Lake shores are characterised by a high natural variability, which is increasingly threatened by a multitude of anthropogenic disturbances including morphological alterations to the littoral zone. The European Water Framework Directive (EU WFD) calls for the assessment of lake ecological status by monitoring biological quality elements including benthic macroinvertebrates. To identify cost- and time-efficient sampling strategies for routine lake monitoring, we sampled littoral invertebrates in 32 lakes located in different geographical regions in Europe. We compared the efficiency of two sampling methodologies, defined as habitat-specific and pooled composite sampling protocols. Benthic samples were collected from unmodified and morphologically altered shorelines. Variability within macroinvertebrate communities did not differ significantly between sampling protocols across alteration types, lake types and geographical regions. Community composition showed no significant differences between field composite samples and artificially generated composite samples, and correlation coefficients between macroinvertebrate metrics calculated with both methods and a predefined morphological stressor index were similar. We conclude that proportional composite sampling represents a time- and cost-efficient method for routine lake monitoring as requested under the EU WFD, and may be applied across various European geographical regions.

Efficient sampling methodologies for lake littoral invertebrates in compliance with the European Water Framework Directive / Porst, Gwendolin; Miler, Oliver; Donohue, Louise; Jurca, Tamara; Pilotto, Francesca; Brauns, Mario; SOLIMINI, ANGELO GIUSEPPE; Pusch, Martin. - In: HYDROBIOLOGIA. - ISSN 0018-8158. - 767:1(2016), pp. 207-220. [10.1007/s10750-015-2500-1]

Efficient sampling methodologies for lake littoral invertebrates in compliance with the European Water Framework Directive

SOLIMINI, ANGELO GIUSEPPE;
2016

Abstract

Lake shores are characterised by a high natural variability, which is increasingly threatened by a multitude of anthropogenic disturbances including morphological alterations to the littoral zone. The European Water Framework Directive (EU WFD) calls for the assessment of lake ecological status by monitoring biological quality elements including benthic macroinvertebrates. To identify cost- and time-efficient sampling strategies for routine lake monitoring, we sampled littoral invertebrates in 32 lakes located in different geographical regions in Europe. We compared the efficiency of two sampling methodologies, defined as habitat-specific and pooled composite sampling protocols. Benthic samples were collected from unmodified and morphologically altered shorelines. Variability within macroinvertebrate communities did not differ significantly between sampling protocols across alteration types, lake types and geographical regions. Community composition showed no significant differences between field composite samples and artificially generated composite samples, and correlation coefficients between macroinvertebrate metrics calculated with both methods and a predefined morphological stressor index were similar. We conclude that proportional composite sampling represents a time- and cost-efficient method for routine lake monitoring as requested under the EU WFD, and may be applied across various European geographical regions.
2016
EU water framework directive; lake monitoring; littoral zone; macroinvertebrates; method comparison; morphological alteration; aquatic science
01 Pubblicazione su rivista::01a Articolo in rivista
Efficient sampling methodologies for lake littoral invertebrates in compliance with the European Water Framework Directive / Porst, Gwendolin; Miler, Oliver; Donohue, Louise; Jurca, Tamara; Pilotto, Francesca; Brauns, Mario; SOLIMINI, ANGELO GIUSEPPE; Pusch, Martin. - In: HYDROBIOLOGIA. - ISSN 0018-8158. - 767:1(2016), pp. 207-220. [10.1007/s10750-015-2500-1]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/871182
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