M-AMBI revisited: looking inside a widely-used benthic index (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• M-AMBI revisited: looking inside a widely-used benthic index (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1007/s10750-013-1565-y (literal)

Alternative label

• Sigovini, Marco and Keppel, Erica and Tagliapietra, Davide (2013)
  M-AMBI revisited: looking inside a widely-used benthic index
  in Hydrobiologia (Dordr., Online)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Sigovini, Marco and Keppel, Erica and Tagliapietra, Davide (literal)

Pagina inizio

• 41 (literal)

Pagina fine

• 50 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 717 (literal)

Rivista

• Hydrobiologia (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISMAR, Venezia (literal)

Titolo

• M-AMBI revisited: looking inside a widely-used benthic index (literal)

Abstract

• M-AMBI is a multimetric index for assessing the ecological quality status of marine and transitional waters. It is based on benthic macroinvertebrates and integrates AMBI, a biotic index based on species sensitivity/tolerance, with diversity and richness, making it compliant with the European Water Framework Directive. The success of AMBI paved the way for the introduction of M-AMBI, which was subsequently incorporated into the regulations of several European countries. The M-AMBI algorithm integrates the metrics by means of factor analysis (FA). In this paper, we first reproduced the algorithm using the open source R software. This enabled us to point out that FA is not functional to M-AMBI, and its omission does not appreciably change the results. We then enhanced the applicability of the index, making it independent of the number of samples. In this way, M-AMBI is closely approximated by the simple mean of the normalised metrics with no need for multivariate techniques. Finally, we further simplified the approach, presenting a bivariate version that is still highly correlated with M-AMBI, in which the constitutive metrics are reduced to a diversity measure and a species sensitivity index. The properties of this bivariate version include simplicity, transparency, robustness, and openness. (literal)

Prodotto di

• Marine science institute (ISMAR) (Istituto)

Autore CNR

• Marco SIGOVINI (Persona)
• ERICA KEPPEL (Persona)
• DAVIDE TAGLIAPIETRA (Unità di personale interno)

Incoming links:

Prodotto

• Marine science institute (ISMAR) (Istituto)
• http://www.cnr.it/ontology/cnr/individuo/modulo/ID8857

Autore CNR di

• ERICA KEPPEL (Persona)
• DAVIDE TAGLIAPIETRA (Unità di personale interno)
• Marco SIGOVINI (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Hydrobiologia (Rivista)