Relations between environmental gradients and diversity indices of benthic  invertebrates in lotic systems of northern Italy

Aschonitis, V. G.; Castaldelli, G.; Fano, E. A.

doi:https://doi.org/10.5194/we-16-13-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/we-16-13-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Ecology at the Interface

https://doi.org/10.5194/we-16-13-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 1

Short communication

|

01 Feb 2016

Short communication |

| 01 Feb 2016

Relations between environmental gradients and diversity indices of benthic invertebrates in lotic systems of northern Italy

V. G. Aschonitis, G. Castaldelli, and E. A. Fano

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Cited articles

Aschonitis, V. G., Feld, C. K., Castaldelli, G., Turin, P., Visonà, E., and Fano, E. A.: Environmental stressor gradients hierarchically regulate macrozoobenthic community turnover in lotic systems of Northern Italy, Hydrobiologia, 765, 131–147, 2016.

Brittain, J. E. and Milner, A. M.: Ecology of glacier-fed rivers: current status and concepts, Freshwater Biol., 46, 1571–1578, 2001.

Clarke, A., Mac Nally, R., Bond, N., and Lake, P. S.: Macroinvertebrate diversity in headwater streams: a review, Freshwater Biol., 53, 1707–1721, 2008.

Feld, C. K. and Hering, D.: Community structure or function: effects of environmental stress on benthic macroinvertebrates at different spatial scales, Freshwater Biol., 52, 1380–1399, 2007.

ter Braak, C. J. F. and Smilauer, P.: CANOCO Reference Manual and CanoDraw for Windows User's Guide Version 4.5. Wageningen and České Budějovice, 2002.

Short summary

The relations between environmental gradients and traditional diversity indices (taxonomic richness, diversity and evenness) of benthic macroinvertebrate communities in the lotic systems of northern Italy were analyzed. Redundancy analysis (RDA) was used to describe the response of taxa to environmental gradients. Diversity indices were analyzed using generalized linear models (GLMs) with explanatory variables the first two major RDA axes.