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Fuzzy-logic indicators for riverbed de-clogging suggest ecological benefits of large wood

Schwindt, Sebastian; Negreiros, Beatriz; Ponce, Maria; Schalko, Isabella; Lassar, Simone; Barros, Ricardo 1; Haun, Stefan
1 Institut für Wasser und Gewässerentwicklung (IWG), Karlsruher Institut für Technologie (KIT)

Abstract:

Rivers provide dynamic habitats with ecological niches, particularly in their mobile sand, gravel, and cobble
riverbed patches that create an active hyporheic zone. Natural or artificial deposition of fine sediment may clog
the porous matrix of the hyporheic zone, impairing exchange processes between the subsurface and surface
water. Clogging reduces the permeability of the sediment matrix, thus degrading the ecological functionality of
the hyporheic zone. Once clogged, the ecological functions may be recovered through active stream restoration,
which requires considerate site assessment. To this end, clogging is typically assessed by expert opinion of
substrate characteristics including grain size characteristics, porosity, hydraulic conductivity, and interstitial
oxygen content. To overcome limitations of expert assessment, such as subjectivity expressed in noisy decision-
making, this study introduces a novel fuzzy-logic method based on physically sound rules. The method provides
quantitative indicators for clogging and declogging to evaluate the effectiveness of stream restoration. We
applied the fuzzy-logic method to test whether the placement of large wood, a common restoration practice, can
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Verlagsausgabe §
DOI: 10.5445/IR/1000163281
Veröffentlicht am 03.11.2023
Originalveröffentlichung
DOI: 10.1016/j.ecolind.2023.111045
Scopus
Zitationen: 4
Web of Science
Zitationen: 4
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2023
Sprache Englisch
Identifikator ISSN: 1470-160X, 1872-7034
KITopen-ID: 1000163281
Erschienen in Ecological Indicators
Verlag Elsevier
Band 155
Seiten Art.-Nr. 111045
Nachgewiesen in Dimensions
Web of Science
Scopus
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