Benthic macroinvertebrates are considered to be good indicators of the trophic status of lakes but in the Mediterranean area gaps in knowledge on taxonomical and autoecological traits of species hinder their potential as indicators. Seventy-eight Italian lakes were sampled, belonging to 10 types according to morphometrical, geographical and geological parameters. An unsupervised neural network (SOM analysis) was carried out using 65 Chironomid and Oligochaete species collected in 1865 samples. he accordance between lake types and species assemblages was tested. Indicator weight of species was calculated considering their optima for trophic variables (dissolved oxygen, TP, transparency). A Benthic Quality Index (BQI) and a weighted diversity index were then calculated to test their potential as indicators of trophic status of lakes. Alpine, volcanic and large profundal lakes were separated into diferent clusters, characterized by diferent communities, chemical and morphometrical parameters. On the contrary, other lake types with similar trophic status were grouped together, showing similar taxa assemblages. BQI values were in agreement with the trophic condition of lakes, while the weighted diversity index showed low values for alpine lakes due to low species numbers.

Benthic macroinvertebrates as indicators in lakes / B. Rossaro, A. Boggero, V. Lencioni, L. Marziali - In: Analisi spazio-temporali: dinamiche e processi a confronto / R. Bottarin, U. Schirpke, U. Tappeiner ; [a cura di] R. Bottarin, U. Schirpke, M.C. Stella. - Bolzano : EURAC research, 2010. - ISBN 978-88-88906-56-0. - pp. 95-102 (( Intervento presentato al 19. convegno Congresso SITE tenutosi a Bolzano nel 2009.

Benthic macroinvertebrates as indicators in lakes

B. Rossaro
Primo
;
2010

Abstract

Benthic macroinvertebrates are considered to be good indicators of the trophic status of lakes but in the Mediterranean area gaps in knowledge on taxonomical and autoecological traits of species hinder their potential as indicators. Seventy-eight Italian lakes were sampled, belonging to 10 types according to morphometrical, geographical and geological parameters. An unsupervised neural network (SOM analysis) was carried out using 65 Chironomid and Oligochaete species collected in 1865 samples. he accordance between lake types and species assemblages was tested. Indicator weight of species was calculated considering their optima for trophic variables (dissolved oxygen, TP, transparency). A Benthic Quality Index (BQI) and a weighted diversity index were then calculated to test their potential as indicators of trophic status of lakes. Alpine, volcanic and large profundal lakes were separated into diferent clusters, characterized by diferent communities, chemical and morphometrical parameters. On the contrary, other lake types with similar trophic status were grouped together, showing similar taxa assemblages. BQI values were in agreement with the trophic condition of lakes, while the weighted diversity index showed low values for alpine lakes due to low species numbers.
Chironomidae; benthic macroinvertebrates; lakes; biotic indexes
Settore BIO/07 - Ecologia
Settore BIO/05 - Zoologia
2010
EURAC SITE
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/153584
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