BS PD CEN TR 16151-2011 Wat er quality nGuidance on the design nof Multimetric Indices《水质 设计指南综合指标》.pdf

1、raising standards worldwide NO COPYING WITHOUT BSI PERMISSION EXCEPT AS PERMITTED BY COPYRIGHT LAW BSI Standards Publication PD CEN/TR 16151:2011 W a t e r quality Guidance on the design of Multimetric IndicesPD CEN/TR 16151:2011 PUBLISHED DOCUMENT National foreword This Published Document is the UK

2、 implementation of CEN/TR 16151:2011. The UK participation in its preparation was entrusted to T e c h n i c a l C o m m i t t e e E H / 3 / 5 , B i o l o g i c a l M e t h o d s . A list of organizations represented on this committee can be obtained on request to its secretary. This publication doe

3、s not purport to include all the necessary provisions of a contract. Users are responsible for its correct application. BSI 2011 ISBN 978 0 580 71891 5 ICS 13.060.45 Compliance with a British Standard cannot confer immunity from legal obligations. This Published Document was published under the auth

4、ority of the Standards Policy and Strategy Committee on 30 April 2011. Amendments issued since publication Date T e x t a f f e c t e dPD CEN/TR 16151:2011TECHNICAL REPORT RAPPORT TECHNIQUE TECHNISCHER BERICHT CEN/TR 16151 April 2011 ICS 13.060.45 English Version Water quality - Guidance on the desi

5、gn of Multimetric Indices Qualit de leau - Lignes directrices pour la conception des indices multimtriques Wasserbeschaffenheit - Anleitung zur Planung und Erstellung Multimetrischer Indices This Technical Report was approved by CEN on 27 December 2010. It has been drawn up by the Technical Committe

6、e CEN/TC 230. CEN members are the national standards bodies of Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slov

7、akia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EUROPEAN COMMITTEE FOR STANDARDIZATION COMIT EUROPEN DE NORMALISATION EUROPISCHES KOMITEE FR NORMUNG Management Centre: Avenue Marnix 17, B-1000 Brussels 2011 CEN All rights of exploitation in any form and by any means reserved worldwide

8、 for CEN national Members. Ref. No. CEN/TR 16151:2011: EPD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 2 Contents Page Foreword 3 Introduction .4 1 Scope 5 2 Terms and definitions .5 3 Principle 6 4 Procedure .7 4.1 General 7 4.2 Selection of Candidate Metrics 8 4.3 Exclusion of redundant metrics .8 4.4

9、 Definition of Upper and Lower Anchors 8 4.5 Transformation into a 0 to 1 score .9 4.6 Selection of core metrics 9 4.7 Combination of Core Metrics to a Multimetric Index indicating a single stressor or indicating general degradation (general multimetric approach) 9 4.8 Combination of Core Metrics to

10、 a Multimetric Index separating the impact of different stressors 10 Annex A (informative) Examples for metrics used to assess individual Biological Quality Elements, assigned to metric types 11 Bibliography . 12 PD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 3 Foreword This document (CEN/TR 16151:2011)

11、 has been prepared by Technical Committee CEN/TC 230 “Water analysis”, the secretariat of which is held by DIN. Attention is drawn to the possibility that some of the elements of this document may be the subject of patent rights. CEN and/or CENELEC shall not be held responsible for identifying any o

12、r all such patent rights. PD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 4 Introduction Multimetric Indices are among the commonly used tools for classification of the quality of fresh water and brackish water ecosystems (rivers, lakes, transitional waters, wetlands). A Multimetric Index combines severa

13、l individual metrics, the results of which are finally combined into a Multimetric result. Thus Multimetric Indices integrate several attributes of a community (“metrics”) to describe and assess condition. Different categories of metrics (e.g. taxa richness, share of sensitive and tolerant species,

14、trophic structure) reflecting different environmental conditions are combined into one Multimetric Index. Multimetric Indices can be applied to different aquatic ecosystems (rivers, lakes, transitional waters, wetlands) and to different Biological Quality Elements (fish, benthic invertebrates, macro

15、phytes, phytoplankton, phytobenthos). They are flexible in terms of the composition of metrics, since different metrics are suited for the assessment of different ecosystems or different stressors. In recent years, a wide variety of Multimetric Indices has been developed and is now being applied, pa

16、rticularly for the purpose of implementing the Water Framework Directive. It can be expected that many existing Multimetric Indices will be adapted and many new ones will be developed within the next years. To enhance comparability between Multimetric assessment systems the procedure of developing a

17、nd applying a Multimetric Index is described. PD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 5 1 Scope This document describes methods for developing and applying Multimetric Indices used for assessing rivers, lakes, transitional waters or wetlands. It is suitable for use with data on fish, benthic inve

18、rtebrates, macrophytes, phytoplankton, and phytobenthos. 2 Terms and definitions For the purposes of this document, the following terms and definitions apply. 2.1 Anchors (Upper and Lower Anchors) values of a metric, which are empirically set and defined as “1” (Upper anchor) and “0” (Lower anchor),

19、 respectively, for transferring a metrics result into a 0 to 1 score NOTE The Upper Anchor relates to the reference value (i.e. the metrics value under reference conditions). The Upper Anchor can be calculated from the median or mean of reference samples or by other appropriate statistical methods a

20、s described in 4.3. The Lower Anchor is related to the lower limit of the metrics value under the worst ecological quality conditions. 2.2 fresh water or brackish water type (river type, lake type, transitional water type) division into an ecologically meaningful entity of sites with limited biotic

21、and abiotic variation and a recognisable discontinuity with other types NOTE Fresh water or brackish water types serve as “units“, to which an assessment system can be applied. 2.3 metric measurable part or process of a biological system empirically shown to change in value along a gradient of human

22、 influence 2 NOTE It reflects specific and predictable responses of the community to human activities, either to a single factor or to the cumulative effects of all events and activities within a watershed. 2.4 metric type metrics addressing comparable aspects of a community, regardless of the stres

23、sor to which the metrics are responding NOTE The following metric types can be distinguished (see Annex A): composition / abundance metrics: all metrics giving the share of a taxon or taxonomic group in relation to the total number of individuals counted; all metrics giving the abundance of a taxon

24、or taxonomic group; metrics comparing reference and observed taxa (e.g. similarity indices); richness / diversity metrics: all metrics giving the number of taxa within a certain taxon (including the total number of taxa), all diversity indices; sensitivity / tolerance metrics: all metrics giving the

25、 ratio of taxa sensitive and insensitive to stress in general or to a certain stress-type, either using presence/absence or abundance information; functional metrics: all metrics addressing the characteristics of taxa other than their taxonomic definition (biological or ecological traits, ecological

26、 guilds): feeding types, habitat preferences, ecosystem type preferences, current preferences, life-history parameters, body-size parameters; they can be based on taxa abundance or richness. PD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 6 2.5 Multimetric Index combination of the results of three or mor

27、e metrics 2.6 stressor category of direct or indirect human impact to a fresh water, which potentially influences the composition and / or abundance of stream biota NOTE The following stressors can be distinguished: organic pollution: organic matter input induced by human activities; eutrophication:

28、 nutrient input induced by human activities; acid stress: permanently or temporarily decreased pH value due to human activities; temperature stress; toxic stress: effects of toxic contaminants released by human activities; degradation in stream morphology: bed and bank alteration, habitat degradatio

29、n, riparian land use, straightening, migration barriers, siltation; hydrological stress: alteration of flow regime, e.g. residual flow, pulse releases; general degradation: simultaneous and inseparable impacts of more than one stressor. 2.7 stressor gradient set of sites of a fresh water ecosystem t

30、ype with a varying intensity of a stressor 3 Principle Two ways of calculating Multimetric Indices can be distinguished: the “general approach” and the “stressor- specific approach”. In the “general approach”, various metrics are calculated from a taxa list. The metric results are individually compa

31、red to the respective metric values under reference conditions. From this comparison, a score for each metric is determined. These scores are finally combined into a Multimetric Index (Figure 1). The “stressor-specific” approach sorts a suite of metrics according to their ability to detect a certain

32、 stressor. Thus, the scores of the metrics addressing a single stressor are first combined into a value reflecting the intensity of this stressor. The assessment results for all stressors are finally combined into the Multimetric Index (Figure 2). Both ways of calculating Multimetric Indices may hav

33、e advantages in certain situations: The “general approach”, carefully applied, provides an overview of a water bodys status and is, thus, mainly suited if the specific effects of individual stressors on the targeted organism group are not known in detail. It can, for example, be applied for the gene

34、ral ecological quality assessment and for intercalibration purposes. The “stressor specific approach” can only be applied if precise information on the effects of different stressors (e.g. acidification, organic pollution) on the targeted organism group are known and it is most suited for investigat

35、ive monitoring purposes, tailored towards the identification of alteration causes. The results of a Multimetric Index can be viewed at different levels: at the upper level there is the Ecological Quality Class, at the second level (in case of the stressor specific approach) are the results of the st

36、ressor specific modules (quality classes “organic pollution” and “stream morphology degradation” in Figure 2) and at the third level the results of the individual metrics are produced. PD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 7 Figure 1 The “general approach” of multimetric assessment Figure 2 “St

37、ressor-specific approach” of multimetric assessment 4 Procedure 4.1 General The procedure of developing a Multimetric Index is composed of the following steps: Selection of Candidate Metrics; Exclusion of Redundant Metrics; Definition of Upper and Lower Anchors; Transformation of Core Metrics into a

38、 0 to 1 score; Selection of Core Metrics; PD CEN/TR 16151:2011 CEN/TR 16151:2011 (E) 8 Combination of Core Metrics to a Multimetric Index. 4.2 Selection of Candidate Metrics Select only those metrics showing a quantitative dose-response change across a stressor gradient that is reliable, interpretab

39、le and not dispersed or obscured by natural variation. Selecting Candidate Metrics consists of the following steps: a) Compilation of a data set of the freshwater type the Multimetric Index will apply to. This dataset shall include data on the Biological Quality Element that the Multimetric Index wi

40、ll use, for different sites covering the widest range of alteration. b) If the required information is available, metrics of all metric types should be calculated (composition / abundance metrics, richness / diversity metrics; sensitivity / tolerance metrics; functional metrics). c) Definition of a

41、stressor gradient within the dataset by: 1) using abiotic data on the individual sites, describing the impact of a single stressor (e.g. data on BOD 5or on oxygen content for a Multimetric Index addressing organic pollution; 2) using abiotic data on the individual sites, describing the impact of gen

42、eral degradation (e.g. data on catchment land use; hydromorphological modification and water pollution combined); 3) defining a gradient within an ordination space of the taxonomic composition of the Biological Quality Element reflecting “general degradation” or the major single stressor. The stress

43、or gradient can either be defined covering the whole range from “high” to “bad” quality (preferred option), or by just defining a part of it. It can be defined either in five classes (“high”, “good”, “moderate”, “poor”, “bad”), or as “unstressed sites” and “stressed sites” or as a continuous gradien

44、t. d) Correlating the results of a metric to the stressor gradient. If the stressor gradient has been defined in quality classes, t-Test, Mann-Whitney U test or rank correlation should be used. If the stressor gradient is defined as a continuous gradient, Pearsons R or Spearmans R should be used, or

45、 any appropriate statistical method. Using the appropriate test a Candidate Metrics results must show a significant correlation to the stressor gradient. This correlation can be positive or negative, either across the whole stressor gradient measured or for a part of the stressor gradient measured (

46、e.g. only moderate to high quality sites). Metrics fulfilling this criterion are in principle suitable for the assessment of degradation of the fresh water ecosystem type and can be selected as Candidate Metrics. 4.3 Exclusion of redundant metrics Two Candidate Metrics belonging to the same Metric T

47、ype with a comparable ecological significance and delivering similar results within a data set, should not be simultaneously included into a Multimetric Index. To avoid this, a correlation matrix of all metrics selected as Candidate Metrics needs to be produced. If two analogous metrics have a Spear

48、mans R or Pearsons R of 0,8 one of those metrics should be excluded from the Multimetric Index, preferably the one with the poorest correlation with the stressor gradient. 4.4 Definition of Upper and Lower Anchors The Upper Anchor is coherent to the reference value of the metric, i.e. a robust and p

49、redictable metrics value under reference conditions. Reference conditions might be set site specifically (e.g. using a predictive system) or type specifically and relate to the site or types condition if they were undisturbed by stressors. If numerous data on reference sites are available, the Upper Anchor can be set as a percentile (25 % or 10 %) of all metric values of the reference sites. If few data are available for reference sites the m