diversity
Article
N90, a Diversity Index Sensitive to Variations in Beta
Diversity Components
Maria Teresa Farriols * , Francesc Ordines and Enric Massutí
Citation: Farriols, M.T.; Ordines, F.;
Massutí, E. N90, a Diversity Index
Sensitive to Variations in Beta
Diversity Components. Diversity 2021,
13, 489. https://doi.org/10.3390/
d13100489
Academic Editor: Michael Wink
Received: 31 August 2021
Accepted: 30 September 2021
Published: 6 October 2021
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4.0/).
Centre Oceanogràfic de les Balears, Instituto Español de Oceanografía, Moll de Ponent s/n, 07015 Palma, Spain;
xisco.ordinas@ieo.es (F.O.); enric.massuti@ieo.es (E.M.)
* Correspondence: mt.farriols@ieo.es
Abstract: Species diversity in a community is mainly related to the number and abundance of
species that form it. N
90
is a recently developed diversity index based on the results of the similarity
percentage (SIMPER) analysis that represents the number of species contributing up to ninety percent
of within-group similarity in a group of samples. The calculation of N
90
is based on the Bray–Curtis
similarity index and involves the number of species and abundances in a group of samples. We have
explored the properties of N
90
compared to other alpha, beta and gamma diversity indices and to
beta diversity measures accounting for nestedness and turnover. We have used a non-real data set
to compare the values of all indices with N
90
and two real data sets of demersal fish communities
along large and short depth gradients with higher influence of turnover and nestedness, respectively,
to correlate the same indices with N
90
. The sensitivity of N
90
to reductions in the frequency of
occurrence and the evenness of the distribution of species abundances among samples allows the
detection of diversity loss due to the fishing-induced retreatment of species populations to localities
presenting the most favorable ecological conditions. This property, both in the identification of species
replacement and species loss through SIMPER analysis, make N
90
a useful indicator to support the
Ecosystem Approach to Fisheries within the current context of global change.
Keywords: beta diversity; similarity; species richness; species replacement; species loss; turnover; nest-
edness
1. Introduction
Diversity is a founding, but at the same time, complex concept in ecology. More than
species diversity in the community, understood as a group of interdependent organisms of
different species growing or living together in a specified habitat, diversity can be related
to genetic diversity within populations or diversity of functional traits. However, for
most ecologists, diversity has to do with the number and abundance of species in the
community, and a lot of attempts have been made to express this concept numerically.
Because of this, a high number of diversity indices have been proposed showing different
aspects of the community structure, taking into account factors ranging from the number
of species and the relative abundance or biomass of these species, to the taxonomic or
functional relationships between them [1]. Although it is generally agreed that diversity
is a multidimensional concept and that the use of diversity indices depends on what
effect on diversity you want to detect, there is no consensus about the indices that should
be used in each case. However, traditional or classical diversity indices such as Species
Richness (S), Shannon (H
′
) or Pielou’s evenness (J
′
), are usually chosen to describe biological
communities because, at least, they are easy to calculate and allow comparisons with
previous works. Although in recent years, a new family of diversity indices, known as
Hill numbers, have been preferred because they have shown more desired properties than
the raw form [2,3]; for example, they obey an intuitive replication principle or doubling
property and they are all expressed in units of effective numbers of species [4].
Diversity 2021, 13, 489. https://doi.org/10.3390/d13100489 https://www.mdpi.com/journal/diversity