1. The Eurovision Nutrient Boundary Contest

2. ROMANIA

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

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

7. HUNGARY

8. 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

9. 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

10. 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, Zagreb, Croatia
2 Institute of Oceanography and Fisheries, IOF, Šetalište I. Meštrovića 63, Split, Croatia
3 Hrvatske vode, Central Water Management Laboratory, Ulica grada Vukovara 220, Zagreb, Croatia

11. 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
< 200
mixed
sand and silt
HR-R_2A - small lowland rivers with clay and sandy bottom

14. Range of cross-over values
Min. 1st Qu. Median Mean 3rd Qu. Max.

15. Quantile summary
High Good Moderate Poor
95th NA
75th NA
50th NA
25th NA
5th NA
Logistic summary
p50 p25 p75
High
Good

16. Malta

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

19. Poland

20. Linear regression - TP

21. Linear regression - TN

22. Mis-match method - TP

23. Quantile methods - TP

24. Mis-match method - TN

25. Quantile methods - TN

26. Latvia / Lithuania

28. 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

29. Czech Republic

30. 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)

31. PHYTOBENTOS

32. PHYTOBENTOS