http://www.cnr.it/ontology/cnr/individuo/prodotto/ID254534
M-AMBI revisited: looking inside a widely-used benthic index (Articolo in rivista)
- Type
- 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
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- 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
- Autore CNR
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