Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA) 1 Agenda item 4:...

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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA) 1 Agenda item 4: Practical training 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

Transcript of Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA) 1 Agenda item 4:...

Page 1: Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA) 1 Agenda item 4: Practical training for reporting of State-of-Environment.

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)1

Agenda item 4:

Practical training 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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Examples - training data

• Examples from Norway: – phytobenthos in rivers (EQR)– macroinvertebrates in rivers (EQR)– macrophytes in lakes (EQR)

• Examples from Macedonia:– phytoplankton in lakes (additional metrics)

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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3Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Outline: suggested exercises

1) Calculation of biological metrics from raw data

2) Setting ecological status class

3) Calculation of national EQR values from biological metrics

4) Calculation of normalised EQR values from national EQR values

5) Filling in EEA templates (Excel)

6) Delivering data to EEA (CDR)

7) Checking automatic feedback from EEA

Optional: NIVA tools

(excel sheets)

developed for internal

use

Mandatory: EEA tools

for use by all

countries

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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)4

1) Calculation of biological metrics from raw data

Tools:

Metric_River_Phytobenthos_NIVA.xlsx

Metric_River_Macroinvertebrates_NIVA.xlsx

(Metric_Lake_Phytoplankton_NIVA.xlsx) (not checked)

(Metric_Lake_Macrophytes_NIVA.xlsx)

How to use the tools: Check the formula in the Excel tool for metric calculation against information in the presentation.

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Taxon list PIT indicator value

Binuclearia tectorum 3,72

Lemanea fluviatilis 6,98

Chamaesiphon rostafinskii 4,37

River phytobenthos metric: PITBackground information

• More information: Schneider, S. & Lindstrøm, E.-A, 2011. The periphyton index of trophic status PIT: A new eutrophication metric based on non-diatomaceous benthic algae in Nordic rivers. Hydrobiologia 665:143–155.

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

i

i

n

IVPIT

n

i 1

PIT = periphyton index of trophic statusIVi = indicator value of species ini = number of indicator species

4,37+6,98+3,72

3= 5,02

Example

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River macroinvertebrate metric: ASPTBackground information

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

• Average Score Per Taxon: The ASPT equals the average of the tolerance scores of all macroinvertebrate families found, and ranges from 0 to 10.

• Tolerance scoring table and more information:http://en.wikipedia.org/wiki/Biological_monitoring_working_party

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• Four different metrics are combined into a single normalised EQR value

Lake Phytoplankton metricsBackground information

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Biomass

Chlorophyll a

Planteplankton EQRn

nEQR

nEQR

average

nEQR

Abundance nEQR

nEQR

Composition nEQR

Cyanomax nEQR*

average

Species composition: PTI(Phytoplankton Trophic Index)

Bloom index: Max. biomass of cyanobacteria

Cyanomax nEQR is included if worse than average of nEQR for Abundance and Composition

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• TIc (Trophic Index count) represents the relationship between number of sensitive and tolerante taxa in a lake.

• The metric ranges from -100 (worst) to +100 (best).

• More information: Penning, E., B. Dudley, M. Mjelde et. al. 2008. Using aquatic macrophyte community indices to define the ecological status of European lakes. Aquatic Ecology 42: 253-264.

Lake macrophytes metric: TIcBackground information

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA) 19.4.2012Marit Mjelde 8

100

N

NNTIc TS

NS = no. of sensitive species

NT = no. of tolerant species

N = total no. of species (sensitive, tolerant and indifferent)

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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)9

2) Setting ecological status classfrom metric value and class boundaries

Tools:

Metric_[BQE]_NIVA.xlsx

NO_ClassBoundaries_[date].xlsx

EQR_calc_NIVA_empty_[date].xlsx

EQR_calc_NIVA_answers_[date].xlsx

How to use the tools: Fill in correct metric values, class boundaries and other relevant information into the empty EQR calculation sheet. Check the formula and check the "calculated" status against the sheet with answers.

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Setting ecological status with Excel tool

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Formula will determine the status given the metric value and the class boundaries

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Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)11

3) Calculation of nationalEcological Quality Ratios (EQR)

from biological metrics and reference valueTools:

EQR_calc_NIVA_empty_[date].xlsx

EQR_calc_NIVA_answers_[date].xlsx

How to use the tools:Check the formula and check the calculated EQR value against the sheet with answers.

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Three "methods" for calculation of EQR

• EQR should decrease from 1 to 0 when pressure increases from best to worst

• Method 1: for metrics that decrease with higher pressure• Method 2: for metrics that increase with higher pressure• Method 3: for both types of metrics

• ("Methods" are my own labels - not official descriptions)

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Calculation of national EQR: "Method 1"

• For metrics with LOWER value at higher pressure• The simplest case

• Example: ASPT (macroinvertebrates in rivers elv, general degradation incl. organic pressures)

• Formula: EQR = [observed] / [reference]

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Calculation of national EQR: "Method 1"

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

P/B

M/P

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Calculation of national EQR: "Method 2"

• For metrics with HIGHER value at higher pressure

• Example: Chl-a (eutrophication)

• Formula: EQR = [reference] / [observed]

• Not ideal solution...

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Calculation of national EQR: "Method 2"

Problem:•When the formula is turnet "upside down", the EQR value becomes "distorted"•The EQR value will "behave strangely" in the extreme ends of the pressure gradient

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Total P

Chl-aRef

Total P

RefChl-a

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Calculation of national EQR: "Method 3"

• Can be used for both types of metrics:• For metrics with LOWER value at higher pressure

– Example: macrophytes in lakes, eutrophication (TIc)

• For metrics with HIGHER value at higher pressure– Example: phytobenthos in rivers, eutrophication (PIT)

• Formula:

EQR = [observed]-[worst possible value]

[reference]-[worst possible value]

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Overview of EQR calculation methods for Norwegian metrics

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Category BQE Metric EQR method

Lake Phytoplankton Chl a Method 2

Lake Phytoplankton PTI, Total biomass, Cyanobacteria biomass

Method 3

Lake Macrophytes TIc Method 3

Lake Macroinvertebrates Multiclear Method 1

Lake Fish WS-FBI Method 1

Lake, river Fish Fish index Method 1

River Phytobenthos Trophic index PIT Method 3

River Phytobenthos Acidification index AIP Method 3

River Macroinvertebrates ASPT Method 1

River Macroinvertebrates Acidification index 1 Method 1

River Macroinvertebrates Acidification index 2 Method 1

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Calculating national EQR with Excel tool

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Formula will calculate the national EQR value given•the metric value•the reference conditions •(the worst value, for "Method 3")

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4) Calculation of normalised EQR values from national EQR values, status class

and class boundariesTools:

EQR_calc_NIVA_empty_[date].xlsx

EQR_calc_NIVA_answers_[date].xlsx

How to use the tools:Check the formula and check the calculated normalised EQR value against the sheet with answers.

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Example of normalised EQR

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

NATIONALEQR

NORMALISED EQR

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Calculation of normalised EQR

• Generel formula for normalised EQR: (cb = class boundary for the status of the given EQR value)

= ([EQR] - [Lower EQR cb]) x ([Upper nEQR cb] - [Lower nEQR cb]) + [Lower nEQR cb]

[Upper EQR cb] - [Lower EQR cb]

= ([EQR] - [Lower EQR cb]) x 0.2 + [Lower nEQR cb] [Upper EQR cb] - [Lower EQR cb]

• Normalised EQR should not exceed 1– values >1 are rounded down to 1.

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Calculating normalised EQR with Excel tool

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Formula will calculate the normalised EQR given •the (national) EQR•the status class•the class boundaries in EQR scaleand round values >1 down to 1.

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5) Filling in EEA templates

Tools:

Templates Rivers.xls and Lakes.xls (can be downloaded from DD).

Data in Excel files delivered 2012 from Norway and Macedonia: NO_Phytobenthos_Rivers_2011.xls, Prespa_Lake_2010.xls, Ohrid_Lake_2011.xls (can be downloaded from CDR).

How to use the tools:Transfer data delivered in 2012 into the templates for 2013. Make sure that data are put into the correct tables and columns.

(NB: There are changes in the template format from 2012 to 2013).

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Download most recent EEA Excel template

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Fill inn the relevant tables

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Use of excel templates from EEA

• Always download and use most recent version• Do not change format (sheets, columns, headings, etc.)• Report both data and class boundaries in the correct

scale (EQR)Excel template does not contain any built-in tools for calculation or checking of consistency with DD

• Deviations from DD can be discovered by automatic quality assessment (QA) directly after delivery to CDR

• Automatic feedback should be checked; if necessary correct and redeliver data

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Examples of filled in EEA templates

• Biology in rivers - EQR values – Phytobenthos, Norway– Based on data delivered in 2012

(NB: not the same data as used in the EQR calculation tool)– Rivers_NO_PB_test_errors.xls– Rivers_NO_PB_test_correct.xls

• Biology in lakes - additional data– Phytoplankton, Macedonia– Based on data delivered in 2012 – Lakes_MK_PP_additional_test.xls

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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6) Uploading data to CDR (test site)

Test data delivery: http://cdrtest.eionet.europa.eu/

Username: reporter, Password: r

Tools:

Templates that you have filled in, or the existing test datasets:

Lakes_MK_PP_additional_test.xls (Data reported 2012)

Rivers_NO_PB_test_correct.xls (Data reported 2012)

Rivers_NO_PB_test_errors.xls (Data reported 2012, manipulated)

How to use the tools:Deliver the files as they are, or add/change records first.

Check feedback, and correct records if necessary.

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Data should be uploaded

to correct country

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Make a new envelope for uploading test data delivery

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

Include your initials in the

envelope name

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7) Checking automatic QA feedback

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Test delivery: Lakes_MK_PP_additional_test.xls

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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QA test results for Lakes_MK_PP_additional_test.xls

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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QA test results forRivers_NO_PB_test_errors.xls

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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QA test results forRivers_NO_PB_test_errors.xls

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Suggested exercises: Summary and overview

NB: Use of NIVA tools for Steps 1-4 is optional,

can also be done manually

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Excercises: overview of steps and tools

1) Calculate metric values – Check formulae and results in Metric_[BQE]_NIVA.xlsx

2) Use metric value & class boundaries to set status class

3) Use metric value & reference conditions to calculate (national) EQR

4) Use (national) EQR, status class & class boundaries to calculate normalised EQR

For steps 2-4:– Get class boundaries and reference conditions for each metric

(and each waterbody type) from file NO_ClassBoundaries_[date].xlsx

– Enter values into EQR_calc_NIVA_empty_[date].xls– Check results against EQR_calc_NIVA_answers_[date].xls

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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Excercises: overview of steps and tools

5) Fill inn EQR values and additional lake metrics in EEA Excel templates– Download rivers.xls, lakes.xls from http://dd.eionet.europa.eu/ – Get data from files NO_Phytobenthos_Rivers_2011.xls,

Prespa_Lake_2010.xls, Ohrid_Lake_2011.xls– Fill inn tables of templates: Stations[...], Biology[...],

ClassificationSystem[...]

6) Upload filled-in templates to Reportnet– Log in to http://cdrtest.eionet.europa.eu/ as reporter (r)– Create your own folder under Macedonia or Norway– Upload Excel file

7) Check the automatic feedback– If necessary, correct and re-deliver the Excel files

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)

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• If you find errors in any of the excel tools, please let me know!

• If the automatic QA routines fail in any way, please let me know!

Event, date: Reporting of SoE biology, 25-26.09.2013 Author: Jannicke Moe (NIVA)