The Eurovision Nutrient Boundary Contest

ROMANIA

BQE: Phytobenthos Type: Very Large Rivers Dataset: XGIG + RO (due to short gradient in RO data)

H/G 0.75 G/M 0.41 M/P 0.27

HUNGARY

R2 N slope int GM GML GMU HG HGL HGU EQR(x), Nut(y) 0.12 218 -0.20 1.07 240.00 73.00 507.00 23.00 7.00 48.00 R Major axis -0.39 1.52 233.00 121.00 414.00 71.00 37.00 127.00 EQR(y), Nutrient(x) -1.59 4.36 228.00 160.00 322.00 171.00 120.00 242.00

Hungarian threshold now Mis-match results Average quartiles Average median 75th quartile class High 119 213.89 184.23 203.50 Good 192 274.69 231.83 310.00 Hungarian threshold now Toolkit High/Good ≤ 100 120 Good/Moderate 200 230

Marija Gligora Udovič1, Grozdan Kušpilić2 & Igor Stanković3 CROATIA Marija Gligora Udovič1, Grozdan Kušpilić2 & Igor Stanković3 1 University of Zagreb, Faculty of Science, Department of Biology, Rooseveltov trg 6, 10000 Zagreb, Croatia 2 Institute of Oceanography and Fisheries, IOF, Šetalište I. Meštrovića 63, 21000 Split, Croatia 3 Hrvatske vode, Central Water Management Laboratory, Ulica grada Vukovara 220, 10000 Zagreb, Croatia

HR-R_2A - small lowland rivers with clay and sandy bottom Type Common intercalibration type Ecoregion (Illies, 1967) Catchment area [km2] Altitude [m] Geology Channel substrate R-EX5 Plain: small lowland 11, 12 10 -100 < 200 mixed sand and silt HR-R_2A - small lowland rivers with clay and sandy bottom

Range of cross-over values Min. 1st Qu. Median Mean 3rd Qu. Max. 158.1 185.0 198.5 204.5 218.7 292.7

Quantile summary High Good Moderate Poor 95th NA 697.40 1301.80 862.00 75th NA 234.00 618.00 862.00 50th NA 117.00 318.00 862.00 25th NA 73.00 203.00 862.00 5th NA 117.00 318.00 862.00 Logistic summary p50 p25 p75 High 0.00 0.00 0.00 Good 219.53 99.39 484.87

Malta

Way forward Try to change BQE to Phytoplankton Use more nutrient data from this year’s monitoring programme Combine data with other countries

Poland

Linear regression - TP

Linear regression - TN

Mis-match method - TP

Quantile methods - TP

Mis-match method - TN

Quantile methods - TN

Latvia / Lithuania

Linear, high R2=0.38 R2 GM HG EQR(x), Nut(y) 0.38 90.00 23.00 R Major axis 67.00 24.00 EQR(y), Nutrient(x) 45.00 27.00 Mis-match 55… 30.. Average quartiles 48 33 Average median 42 28 75th quartile 47 31

Czech Republic

PHYTOBENTOS In CZ: the most indicative for running waters No large rivers with autochtonous phytoplankton N was not considered because is in surpluss usually => P is crucial (+ others)

PHYTOBENTOS

PHYTOBENTOS