Skip to main content Accessibility help
×
Home

Small-scale variability of benthic macroinvertebrates distribution and its effects on biological monitoring

  • Alex Laini (a1), Alessio Vorti (a1), Rossano Bolpagni (a1) and Pierluigi Viaroli (a1)

Abstract

The within-site patchy distribution of organisms represents a natural source of variability that can bias the precision of biotic indices. This study aims to evaluate the spatial distribution of benthic macroinvertebrates and its effects on the biotic index used in Italy for assessing the ecological status of rivers. Two main issues were considered: the sampling design and the minimum number of replicates which are necessary to achieve a given precision level. To this purpose, 30 surber replicates were taken, instead of the ten required for the application of the index, in a homogeneous reach of a mid-sized perennial river (Trebbia River, Northern Italy). The percentile confidence interval (p.c.i.) of the index was calculated from 1000 possible communities with the resampling method and the bootstrap procedure. The 95% p.c.i. varied from 0.195 to 0.227, which is great considering that the index ranges from 0 to 1. The metrics based on abundance data were especially affected by the heterogeneous distribution of organisms. The resulting precision of the index increased only partially when doubling the sampling effort.

Copyright

Corresponding author

*Corresponding author: alex.laini@unipr.it

References

Hide All
[1]Barnes, J.B., Vaughan, I.P. and Ormerod, S.J., 2013. Reappraising the effects of habitat structure on river macroinvertebrates. Freshw. Biol., 58, 21542167.
[2]Bournaud, M., Tachet, H., Berly, A. and Cellot, B., 1998. Importance of microhabitat characteristics in the macrobenthos microdistribution of a large river reach. Ann. Limnol. - Int. J. Lim., 34, 8398.
[3]Boyero, L. and Bailey, R.C., 2001. Organization of macroinvertebrate communities at a hierarchy of spatial scales in a tropical stream. Hydrobiologia, 464, 219225.
[4]Buffagni, A. and Erba, S., 2007. Macroinvertebrati acquatici e Direttiva 2000/60/EC (WFD) – Parte A. Metodo di campionamento per i fiumi guadabili. IRSA-CNR Notiziario dei Metodi Analitici, 1, 227.
[5]Buffagni, A., Erba, S. and Pagnotta, R., 2008. Definizione dello Stato ecologico dei fiumi sulla base dei macroinvertebrati bentonici per la 200/60/EC (WFD): il sistema di classificazione MacrOper per il monitoraggio operativo. IRSA-CNR Notiziario dei Metodi Analitici, 1, 2446.
[6]Bray, J.R. and Curtis, J.T., 1957. An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr., 27, 325349.
[7]Brooks, A.J., Haeusler, T.I.M., Reinfelds, I. and Williams, S., 2005. Hydraulic microhabitats and the distribution of macroinvertebrate assemblages in riffles. Freshw. Biol., 50, 331344.
[8]Campaioli, S., Ghetti, P.F., Minelli, A. and Ruffo, S., 1994. Manuale per il riconoscimento dei macroinvertebrati delle acque dolci italiane Volume 1, Edizione del Museo di Storia Naturale di Trento, 357 p.
[9]Campaioli, S., Ghetti, P.F., Minelli, A. and Ruffo, S., 1998. Manuale per il riconoscimento dei macroinvertebrati delle acque dolci italiane Volume 2, Edizione del Museo di Storia Naturale di Trento, 135 p.
[10]Clarke, K.R., 1993. Non-parametric multivariate analyses of changes in community structure. Aust. J. Ecol., 18, 117143.
[11]Clarke, R.T. and Hering, D., 2006. Errors and uncertainty in bioassessment methods – major results and conclusions from the STAR project and their application using STARBUGS. Hydrobiologia, 566, 433439.
[12]Culp, J.M., Walde, S.J. and Davies, R.W., 1983. Relative importance of substrate particle size and detritus to stream benthic macroinvertebrate microdistribution. Can. J. Fish Aquat. Sci., 40, 15681574.
[13]Efron, B. and Tibshirani, R.J., 1993. An Introduction to the Bootstrap, Chapman & Hall, New York, 456 p.
[14]Fenoglio, S., Bo, T., Agosta, P. and Malacarne, G., 2005. Temporal and spatial patterns of coarse particulate organic matter and macroinvertebrate distribution in a low-order Apennine stream. J. Freshw. Ecol., 20, 539547.
[15]Heino, J., Louhi, P. and Muotka, T., 2004. Identifying the scales of variability in stream macroinvertebrate abundance, functional composition and assemblage structure. Freshw. Biol., 49, 12301239.
[16]Lake, P.S., 2000. Disturbance, patchiness, and diversity in streams. J. N. Am. Benthol. Soc., 19, 573592.
[17]Legendre, P. and Legendre, L., 1998. Numerical Ecology, (2nd edn), Elsevier Scientific, Amsterdam, 853 p.
[18]Li, J., Herlihy, A., Gerth, W., Kaufmann, P., Gregory, S., Urquhart, S. and Larsen, D.P., 2001. Variability in stream macroinvertebrates at multiple spatial scales. Freshw. Biol., 46, 8797.
[19]Niemi, G.J. and McDonald, M.E., 2004. Application of ecological indicators. Annu. Rev. Ecol. Evol. S., 35, 89111.
[20]Oksanen, J., Guillaume Blanchet, F., Kindt, R., Legendre, P., Minchin, P.R., O'Hara, R.B., Simpson, G.L., Solymos, P., Henry, M., Stevens, H. and Wagner, H., 2013. vegan: Community Ecology Package. R package version 2.0–8. http://CRAN.R-project.org/package=vegan.
[21]R Core Team, 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
[22]Vlek, H.E., Šporka, F. and Krno, I., 2006. Influence of macroinvertebrates sample size in bioassessment of stream. Hydrobiologia, 566, 523542.
[23]Woodward, G., 2009. Biodiversity, ecosystem functioning and food webs in freshwaters: assembling the jigsaw puzzle. Freshw. Biol., 54, 21712187.
[24]Woodward, G., Friberg, N. and Hildrew, A.G., 2010. Science and non-science in the biomonitoring and conservation of fresh waters. In: de Carlo, F. and Bassano, A. (ed.), Freshwater Ecosystems and Aquaculture Research, Nova Science, Hauppauge, NY, USA, 277288.

Keywords

Small-scale variability of benthic macroinvertebrates distribution and its effects on biological monitoring

  • Alex Laini (a1), Alessio Vorti (a1), Rossano Bolpagni (a1) and Pierluigi Viaroli (a1)

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed