A Stressor Specific Multimetric Approach for Monitoring Running Waters in Austria Using Benthic Macro-Invertebrates

Ofenböck, Thomas; Moog, Otto; Gerritsen, Jeroen; Barbour, Michael T.

doi:10.1007/978-94-007-0993-5_15

Cited by 55 publications

(52 citation statements)

References 15 publications

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“…The first sign of impairment are often associated with changes in the relative proportions of various taxa. Taxa richness is the simplest diversity measures used for evaluating different stressors (Royer et al, 2001;Ofenboeck et al, 2004). A decrease of taxa richness in response to disturbance is reported by many authors (Barbour et al, 1996;Karr and Chu, 1999) but others like Metcalfe (1989) indicated increase of taxa richness with intermediate disturbance.…”

Section: Benthic Macroinvertebrate Metrics and Stressor Typesmentioning

confidence: 99%

Assessing anthropogenic impacts using benthic macroinvertebrate as bio-indicators in central highland streams of Ethiopia

Lakew¹

2015

Ethiop. J. Env Stud & Manag

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Section: Benthic Macroinvertebrate Metrics and Stressor Typesmentioning

confidence: 99%

Assessing anthropogenic impacts using benthic macroinvertebrate as bio-indicators in central highland streams of Ethiopia

Lakew¹

2015

Ethiop. J. Env Stud & Manag

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“…In other cases, more specific data on the causes of deterioration is required. Thus, we distinguish two main forms of multi-metric index: (1) the general approach and (2) the stressorspecific approach (e.g., Ofenböck et al 2004). Stressor-specific multi-metric indices can only be derived if data reflecting different specific stress types and environmental gradients are available and the autecology of the targeted organism group is well known.…”

Section: • Setting Class Boundaries • Interpretation Of Resultsmentioning

confidence: 99%

“…The revisions comprised alterations and additions to the list of indicator taxa, type-specific saprobic reference conditions (Rolauffs et al 2004) and an adaptation to the ecological status classification of the WFD. Currently, the saprobic system is part of the multi-metric indices used in Austria (Ofenböck et al 2004(Ofenböck et al , 2010a, Czech Republic , and Germany (Meier et al 2006). …”

Section: The Saprobic Systemmentioning

confidence: 99%

Riverine Ecosystem Management

Schmutz¹,

Sendzimir²

2018

122

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Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author (s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paperThis Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Challenges in Riverine Ecosystem Management Jan Sendzimir and Stefan SchmutzThis book is dedicated to those interested in the natural and social sciences and elements of governance that will support the sustainable management of rivers and aquatic ecosystems. Since elements of nature and society interact to determine the integrity and trajectory of these systems, they are referred to hereafter as socialecological systems (SESs). This introduction opens the door to these topics in four steps. It begins by explaining why a book dedicated to river management and science is needed at this point. In the second part, it outlines the history of some of the major developments that challenge the integrity of SESs worldwide. In the third part, it describes several of the principal tools used to study as well as manage SES. Tools to measure the degree of degradation of an SES include indicators of biological integrity, ecosystem health, and resilience. Tools to assess and manage the trajectory of an SES include the DPSIR and adaptive management. The introduction closes by outlining the structure of the book through the progression of its chapters. Justification of BookRivers are among the most threatened ecosystems of the world. For more than a centur...

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“…Hence, in a degraded mountainous stream the macrophyte and psammal-argylal substrate increases. This feature of hydromorphological degradation has been identified to be one of the most important stressors affecting the in-stream biota in many Central European stream types (Ofenböck et al 2004). …”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Use of self-organizing maps in modelling the distribution patterns of gammarids (Crustacea: Amphipoda)

Krasznai

Boda

Csercsa

et al. 2016

Ecological Informatics

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Self Organizing Maps (SOMs) are increasingly popular methods in processing highdimensional ecological data, however, their potentials are not yet fully utilized. It was our objective to prove evidence on an unknown advantage of the SOMs which we aimed to test using data on the spatial distributional patterns of gammarids. Quantitative samples and a wide spectrum of environmental data were obtained from the catchment area of two of the largest side tributaries of the Tisza River. Distributional patterns and habitat preference of three Gammarus species were described by Self Organizing Map methods and regression tree analysis (CART) on spatial and temporal scale. Using SOMs helped us to bring out distinctions in our data and enhance the differences, thus making them easier to recognize and A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPTalso, with their help, we were able to model the relations of the species to habitat types nonexistent among our samples. According to the analysis Gammarus roeselii preferred low altitudes, high conductivity, fine substrate, deep actual mean depth and dense plant coverage;G. fossarum preferred rocky stream beds, high altitude, lower temperatures and little actual mean depth; while G. balcanicus preferred coarse substrate, little or no plant coverage and low temperature. SOMs improved the correlations that proved to be highly useful: besides their use to display complex data in a perspicuous way they have other advantages in bringing out existing relationships in data otherwise difficult to detect.

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A Stressor Specific Multimetric Approach for Monitoring Running Waters in Austria Using Benthic Macro-Invertebrates

Cited by 55 publications

References 15 publications

Assessing anthropogenic impacts using benthic macroinvertebrate as bio-indicators in central highland streams of Ethiopia

Assessing anthropogenic impacts using benthic macroinvertebrate as bio-indicators in central highland streams of Ethiopia

Riverine Ecosystem Management

Use of self-organizing maps in modelling the distribution patterns of gammarids (Crustacea: Amphipoda)

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