Diatom Indicators of Fluctuating/Intermittent Discharge from Springs in Two Bavarian Nature Conservation Areas
Marco Cantonati,
Chiara Casoria,
Reinhard Gerecke,
Olena P. Bilous,
Giulia Maisto,
Stefano Segadelli,
Daniel Spitale,
Alana Steinbauer,
Sebastian Vogel,
Abdullah A. Saber
Affiliations
Marco Cantonati
Department of Biological, Geological and Environmental Sciences—BiGeA, Alma Mater Studiorum—University of Bologna, Via Selmi 3, 40126 Bologna, Italy
Chiara Casoria
Department of Biology, Università degli Studi di Napoli Federico II, Via Cinthia, 80126 Naples, Italy
Reinhard Gerecke
Department of Evolution and Ecology, Eberhard-Karls-Universität Tübingen, Auf der Morgenstelle 28E, 72076 Tübingen, Germany
Olena P. Bilous
Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Gregor-Mendel-Straße 33/DG, 1180 Vienna, Austria
Giulia Maisto
Department of Biology, Università degli Studi di Napoli Federico II, Via Cinthia, 80126 Naples, Italy
As a follow-up to the project “Springs in the Bavarian National Parks as Indicators of Climate Change (SpringNPB)”, a standard methodology for using springs as sentinel environments of climate change was transferred to the UNESCO Rhön Biosphere Reserve and other Bavarian middle-elevation mountain ranges. We studied diatoms from fifteen springs selected in the UNESCO Biosphere Reserve (9) and Steigerwald Nature Park (6). A total of 127 species belonging to 40 genera were found sampling 3 microhabitat types (lithic materials, hygrophilous or aquatic vegetation, and surface sediments). The cumulative percentage of endangered species according to the Red List was 41.5%. These very shaded, low–medium conductivity, low-discharge forest springs are fed by small surficial aquifers. As a consequence, the discharge fluctuates widely, and some springs even occasionally fall dry. Our results could contribute to the use of diatoms as indicators of discharge variability/desiccation in springs: springs affected by discharge variability have lower diatom species richness and distinct diatom communities; diatom indicators and metrics can be validated using invertebrates; larger databases will be necessary to identify the most suitable diatom indicators.