Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria
Identification
- Public canonical key
- doi:10.1007/s00506-021-00799-5
- Authors
- Alice Retter · Christian Griebler · Johannes Christoph Haas · Steffen Birk · Christine Stumpp · Heike Brielmann · Lucas Fillinger
- Reported year
- 2021
- Reported language
- en
- Source type
- article
- First detected
- 2026-11-09T19:19:12.746966+00:00
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- 2026-11-09T19:19:12.746966+00:00
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BOKU University · Environment Agency Austria · Nawi Graz · University of Graz · University of Vienna
Documentary abstract — original language
Abstract The assessment and monitoring of the ecological quality and status of groundwater is a timely issue. At present, various assessment tools have been developed that now await application and validation. One of these, the D‑A‑C index, evaluates the microbiological-ecological quality of groundwater based on of prokaryotic cell counts, microbial activity measurements, and the qualitative characterization of dissolved organic carbon (DOM). The purpose of this paper is to illustrate the different ways of application of the D‑A-(C) index making use of a recently collected data set (n = 61) from the river Mur valley, Austria. First, we present an extension of the D‑A-(C) index by including measurements of dissolved organic matter quality (DOM) derived from fluorescence spectroscopy as additional variables to supplement the analysis of microbial cell density and activity levels. Second, we illustrate how the definition of a reference status for a ‘good’ microbiological-ecological state can improve the analysis and allow for a more sensitive and accurate detection of impacts on groundwater ecosystems. Based on our results, we advocate that the analysis be performed by making use of expert knowledge for the definition of reference sites to which target sites are to be compared.
Identifiers
- OPENALEX
- W3199263206
- DOI
- 10.1007/s00506-021-00799-5
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- article
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- AT
- Natural entities mentioned
- River · Ecosystem
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OpenAlex · Record 1 · Record 2
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Cite this reference
Alice Retter; Christian Griebler; Johannes Christoph Haas; Steffen Birk; Christine Stumpp; Heike Brielmann; Lucas Fillinger. Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria. 2021. https://doi.org/10.1007/s00506-021-00799-5
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- APA
- Alice Retter; Christian Griebler; Johannes Christoph Haas; Steffen Birk; Christine Stumpp; Heike Brielmann; Lucas Fillinger. (2021). Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria. https://doi.org/10.1007/s00506-021-00799-5
- Chicago
- Alice Retter; Christian Griebler; Johannes Christoph Haas; Steffen Birk; Christine Stumpp; Heike Brielmann; Lucas Fillinger. Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria. 2021. https://doi.org/10.1007/s00506-021-00799-5
- ISO 690
- Alice Retter; Christian Griebler; Johannes Christoph Haas; Steffen Birk; Christine Stumpp; Heike Brielmann; Lucas Fillinger. Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria. 2021. https://doi.org/10.1007/s00506-021-00799-5
UDTR Global Rights of Nature Legal Library. Application of the D-A-(C) index as a simple tool for microbial-ecological characterization and assessment of groundwater ecosystems—a case study of the Mur River Valley, Austria. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-9469a6bb2dff04f67faa5a3db6c55024/ · Last HTTP verification: not performed
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Version 208742c9fc5c4da1 · udtr-reference-1.1.2
- Title
- OpenAlex · source · 2026-11-09T19:19:12.746966+00:00
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- OpenAlex · source · 2026-11-09T19:19:12.746966+00:00
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ba77e910b13af7bc · 2026-11-09T19:19:12.746966+00:00
e795b9306e4b1687 · 2026-11-09T19:19:12.746966+00:00
ddff7ebf8940a190 · 2026-11-09T19:19:12.746966+00:00
208742c9fc5c4da1 · 2026-11-09T19:19:12.746966+00:00
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Discovery source · https://doi.org/10.1007/s00506-021-00799-5
Discovery source · https://openalex.org/W3199263206
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