Literature DB >> 28738506

Taxonomy- or trait-based ecological assessment for tropical rivers? Case study on benthic diatoms in Mayotte island (France, Indian Ocean).

Kálmán Tapolczai1, Agnès Bouchez2, Csilla Stenger-Kovács3, Judit Padisák4, Frédéric Rimet2.   

Abstract

Diatom-based ecological quality assessment methods have been implemented and used regularly in the Water Framework Directive. These indices use the species' abundance profiles along a specific environmental gradient, which they aim to assess. However, this approach has several problematic issues including the unstable and fast-changing diatom taxonomy. The use of traits can be a solution if their responses to the environmental pressure are well-defined. Here, we developed taxonomy-based and trait-based diatom assemblage indices to assess the ecological status of riverine sites on a tropical island. The two indices are based on two sub-indices that measure the diatom assemblage response to a nutrient and organic matter/turbidity gradient. Both taxonomy- and trait-based indices correlated significantly with the selected environmental gradients of the test database, which was not used during index development. We showed that traits could be used for quality assessment of the Mayotte rivers and require much less effort than taxonomy-based indices. There were differences between the two types of indices, which are discussed in this paper. As a perspective for further studies, tests of trait-based indices among different eco-regions would be challenging.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Bacillariophyta; Biomonitoring; Morphological traits; Quality index; Water Framework Directive

Mesh:

Year:  2017        PMID: 28738506     DOI: 10.1016/j.scitotenv.2017.07.093

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Catchment scale deforestation increases the uniqueness of subtropical stream communities.

Authors:  Fabiana Schneck; Luis M Bini; Adriano S Melo; Danielle K Petsch; Victor S Saito; Simone Wengrat; Tadeu Siqueira
Journal:  Oecologia       Date:  2022-07-14       Impact factor: 3.298

2.  Genus-level, trait-based multimetric diatom indices for assessing the ecological condition of rivers and streams across the conterminous United States.

Authors:  Luisa Riato; Ryan A Hill; Alan T Herlihy; David V Peck; Philip R Kaufmann; John L Stoddard; Steven G Paulsen
Journal:  Ecol Indic       Date:  2022-08       Impact factor: 6.263

3.  DNA metabarcoding and microscopic analyses of sea turtles biofilms: Complementary to understand turtle behavior.

Authors:  Sinziana F Rivera; Valentin Vasselon; Katia Ballorain; Alice Carpentier; Carlos E Wetzel; Luc Ector; Agnès Bouchez; Frédéric Rimet
Journal:  PLoS One       Date:  2018-04-16       Impact factor: 3.240

  3 in total

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