Multimetric Assessment of Data Provided by Water Managers from Germany: Assessment of Several Different Types of Stressors with Macrozoobenthos Communities

Böhmer, Jürgen; Rawer-Jost, Claudia; Zenker, Armin

doi:10.1007/978-94-007-0993-5_13

Cited by 18 publications

(15 citation statements)

References 7 publications

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“…Recently, the European Community announced its determination for the development of multimetric indices in a routine biomonitoring program, the AQEM program (Bö hmer et al, 2004;Buffagni et al, 2004;Hering et al, 2004;Ofenbö ck et al, 2004;Vlek et al, 2004), following the directives established by the European Community Water Framework Directive (European Commission, 2000).…”

Section: Introductionmentioning

confidence: 99%

A multimetric index based on benthic macroinvertebrates for evaluation of Atlantic Forest streams at Rio de Janeiro State, Brazil

et al. 2006

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This study describes the application of a protocol for biological assessment of water quality at first to third order streams at Serra dos Ó rgã os, an area covered by Atlantic Forest in Rio de Janeiro State, Brazil. Major impacts in the region are domestic effluents and deforestation. Our main objective is to establish biocriteria for the establishment of the Serra dos Ó rgã os Multimetric Index (SOMI) based on benthic macroinvertebrates. We used data from previous studies, sampled by experienced biologists, from 1999 through 2002. The benthic macroinvertebrate community was sampled in 12 reference sites and seven impaired sites in three river basins: Guapimirim, Macaé and Grande, all from the same bioregion. From the 22 tested metrics, 6 were included in the SOMI (% Diptera, % Coleoptera, Family Taxa, EPT Taxa, BMWP-CETEC and % Shredders). Scores (5, 3 or 1) were developed for these metrics to allow for aggregation into the index. Seven intermediately impaired sites were used for evaluating the applicability of the multimetric index. We concluded that the SOMI is a robust easy-to-apply tool for biomonitoring programs in the Serra dos Ó rgã os region, south-east Brazil.

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Section: Introductionmentioning

confidence: 99%

A multimetric index based on benthic macroinvertebrates for evaluation of Atlantic Forest streams at Rio de Janeiro State, Brazil

et al. 2006

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“…In Tanzania, for example, most of the industries are located in Dar es Salaam city and mostly discharge their waste waters into Mzinga, Msimbazi, Yombo, and Kizinga rivers, which eventually discharge into the Indian Ocean [2,5]. This, in turn, affects the occurrence, composition, and the distribution of freshwater macroinvertebrate species, depending on their levels of tolerance and adaptability [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Study on Freshwater Macroinvertebrates of Some Tanzanian Rivers as a Basis for Developing Biomonitoring Index for Assessing Pollution in Tropical African Regions

Elias

Ijumba

Mgaya

et al. 2014

Journal of Ecosystems

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Macroinvertebrates and physicochemical parameters were assessed at 15 sites along five rivers in Kilimanjaro region, Tanzania, with the aim of understanding their ecological status and setting a base to the development of a biological index for tropical regions. Investigated rivers that occur within Pangani basin include Karanga, Rau, Lumbanga, Sere, and Umbwe. Sampling sites were categorized according to the level of water and habitat quality as follows: reference or least impacted (4 sites), moderately impacted (5 sites), and highly impacted (6 sites) sites. A total of 12,527 macroinvertebrates belonging to 13 orders and 48 families were recorded. The highest total abundance of 4,110 individuals per m 2 was found in Karanga river, while Umbwe river had the lowest with 1,203 individuals per m 2 . Chironomidae was the most abundant family (2,588 individuals per m 2 ) and the least were Hydridae and Thiaridae, each having 5 individuals per m 2 . High numbers of taxa were noted among the orders: Ephemeroptera (8), Odonata (8), Diptera (7), and Trichoptera (6). In conclusion, orders with greater diversity of macroinvertebrate families offer a wide range of tolerance to pollution and, thus can potentially be used to develop a biomonitoring index for evaluating pollution in tropical African rivers.

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“…The procedure described by Bo¨hmer et al (2004a) is based on the assumption that if the same number of metrics has been selected for each metric type, the Multimetric Index can be calculated as the mean of the 0-1 digit scores of all core metrics. This will attribute the same weight to each metric and metric type.…”

Section: Development Of a Multimetric Index (General Approach)mentioning

confidence: 99%

Cook book for the development of a Multimetric Index for biological condition of aquatic ecosystems: Experiences from the European AQEM and STAR projects and related initiatives

et al. 2006

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The requirements of the European Water Framework Directive (WFD), aimed at an integrative assessment methodology for evaluating the ecological status of water bodies are frequently being achieved through multimetric techniques, i.e. by combining several indices, which address different stressors or different components of the biocoenosis. This document suggests a normative methodology for the development and application of Multimetric Indices as a tool with which to evaluate the ecological status of running waters. The methodology has been derived from and tested on a European scale within the framework of the AQEM and STAR research projects, and projects on the implementation of the WFD in Austria and Germany. We suggest a procedure for the development of Multimetric Indices, which is composed of the following steps: (1) selection of the most suitable form of a Multimetric Index; (2) metric selection, broken down into metric calculation, exclusion of numerically unsuitable metrics, definition of a stressor gradient, correlation of stressor gradients and metrics, selection of candidate metrics, selection of core metrics, distribution of metrics within the metric types, definition of upper and lower anchors and scaling; (3) generation of a Multimetric Index (general or stressor-specific approach); (4) setting class boundaries; (5) interpretation of results. Each step is described by examples.

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Multimetric Assessment of Data Provided by Water Managers from Germany: Assessment of Several Different Types of Stressors with Macrozoobenthos Communities

Cited by 18 publications

References 7 publications

A multimetric index based on benthic macroinvertebrates for evaluation of Atlantic Forest streams at Rio de Janeiro State, Brazil

A multimetric index based on benthic macroinvertebrates for evaluation of Atlantic Forest streams at Rio de Janeiro State, Brazil

Study on Freshwater Macroinvertebrates of Some Tanzanian Rivers as a Basis for Developing Biomonitoring Index for Assessing Pollution in Tropical African Regions

Cook book for the development of a Multimetric Index for biological condition of aquatic ecosystems: Experiences from the European AQEM and STAR projects and related initiatives

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