Bioindicator | EPFL Graph Search

A bioindicator is any species (an indicator species) or group of species whose function, population, or status can reveal the qualitative status of the environment. The most common indicator species are animals. For example, copepods and other small water crustaceans that are present in many water bodies can be monitored for changes (biochemical, physiological, or behavioural) that may indicate a problem within their ecosystem. Bioindicators can tell us about the cumulative effects of different pollutants in the ecosystem and about how long a problem may have been present, which physical and chemical testing cannot. A biological monitor or biomonitor is an organism that provides quantitative information on the quality of the environment around it. Therefore, a good biomonitor will indicate the presence of the pollutant and can also be used in an attempt to provide additional information about the amount and intensity of the exposure. A biological indicator is also the name given to

Empirical validation of MesoHABSIM models developed with different habitat suitability criteria for bullhead cottus gobio L. as an indicator species

Mikolaj Stanislaw Adamczyk, Giovanni De Cesare, Piotr Parasiewicz

Application of instream habitat models such as the Mesohabitat Simulation Model (MesoHABSIM) is becoming increasingly popular. Such models can predict alteration to a river physical habitat caused by hydropower operation or river training. They are a tool for water management planning, especially in terms of requirements of the Water Framework Directive. Therefore, model verification studies, which investigate the accuracy and reliability of the results generated, are essential. An electrofishing survey was conducted in September 2014 on the Stura di Demonte River located in north-western Italy. One hundred and sixteen bullhead—Cottus gobio L.—were captured in 80 pre-exposed area electrofishing (PAE) grids. Observations of bullhead distribution in various habitats were used to validate MesoHABSIM model predictions created with inductive and deductive habitat suitability indices. The inductive statistical models used electrofishing data obtained from multiple mountainous streams, analyzed with logistic regression. The deductive approach was based on conditional habitat suitability criteria (CHSC) derived from expert knowledge and information gathered from the literature about species behaviour and habitat use. The results of model comparison and validation show that although the inductive models are more precise and reflect site- and species-specific characteristics, the CHSC model provides quite similar results. We propose to use inductive models for detailed planning of measures that could potentially impair riverine ecosystems at a local scale, since the CHSC model provides general information about habitat suitability and use of such models is advised in pre-development or generic scale studies. However, the CHSC model can be further calibrated with localized electrofishing data at a lower cost than development of an inductive model.

2019

Utilisation des communautés d’oligochètes pour l’évaluation de la qualité biologique et du fonctionnement des cours d’eau : un bilan à partir de données genevoises (Suisse)

Régis Lionel Vivien

Use of oligochaete communities for the assessment of the biological quality and the functioning of watercourses : a review of data from the Geneva area (Switzerland). – Oligochaetes are used in some cantons in Switzerland to assess the biological quality of watercourse and lake sediments. The oligochaete index of sediment bioindication (IOBS) allows to assess the quality of fine/sandy sediments of watercourses, while the Functional traits method (TRF) is dedicated to assess the quality of surficial coarse sediments and of the hyporheic zone. The TRF method also allows to know the dynamics of hydrological exchanges between surface water and groundwater. In the Geneva area, the IOBS index was applied in routine from 2008 to 2013 (92 samples) and the TRF method was tested in 2012 and 2013. The IOBS index proved to be a good bioindicator of chemical quality of the sediments. Metal toxicity thresholds in sediments were established and proposed. The implementation of the IOBS index in complement to the Swiss Biotic Index (IBCH) allowed to refine the ecological diagnostics. The TRF approach proved to be of great interest to simultaneously assess the biological quality of coarse habitats and of the vertical hydrological exchanges. The IOBS and TRF methods should be more integrated in the monitoring programs of watercourse quality. The current development of methods based on the identification of oligochaetes using genetic barcodes could allow to overcome the problems related to the morphological identification of species and a wider use of oligochaetes as bioindicators.

2015

Testing diﬀerent (e)DNA metabarcoding approaches to assess aquatic oligochaete diversity and the biological quality of sediments

Régis Lionel Vivien

Aquatic oligochaetes are important bioindicators of sediment quality in watercourses and lakes, but their morphological identiﬁcation to the species level is challenging and sometimes impossible. The use of DNA barcoding and metabarcoding could greatly facilitate the identiﬁcations of specimens and improve ecological diagnoses based on oligochaete communities. The aim of this study was to test how well metabarcoding approaches based on high throughout sequencing (HTS) could perform in assessing oligochaete species diversity and the biological quality of sediments. We analysed oligochaete communities at several sites in Swiss rivers, comparing morphological data to metabarcoding of mixed specimen, sieved sediment and total sediment samples. We ampliﬁed the cytochrome c oxidase (COI) marker using universal primers and/or speciﬁc primers to metazoans. Our results showed that metabarcoding analysis of mixed specimens allowed a more representative assessment of the biodiversity than the metabarcoding of sieved or total sediments. Although community structures obtained with the morphological and metabarcoding analyses were diﬀerent in term of presence/ absence of species and species abundances, the ecological diagnoses based on these two approaches largely agreed.

2019

Empirical validation of MesoHABSIM models developed with different habitat suitability criteria for bullhead cottus gobio L. as an indicator species

Mikolaj Stanislaw Adamczyk, Giovanni De Cesare, Piotr Parasiewicz

2019