NDLI: Stream order-dependent diversity metrics of epilithic diatom assemblages

Content Provider	Springer Nature Link
Author	Stenger Kovács, Csilla Tóth, Lívia Tóth, Franciska Hajnal, Éva Padisák, Judit
Copyright Year	2013
Abstract	Diatoms are considered as an appropriate indicator group for ecological status assessment of surface waters. These organisms can be indicative not only of the waterchemical but also of the hydro-morphological characteristics (e.g., stream size, physical habitat diversity) of running waters. In this study, diatom diversity metrics (species number, Shannon diversity, and evenness) from 506 sites in Pannon ecoregion (Hungary) were compared to the Strahler stream order system established with ArcView GIS 3.2. SOM analyses were performed to exclude the effect of nutrients on diversity metrics along the stream orders. Mixed-effects linear models and Tukey’s post hoc test revealed a linear relationships between species number, diversity and stream orders on ecoregion level from first- to eighth-order streams. The species number increases with an average of 8%, and the diversity by 10% per unit increase of the stream order. However, we could not find relationships with evenness. Autotrophic diversity metrics based on diatom species data appear to increase parallel with the stream order while those of heterotrophic metrics (published in the literature) maximize at medium stream orders. We argue that stream order is a relevant typological parameter which can basically determine the diatom diversity metrics, and it is well applicable in biomonitoring.
Starting Page	67
Ending Page	75
Page Count	9
File Format	PDF
ISSN	00188158
Journal	Hydrobiologia
Volume Number	721
Issue Number	1
e-ISSN	15735117
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-08-07
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Stream order Diatom Biomonitoring Species number Diversity ArcView Water Framework Directive Freshwater & Marine Ecology Ecology Zoology
Content Type	Text
Resource Type	Article
Subject	Aquatic Science

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