds of SG per waterbody using aerial photographs, ground truth and specifying surface & density per species,0,8,0,6,
Portugal,SQI — Seagrass quality index,0,8,0,6,
United Kingdom,Intertidal Seagrass tool,0,8,0,61,
 Type NEA 3/4 ,
Germany,SG — Bewertungssystem für Makroalgen und Seegräser der Küsten- und Übergangsgewässer zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland,0,8,0,6,
Netherlands,Monitoring beds of SG per waterbody using aerial photographs, ground truth and specifying surface and density per species,0,8,0,6,


 Type NEA 1/26 ,
Belgium,BEQI — Benthic Ecosystem Quality Index,0,8,0,6,
Denmark,Danish Quality Index (DKI),0,8,0,6,
Germany,M-AMBI — Multivariate AZTI’s Marine Biotic Index,0,85,0,7,
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 2,0,8,0,6,
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,0,85,0,7,
Netherlands,BEQI2 — Benthic Ecosystem Quality Index 2,0,8,0,6,
 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,

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,


 Type II A ,
France,0,67,0,37,1,92,3,5,
Spain,0,67,0,37,1,92,3,5,
 Type II A Adriatic ,
Croatia,0,82,0,61,1,7,4,0,
Italy,0,82,0,61,1,7,4,0,
Slovenia,0,82,0,61,1,7,4,0,
 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,


Cyprus,EEI-c — Ecological Evaluation Index,0,76,0,48,
France,CARLIT — Cartography of Littoral and upper-sublittoral rocky-shore communities,0,75,0,6,
Greece,EEI-c — Ecological Evaluation Index,0,76,0,48,
Croatia,CARLIT — Cartography of Littoral and upper-sublittoral rocky-shore communities,0,75,0,6,
Italy,CARLIT — Cartography of Littoral and upper-sublittoral rocky-shore communities,0,75,0,6,
Malta,CARLIT — Cartography of Littoral and upper-sublittoral rocky-shore communities,0,75,0,6,
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,0,75,0,6,


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,


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,

CW-BL1,Mesohaline, microtidal (< 1 m), shallow (< 30 m), moderately exposed to very exposed, mixed substratum (fine sand for zoobenthos),


Bulgaria,IBI,0,8,0,63,
Romania,IBI,0,8,0,63,


Bulgaria,EI-Ecological index,0,837,0,644,
Romania,EI-Ecological index,0,837,0,644,


Bulgaria,M-AMBI(n) — Multivariate AZTI’s Marine Biotic Index Normalized,0,9,0,68,
Romania,M-AMBI(n) — Multivariate AZTI’s Marine Biotic Index Normalized,0,9,0,68,

BT1,0 — 8 Oligohaline,0 — 8,Very sheltered,—,Polish Vistula lagoon and Lithuanian Curonian lagoon,


Lithuania,0,83,0,57,31,7,46,6,
Poland,0,77,0,61,33,46,42,2,

NEA 11,Transitional Waters,0 — 35 Micro to macrotidal < 30,Variable Sheltered or moderately exposed,Partly permanently stratified Days to weeks,

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,
    Salinity ranges stablished by the median (P50) salinity as follows: Euhaline [30,1-34,4] PSU; Polyhaline [18,1-30,0] PSU; Mesohaline [5,1-18,0] PSU; Oligohaline [0,5-5,0] PSU    ,


France,0,67,0,397,5,33,8,88,
Ireland,0,8,0,6,12,96,25,96,
Netherlands,0,8,0,6,12,0,18,0,
Portugal-North,0,667,0,467,10,0,14,288,
Spain — Central Cantabrian and Galician estuaries — Mixing zone ,0,67,0,44,8,0,12,0,
Spain — Central Cantabrian and Galician estuaries — Euhaline ,0,67,0,33,4,0,8,0,
Spain — East Cantabrian estuaries — Euhaline ,0,67,0,33,1,95,3,9,
Spain — East Cantabrian estuaries — Polyhaline ,0,67,0,33,3,3,6,6,
Spain — East Cantabrian estuaries — Mesohaline ,0,67,0,33,5,1,10,2,
Spain — East Cantabrian estuaries — Oligohaline ,0,67,0,33,6,6,13,2,
Spain — Gulf of Cádiz estuaries — Mixing zone ,0,67,0,33,3,75,7,5,
Spain — Gulf of Cádiz estuaries — Euhaline ,0,67,0,33,3,0,6,0,
United Kingdom,0,8,0,6,10,0,15,0,


France,TWOGA — Macroalgal Bloom Assessment,0,8,0,6,
Ireland,OGA Tool — Opportunistic Green Macroalgal Abundance,0,8,0,6,
United Kingdom,OMBT- Opportunistic macroalgal blooming tool,0,8,0,6,


Germany,SG-Assessment tool for intertidal seagrass in coastal and transitional waters,0,8,0,6,
France,SBQ-Seagrass beds quality in coastal and transitional water bodies,0,8,0,645,
Ireland,Intertidal Seagrass tool,0,8,0,61,
Netherlands,SG- Monitoring beds of SG per waterbody using aerial photographs, ground truth and specifying surface & density per species,0,8,0,6,
Portugal,SQI-Seagrass quality index,0,8,0,6,
United Kingdom,Intertidal Seagrass tool,0,8,0,61,


Spain — Cantabria,AQI — Angiosperm Quality Index,0,88,0,73,
Portugal,AQuA — Angiosperm Quality Assessment Index,0,8,0,6,
United Kingdom,SM — UK Saltmarsh Tool,0,8,0,6,


 Sub type D ,
Germany,M-AMBI — Multivariate AZTI’s Marine Biotic Index,0,85,0,7,
Netherlands,BEQI2 — Benthic Ecosystem Quality Index 2,0,8,0,6,
Spain,M-AMBI — Multivariate AZTI’s Marine Biotic Index,0,77,0,53,
Portugal,BAT — Benthic Assessment Tool,0,838,0,582,
 Sub type E ,
Spain,M-AMBI — Multivariate AZTI’s Marine Biotic Index,0,77,0,53,
Spain,QSB — Quality of Soft Bottoms,0,8,0,6,
 Sub type F ,
Spain,M-AMBI — Multivariate AZTI’s Marine Biotic Index,0,77,0,53,
Portugal,BAT- Benthic Assessment Tool,0,806,0,58,


Belgium,EBI — Zeeschelde Estuarine Biotic Index,0,85,0,615,
France,ELFI — Estuarine and Lagoon Fish Index,0,91,0,675,
Germany,FAT — TW — Fischbasiertes Bewertungswerkzeug für Übergangsgewässer der norddeutschen Ästuare,0,84,0,62,
Ireland,TFCI — Transitional Fish Classification Index,0,81,0,58,
Ireland,EMFI — Estuarine Multi-metric Fish Index,0,92,0,65,
Netherlands,FAT — TW — WFD Fish index for transitional waters, type O2,0,8,0,6,
Portugal,EFAI — Estuarine Fish Assessment Index,0,865,0,7,
Spain,AFI — AZTI’s Fish Index,0,78,0,55,
Spain,TFCI — Transitional Fish Classification Index,0,9,0,65,
United Kingdom,TFCI — Transitional Fish Classification Index,0,81,0,58,
United Kingdom,EMFI — Estuarine Multi-metric Fish Index,0,92,0,65,
    Spain and France do not consider distinction between restricted or chocked lagoons.    ,

CL-Oligohaline,Coastal lagoons (Salinity < 5 psu),Spain, France, Italy,
CL-Mesohaline chocked and restricted,Coastal lagoons (Salinity 5 — 18 psu),Spain , France , Italy, Greece,
CL-Polyhaline chocked and restricted,Coastal lagoons (Salinity 18 — 40 psu),Spain , France , Italy, Greece,
Hyperhalines (Salinity > 40 psu).,Hyperhalines (Salinity > 40 psu),Spain,
Estuaries,Estuaries (salt wedge type),Spain, Croatia,


 Coastal lagoons Polyhaline chocked ,
France,PhIL — Phytoplankton index for Mediterranean polyhaline lagoons,0,71,0,39,
Greece,MPI — Multimetric Phytoplankton Index,0,78,0,51,
Italy,MPI — Multimetric Phytoplankton Index,0,78,0,51,
 Coastal lagoons Polyhaline restricted ,
France,PhIL — Phytoplankton index for Mediterranean polyhaline lagoons,0,71,0,39,
Greece,MPI — Multimetric Phytoplankton Index,0,82,0,54,
Italy,MPI — Multimetric Phytoplankton Index,0,82,0,54,


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,


 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,


Italy,NISECI index (New Index of Ecological Status of Fish Communities),0,8,0,6,
Bulgaria,TsBRI (Type Specific Bulgarian Fish Index),0,86,0,65,


Belgium (Flanders),PISIAD index (Proportions of Impact-Sensitive and Impact-Associated Diatoms),0,8,0,6,


Italy,BQIES (Benthic Quality Index Expected Species number),0,88,0,76,


France,ELFI (European Lake Fish Index): Indice Ichtyofaune Lacustre (IIL),0,73,0,49,


France,Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre,0,8,0,6,


France,French Macrophyte Index for Lakes (IBML): Indice Biologique Macrophytique en Lacs,0,8,0,6,


Belgium (Flanders),Fish-based index for lakes and reservoirs in Flanders (Belgium),0,8,0,6,


France,Phytoplankton Index for Lakes (IPLAC): Indice Phytoplancton Lacustre,0,8,0,6,
Greece,HeLPhy — Hellenic Lake Phytoplankton Assessment Method,0,8,0,6,
Italy,Italian phytoplankton assessment method (IPAM),0,8,0,6,


France,French Macrophyte Index for Lakes (IBML): Indice Biologique Macrophytique en Lacs,0,8,0,6,
Greece,HeLM — Hellenic Lake Macrophytes Assessment Method,0,8,0,6,
Italy,VLMMI — Volcanic Lakes Multimetric Macrophyte Index,0,7,0,5,


Greece,GLBiI — Greek Lake Benthic invertebrate Index,0,8,0,6,
Italy,BQIES (Benthic Quality Index Expected Species number),0,88,0,76,


France,ELFI (European Lake Fish Index): Indice Ichtyofaune Lacustre (IIL),0,73,0,49,
Greece,GLFI — Greek Lake Fish Index,0,8,0,6,
Italy,Lake Fish Index (LFI),0,82,0,64,


Bulgaria,Bulgarian fish based method for ecological classification and monitoring of lakes,0,76,0,52,


 BC2 (including German national types B1, B2a, B2b) ,
Germany (B1),0,91,0,67,9,3,12,7,
Germany (B2a),0,89,0,67,1,8,2,4,
Germany (B2b),0,93,0,67,1,4,1,95,


 BC2 ,
Germany,PHYBIBCO — PHYtoBenthic Index for Baltic inner coastal waters,0,8,0,6,
 BC1 ,
Finland,Fucus depth limit(macroalgae),0,9,0,74,
Sweden,MSMDI (macroalgae and angiosperms),0,6,0,4,
 BC6 ,
Denmark,Depth limit of eelgrass, Zostera marina (angiosperm),0,9,0,74,
Sweden,MSMDI(macroalgae and angiosperms),0,6,0,4,
 BC7 ,
Germany,Balcosis — Baltic ALgae COmmunity AnalySIs System(macroalgae and angiosperms),0,8,0,6,
Poland,MQAI — Macrophyte Quality Assessment Index,0,9,0,7,
 BC8 ,
Germany,Balcosis — Baltic ALgae COmmunity AnalySIs System(macroalgae and angiosperms),0,8,0,6,


 BC8 ,
  Denmark    Open coast  ,0,9,0,74,8,5,7,


 BC2 ,,,,
Germany,MarBIT- Marine Biotic Index Tool,0,8,0,6,
 BC4 ,,,,
Estonia,ZKI — Estonian coastal water macrozoobenthos community index,0,39,0,24,
Latvia,BQI — Benthic quality index,0,88,0,75,


 NEA 7 ,
United Kingdom,Phytoplankton tool,0,8,0,6,


 NEA 1/26d ,
Denmark,0,66,0,5,3,0,4,0,
 NEA 5 ,,,,,
Germany,0,67,0,44,5,0,7,5,
 NEA 7 ,,,,,
Norway,0,67,0,33,2,5,5,0,
United Kingdom (inshore/North Sea),0,67,0,33,10,0,15,0,
United Kingdom (Atlantic),0,67,0,33,5,0,10,0,


 Type NEA 5 ,,,,
Germany,HPI — Helgoland Phytobenthic Index,0,8,0,6,


 NEA 3/4 ,
Germany,OMAI — Opportunistic Macroalgae-cover/acreage on soft sediment intertidal in coastal waters,0,8,0,6,


Germany,EM — Assessment of saltmarsh vegetation in coastal and transitional waters,0,8,0,6,
Ireland,SMAATIE — Saltmarsh Angiosperm Assessment Tool for Ireland,0,8,0,6,
Netherlands,TSM — WFD-metrics for natural watertypes: tidal salt marsh,0,8,0,6,
United Kingdom,SM — UK Saltmarsh Tool,0,8,0,6,


 Type NEA 8b ,
Sweden,MSMDI (macroalgae and angiosperms),0,8,0,6,
Denmark,Depth limit of eelgrass Zostera marina (angiosperm),0,9,0,74,


 Type NEA 1/26 ,
Portugal,RAT — Rocky Shore Assessment Tool,0,8,0,6,
Spain,BO2A — Benthic Opportunistic polychaetes/amphipods index,0,83,0,5,
 Type NEA 5* ,
Germany,MarBIT — Marine Biotic Index Tool,0,8,0,6,
    The values are not national boundaries but threshold values    ,


 Type I ,
France,0,67,0,33,4,925,10,0,
Italy,0,85,0,62,5,6,14,1,
 Type II A Tyrrhenian ,,,,,
Italy,0,84,0,62,1,17,2,9,
 Type III W Adriatic ,
Italy,,,,1,7 ,
 Type III W Tyrrhenian ,
Italy,,,,1,17 ,


Greece,CymoSkew,0,75,0,5,


Belgium,1,0,0,6,100,200,


Belgium,TMQI -Tidal Marsh Quality Index,0,85,0,75,
Germany,EM — Assessment of saltmarsh vegetation in coastal and transitional waters,0,8,0,6,
Ireland,SMAATIE — Saltmarsh Angiosperm Assessment Tool for Ireland,0,8,0,6,
Netherlands,TSM — WFD-metrics for natural watertypes: tidal salt marsh,0,8,0,6,


Spain — Cantabria,AQI — Angiosperms Quality Index,0,85,0,7,


Belgium,BEQI — Benthic Ecosystem Quality Index,0,75,0,5,
 Sub type D ,
Germany,AeTV — Aestuar Type Verfahren,0,8,0,6,
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,0,8,0,6,
Germany,M-AMBI -,0,85,0,7,
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,


 Coastal lagoons oligohaline and mesohaline ,
Spain (Balearic Islands),FITOHMIB,0,93,0,73,
 Estuaries ,
Spain (Southern Coast),TWIf — Phytoplankton index for transitional waters,0,5,0,36,
Croatia,MPI — Multimetric Phytoplankton Index,0,8,0,6,


 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,


Italy,HFBI — Habitat Fish Bio-Indicator,0,94,0,55,
Croatia,M-EFI — Modified Estuarine Fish Index,0,8,0,6,


Romania,IBI — Integrated Biological Index,0,7,0,42,


Romania,M-AMBI(n) — Multivariate AZTI’s Marine Biotic Index Normalized,0,9,0,68,