1. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Pragmatic combination of BQE results into final WB assessment in Norway Anne Lyche Solheim NIVA

2. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Outline Overview of metrics used for classification in Norway Calculation of assessment results for each metric, status class, EQR and Normalised EQR Combination of metrics within one BQE/QE Combination of BQEs/QEs to one final result per WB –One-out-all-out principle, use of supporting QEs –Criteria for consideration of uncertainty of metrics –Grouping of metrics according to criteria –Application of method on data from surveillance monitoring of lakes

3. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Overview of metrics used for classification of lakes Phytoplankton: –chlorophyll a, –biovolume, trophic index, bloom intensity (Cyanobacteria biomass, evenness) Macrophytes: –Trophic index, –max depth colonisation, HyMo index Benthic fauna: –ASPT in outflow river, Raddum index (acidification), Fish: –Fish index based on changes in species composition Physico-chemical QEs: –TotP, TotN, Secchi-depth, Oxygen bottom waters,

4. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Calculation of assessment results for each metric 1.Averaging metric values for each sample to annual mean values per lake 2.Calculating EQRs for each annual metric value 3.Normalising the EQRs using simple interpolation to allow combination of different metrics

5. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Combination of metrics within one BQE or supporting QE If several metrics for one pressure (HyMo): Simple averaging is done If combining metrics for different pressures: One-out-all-out principle is used Acidification Eutrophication HYMO Combine parameters final complete result From classification guidance

6. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Use of supporting QEs Average assessment results (normalised EQRs) for parameters within one pressure: –Nutrients (Tot-P, Tot-N, secchi depth, oxygen) –Acidification (pH, ANC, Ali) –HyMo (water level fluctuation, structure of riparian zone…) If BQEs are moderate or worse: then supporting QEs are not used for classification of status If all BQEs are high or good and supporting QEs are moderate or worse: –then downgrade WB to one status class lower from high to good or from good to moderate (as in classification guidance)

7. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Criteria for consideration of uncertainty of metrics Low uncertainty: – All intercalibrated (IC) metrics or BQEs –All metrics correlated to IC metrics with published regressions (e.g. Total Phosphorus correlated to chlorophyll a) Medium uncertainty: – Non-intercalibrated metrics with solid empirical basis High uncertainty: –Non-intercalibrated metrics with weak empirical basis. –Metrics developed for only few water types, but not for the types to which the WBs belong (e.g. metrics developed for clearwater lakes that are not applicable to humic lakes, e.g. secchi depth) –Metrics developed originally for other water categories (river metrics applied to lakes) Metrics with high uncertainty are not used for final WB classification

8. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Grouping of metrics according to uncertainty criteria

9. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Application of method on data from surveillance monitoring of lakes Lake Store Skillingen (Reference lake) Quality element ValueStatus classEQRNormalised EQR BQEs Phytoplankton (chlorophyll a, µg/l) 1,88H0,530,81 Macrophytes tax.comp. index (TIc) 90H0,950,82 * Benthic fauna organic load index: ASPT (outlet river)5,84M0,850,56 * Benthic fauna acidification index: Raddum 2 (outlet river)9,58H4,791,00 * Benthic fauna acidification index: NIVA indeks (outlet river)1,50M Benthic fauna acidification index for lakes (Raddum 1) 1,00H * Fish index, tax.comp. change 0,2P/B0,200,2 Total assessment all BQEs (OOAO for metrics with low or medium uncertainty) H0,81 Physico-chemical QEs Total -P, µg/l4H0,750,84 Total-N, µg/l179H1,261,00 * Secchi-depth, m6,1G0,61 pH6,66H0,980,86 ANC, µekv/l109,15H0,950,87 LAl, µg/l8,5G0,290,64 Total assessment for eutrophication parameters H0,92 Total assessment for acidification parameters H0,86 Total assessment for whole water body H0,81 * Metrics not used for final assessment due to high uncertainty

10. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Application of method on data from surveillance monitoring of lakes Lake Askjemvatn (Eutrophied lake) Quality element ValueStatus class EQRNormalised EQR BQEs Phytoplankton (chlorophyll a, µg/l) 47B0,070,17 Macrophytes tax.comp. index (TIc) -10P0,530,33 *Benthic fauna organic load index: ASPT (outlet river) *Benthic fauna acidification index: Raddum 2 (outlet river) *Benthic fauna acidification index: NIVA indeks (outlet river) Benthic fauna acidification index for lakes (Raddum 1) * Fish index, tax.comp. change Total assessment all BQEs (OOAO for metrics with low or medium uncertainty) B0,17 Physico-chemical QEs Total -P, µg/l28M0,250,46 Total-N, µg/l1172P0,260,28 * Secchi-depth, m1,95M0,390,59 pH ANC, µekv/l LAl, µg/l Total assessment for eutrophication parameters P0,37 Total assessment for acidification parameters Total assessment for whole water body B0,17 * Metrics not used for final assessment due to high uncertainty

11. Polsko-Norweski Fundusz Badań Naukowych / Polish-Norwegian Research Fund Thank you for your attention