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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)1
Agenda item 2:
Practical information for reporting of State-of-Environment biology data
Training on reporting of SoE biological elements in rivers and lakes
25-26 September 2013,
Skopje and Ohrid, the Former Yugoslav Republic of Macedonia
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2Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Outline
• Building blocks of SoE biology data– Concepts– Purpose– (More details on calculation in Agenda item 4)
• Tools for reporting biology data– Excel files from NIVA (unofficial)– Web pages and templates from EEA
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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)3
Building blocks of SoE biology data
– Biological Quality Elements (BQE)– National classification system:
Class boundaries and reference conditions– Ecological status class– Ecological Quality Ratios (EQR) - national and normalised
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Biological Quality Elements (BQEs)
BQEs for which EEA requests data:•Phytobenthos in rivers (PB)
– Main pressure: eutrophication
•Macroinvertebrates in rivers (MI)– Main pressure: general degradation
•Phytoplankton in lakes (PP)– Main pressure: eutrophication
•Macrophytes in lakes (PP)– Main pressure: eutrophication
– Other main pressures: Acidification, Hydromorphology
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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National classification system:Reference value and class boundaries
Hypothetical metric:•Metric value: 15•Reference value: 20•Class boundaries for ecological status:
– High/Good = 17 – Good/Moderate = 11 – Moderate/Poor = 7 – Poor/Bad = 4
•Worst possible value: 0•Best possible value: 20 (?)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Normalising EQR
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
PreparedPrepared byby: : AAnnenne LycheLyche SolheimSolheim & JRC& JRC
H/G
M/P
P/B
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Combining status of metrics and pressuresinto status of BQEs
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Correct level for reporting to EEA:BQE & pressure typee.g. macroinvertebrates & hydrology
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Ecological Quality Ratio (EQRs)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Normalising EQR
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
PreparedPrepared byby: : AAnnenne LycheLyche SolheimSolheim & JRC& JRC
"Best value"
"Worst value"
METRICEQR
(NATIONAL)
H/G
M/P
P/B
• WFD requires calculation of EQR values
• EEA requests EQR values for SoE biology data
• A (national) EQR value for a metric is the ratio between the measured value and the reference value
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National EQRs
• National EQR is normally in the range 0 (bad) - 1 (high)– Can also exceed 1 !
• For metrics that decrease with the pressure gradient:EQR = measured value divided by reference value ("Method 1")
• For metrics that increase with the pressure gradient: EQR = reference value divided by measured value ("Method
2")or
alternative method ("Method 3")
• (More details in session 4)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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• Normalisation adjusts the nationalEQR values relative to the set of normalised class boundaries:– H/G = 0.8
– G/M = 0.6
– M/P = 0.4
– P/B = 0.2
Normalised EQRs
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Normalising EQR
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
PreparedPrepared byby: : AAnnenne LycheLyche SolheimSolheim & JRC& JRC
EQR (NATIONAL)
NORMALISED EQR
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Why do we normalise EQR values?
• Normalised class boundaries are common for all countries
• Benefits of normalised EQR (nEQR):– Can be compared across countries
– Useful for trend analyses
– Can more easily combine metrics for one Biological Quality Element
• E.g. Norway has 4 metrics for phytoplankton, combined as nEQR
– More informative about ecogical state relative to class boundaries• nEQR >0.6 always means Good status or better
– Can be used for trend analyses (in future)
• The process is relatively new - no official documentation available
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Should countries report national or normalised EQRs?
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Normalising EQR
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
Metricvalue
20
0
G/M 11
SG/G 17
7
4
national EQR for the metric
1
0
0,8517/20
11/200,55
7/200,35
4/200,20
Normalised EQR for the metric
1
0
0,80
0,60
0,40
0,20
15 0,75(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60(0,75-0,55)*(0,80-0,60)
(0,85-0,55)+0,60
0,73
M/D
SD/D
REF
PreparedPrepared byby: : AAnnenne LycheLyche SolheimSolheim & JRC& JRC
EQR (NATIONAL)
NORMALISED EQR
Countries can report either•national EQR + class boundaries (in EQR scale) + WaterbodyType infoor•normalised EQR
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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)12
Tools for reporting biology data
– Reporting Obligations Database (ROD)– Data request letter– Reporting sheets– Data dictionary– Excel templates from EEA– Central Data Repository (CDR)– Automatic Quality Assessment (QA) routines
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Reporting Obligations Database (ROD)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Reporting Obligations Database (ROD)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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ROD contains data deliveries from all countries
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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ROD contains links to much other information
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Data dictionaries (DD):technical description,instructions for reporting
Request letter 2013: overview of data request
Reporting sheets:information on reporting for each main group of parameters
CDR: where you upload the data Waterbase: where EEA
publishes the data
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SoE data request letter 2013
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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From data request letter: specifications for biology data
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Reporting sheets for biology: content
• What should be reported? (parameters requested)• Why is it needed? (Justification of indicator)• How should it be reported? (parameter specifications)• Treatment of data before reporting (temporal and spatial
aggregation of samples)• Methodological details (sampling and analyses)• One reporting sheet for each BQE
– 5: BIO_INV_RV (macroinvertebrates in rivers)– 17: BIO_ALG_RV (phytobenthos in rivers)– 6: BIO_PHY_LK (phytoplankton in lakes)– 7: BIO_AQU_LK (macrophytes in lakes)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Reporting sheets for biology: example
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Data Dictionary (DD)
• Full technical description and instructions for SoE data reporting– Description of all fields (columns)– Allowed values (or text) for many of the fields
• Contains templates for data delivery• Updated every year, based on comments from data
providers• Biology reporting is included in Rivers DD and Lakes DD • http://dd.eionet.europa.eu/datasets/latest/rivers• http://dd.eionet.europa.eu/datasets/latest/lakes
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Data Dictionary
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
printable version of DD (pdf) - most recent version
excel template for reporting - most recent version
link to most recent version of DD
(other file formats are also allowed)
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23Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
• Biology data now are integrated with Rivers / Lakes databases, and can be linked to pressures, nutrients and hazardous substances through a common Stations table.
• Two types of biology data:– Ecological quality ratios– Additional metrics (lakes only)
DD contains the Data model: relationships between tables
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DD contains specification for each table
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Table specification: BiologyLakes_EQR
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
National WB type: mandatory
Intercalibration WB type: fixed "values" (code list)
You can report either (national) EQR or normalised EQR
Ecological status class:mandatory
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Table specification: ClassificationSystemLakes
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
All 4 class boundaries must be reported
One set of class boundaries for each different BQE, impact type and water body type
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Central Data Repository (CDR)
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
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Automatic Quality Assurance routines
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)
Example of automatic feedback for data delivery from MK in 2012
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Additional QA feedback from data managers
Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)