Introduction

Butterworth, F. M.; Villalobos-Pietrini, Rafael; Gonsebatt, María E.

doi:10.1007/978-1-4615-1305-6_1

Cited by 8 publications

(3 citation statements)

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“…To date, various systems for assessing water quality have been developed based on indicator species or communities ( Ops etal , 1973 ; Butterworth, Gunatilaka & Gonsebatt, 2001 ). It is known that the spectrum of indicator organisms is quite wide, from protozoa to fish.…”

Section: Introductionmentioning

confidence: 99%

Macrophyte communities as bioindicator of stormwater pollution in rivers: a quantitative analysis

Babko

Дяченко

Zaburko

et al. 2023

PeerJ

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Macrophytes are one of the important indicators used in assessing the anthropic impact on aquatic ecosystems. The structure of macrophyte communities of two rivers were compared by species composition, dominant species and projective cover using statistical methods. It is shown that the influence of storm runoff on these rivers is manifested in the form of a change in the dominant species composition. Based on the statistical analysis carried out, it can be argued that, despite the peculiarities of the flora composition of each of the rivers, the influence of storm runoffs largely neutralizes this specificity, determining the situation in local areas immediately below the runoff. In the area of the effluent discharge the dominance of individual species and an increase in the area overgrown with macrophytes was observed. In the area of stormwater discharge on the Psel River, species were usually present: Nuphar lutea, Ceratophyllum demersum, Myriophyllum spicatum and on the Bystrica River—Glyceria maxima, Sagitaria sagittiformis, Stuckenia pectinata and Potamogeton crispus. The use of the NMDS method has been found to provide good insight into the structural rearrangements in macrophyte communities affected by runoff from stormwater systems.

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Section: Introductionmentioning

confidence: 99%

Macrophyte communities as bioindicator of stormwater pollution in rivers: a quantitative analysis

Babko

Дяченко

Zaburko

et al. 2023

PeerJ

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“…A noteworthy source of inspiration can be found in the field of water pollution monitoring, where biotic communities have been used as direct ecosystem indicators since a long time (Cairns et al, 1979;Coker, 1989;Butterworth et al, 2001;Gerhardt et al, 2006;Li et al, 2010;Holt and Miller, 2011;Siddig et al, 2016). In particular, mussels have been used in biomonitoring since the mid-1970s with the establishment of the "Mussel Watch" program (Goldberg, 1975) and since then they have been widely used worldwide as bioaccumulators for the assessment of aquatic pollution (Schöne and Krause Jr, 2016).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Biological Early Warning System based on Freshwater Mussels’ Valvometry Data

Pilbala,

Riccardi,

Benistati

et al. 2023

Preprint

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Abstract. The aim of this study is to investigate the impact of natural river floods on biotic communities. To this purpose, we used freshwater mussels (FMs), recognized as one of the most reliable bioindicators in aquatic environments. A well-established valvometry technique was applied to measure the FMs valve gaping behaviour, considering both gaping amplitude and frequency. The mussels have been employed in two distinct configurations, either free to move or stuck on vertical bars. We performed experiments in a laboratory flume and in the Paglia River (Italy). The FMs valve gaping movement was first recorded, then the continuous wavelet transform (CWT) analysis was applied to the signals to get the time-dependent frequency of the signals. Laboratory experiments allowed to assess to what extent stuck mussels react differently than free mussels to abrupt increases in flow conditions. Subsequently, we examined the response of thirteen stuck mussels installed in real riverine conditions during a moderate flood occurred on March 31, 2022, with a rapid increase of the water level. The experimental results demonstrate that stuck mussels produce signals that are more consistent and easier to interpret compared to free mussels, primarily due to the reduced number of features resulting from movement constraints. The stuck mussels in the field showed a sharp and timely change of valve gaping frequency as the flood ramped up, thus confirming the findings in the laboratory. The results highlight the effectiveness of using FMs as bioindicators for assessing the impact of floods on the aquatic ecosystem, and the utility of CWT as a suitable signal processing tool for analyzing valvometric time series. These findings provide a pathway towards the integration of FMs valvometry and CWT for the development of operational real-time Biological Early Warning Systems (BEWS) aimed at the monitoring and safeguarding of aquatic ecosystems.

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“…Combined toxic effects, including synergetic and antagonistic ones, cannot be identified by chemical analysis tools. These limitations lead to the development of biological early warning systems (BEWS), which are based on the response of living sentinels (i.e., molluscs, algae, crustaceans, fish) to a contaminant or mixture of them [3]. BEWSs perform a real-time and continuous (24 h) monitoring of physiological and/or behavioural parameters of organism alterations, potentially correlated to water pollution.…”

Section: Introductionmentioning

confidence: 99%

Biological Early Warning Systems: The Experience in the Gran Sasso-Sirente Aquifer

Giacinto

Berti

Carbone

et al. 2021

Water

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Biological early warning systems (BEWS) are installed worldwide for the continuous control of water intended for multiple uses. Sentinel aquatic organisms can alert us to contaminant presence through their physiological or behavioural alterations. The present study is aimed at sharing the experience acquired with water biomonitoring of the Gran Sasso-Sirente (GS-S) aquifer. It represents the major source of the Abruzzi region surface water, also intended as drinkable and for irrigation use. Besides the biomonitoring of drinkable water of the Teramo Province made by Daphnia Toximeter and irrigation water of the L’Aquila Province by Algae Toximeter, a novel sensor named “SmartShell” has been developed to register the behaviour of the “pea clam” P. casertanum, an autochthonous small bivalve living in the Nature 2000 site “Tirino River spring”. The valve movements have been recorded directly on the field. Its behavioural rhythms have been analysed through spectral analyses, providing the basis for further investigations on their alterations as early warnings and allowing us to propose this autochthonous bivalve species as a novel sentinel organism for spring water.

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Introduction

Cited by 8 publications

References 0 publications

Macrophyte communities as bioindicator of stormwater pollution in rivers: a quantitative analysis

Macrophyte communities as bioindicator of stormwater pollution in rivers: a quantitative analysis

Real-Time Biological Early Warning System based on Freshwater Mussels’ Valvometry Data

Biological Early Warning Systems: The Experience in the Gran Sasso-Sirente Aquifer

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