Assessment of water quality in the Alqueva Reservoir (Portugal) using bioassays

Pérez, Joanne; Loureiro, Susana; Menezes, Salomé; Palma, Patrícia; Fernandes, Rosa Maria Castilhos; Barbosa, I.R.; Soares, Amadeu M.V.M.

doi:10.1007/s11356-009-0174-9

Cited by 36 publications

(19 citation statements)

References 19 publications

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“…The present study ratified the susceptibility of the algae P. subcapitata to the join toxicity of the herbicides found in the waters of the Alqueva reservoir (Pérez et al 2010). Biomonitoring carried out using bioassays in the Alqueva aquatic system showed low algae growth rates even when total pesticide concentration was below 25 lg/l and when several pesticide concentrations were above of their individual limits 0.5 lg/l (accordingly to the EU Directive 2008/105/EC and to the Portuguese law DL 236/38 and its annex documents).…”

Section: Binary Mixture Toxicity Testssupporting

confidence: 74%

“…This legislation specifies the protection of water ecosystems as a whole, thus not only based on safe concentrations for individual chemicals (Verro et al 2008a, b). There are several examples throughout Europe where water quality is not proper for human consumption or for a proper environmental quality and equilibrium (Barata et al 2007;Damásio et al 2008;Pérez et al 2010).…”

Section: Introductionmentioning

confidence: 99%

“…In the study of Pérez et al (2010), several pesticides were detected in the last years in the waters of the Alqueva reservoir (south of Portugal), showing the existence of water ecotoxicity on samples from the reservoir possibly due to the presence of significant concentrations of s-triazine herbicides (e.g. atrazine, simazine and terbuthylazine) and the chloroacetanilide metolachlor.…”

Section: Introductionmentioning

confidence: 99%

“…In the Alqueva aquatic system, pesticide and metallic elements were analyzed (Pérez et al 2010), but the levels found for s-triazine herbicides and metolachlor were of the most concern in several time sampling. s-Triazines are specific inhibitors of the photosynthetic electron transport.…”

Section: Introductionmentioning

confidence: 99%

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Growth rate of Pseudokirchneriella subcapitata exposed to herbicides found in surface waters in the Alqueva reservoir (Portugal): a bottom-up approach using binary mixtures

et al. 2011

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Previous work showed the existence of ecotoxicity of water samples from the Alqueva reservoir due to the presence of the herbicides atrazine, simazine, terbuthylazine and metolachlor. In the present study we examine the effects of these herbicides singly and as binary mixtures on the growth rate of the microalgae Pseudokirchneriella subcapitata. Usually, the toxicity of mixtures is evaluated in relation to the reference models CA (concentration addiction) and IA (independent action). In this study CA model was selected to evaluate the joint effects of s-triazine herbicides on the growth of algae due to their similar mode of action. Moreover, IA reference model was chosen to evaluate the joint toxicity of the chloroacetanilide metolachlor and the s-triazine herbicides due to their different mode of action. In this study dose ratio was the common deviation obtained on both reference models. In the binary mixtures between atrazine/simazine and atrazine/terbuthylazine the increase of the mixtures toxicity (synergism) was mainly due to atrazine. Also, in the binary mixture between atrazine and metolachlor, atrazine was responsible for the increase (synergism) of the mixture toxicity. In the cases of the binary mixtures between simazine/metolachlor and terbuthylazine/metolachlor, the increase of the mixtures toxicity (synergism) was detected when metolachlor was the herbicide dominant, and antagonism was detected when simazine and terbuthylazine were dominant in both mixtures. This study represents an important step to understand the interactions among herbicides detected previously in the waters of the Alqueva reservoir.

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Section: Binary Mixture Toxicity Testssupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Growth rate of Pseudokirchneriella subcapitata exposed to herbicides found in surface waters in the Alqueva reservoir (Portugal): a bottom-up approach using binary mixtures

et al. 2011

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“…Lindane and α‐endosulfan were also detected between 1983 and 1993 in surface water samples collected in the Almonda River (Cerejeira et al, 2003). The values of some pesticides detected in this study (alachlor, atrazine, chlorpyrifos, metolachlor, simazine, and terbuthylazine) in surface waters from the Alentejo region of Portugal were reported by other authors (Palma et al, 2008, 2009, 2010; Pérez et al, 2010).…”

Section: Resultssupporting

confidence: 84%

Assessing the Quality of Freshwaters in a Protected Area within the Tagus River Basin District (Central Portugal)

et al. 2012

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Water-sediment quality was assessed in an agricultural zone of a protected area within the Tagus River basin district (central Portugal) combining chemical analysis to 12 pesticide compounds and whole toxicity testing using the bacterium , the algae , the crustacean , and the midge . The herbicides alachlor, atrazine ethofumesate, metolachlor, terbuthylazine, the insecticides chlorfenvinphos and chlorpyrifos, and the metabolite 3,4-dichloroaniline were detected in surface water samples at four sites and in groundwater samples from six wells, during four sampling occasions. Measured concentrations were compared with parametric values for human consumption, groundwater quality standards, and environmental quality standards applicable to surface water established in European Union legislation. Most severe adverse effects were noted on the growth of and lethality of in nondiluted water samples. Taking into account the values calculated by the method of toxic unit summation for pesticide mixtures, it was not possible to link the pesticides found to the toxicity detected in the water samples. Conducting this study with chemical analyses and biotests provided a more comprehensive quality assessment and realistic picture of the environmental samples analyzed, although additional studies are needed to evaluate the performance of mixture models for predicting mixture toxicity. This study underlines the importance of chemical analysis and whole toxicity testing as tools for assessing the impact of human activity on the status of water, mainly in protected zones.

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Landscape functioning in reservoir water quality prediction: Current use and predictive capacity

Portela,

Gonçalves,

Cardoso

et al. 2024

Ecohydrology

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Reservoirs fulfil several societal needs, including water storage, energy production, flood control and recreation. However, the interruption of the river continuum may cause water quality declines that compromise water use. The surrounding landscape is a key driver of water quality variation in space and time, both across and within catchments. Therefore, understanding how landscape composition, structure and functioning influence reservoir water quality can help address management challenges. Here, we aim to investigate the current use and predictive capacity of landscape functioning indicators for reservoir water quality prediction. First, we carried out a literature review to investigate which landscape factors are most frequently studied as drivers of water quality in lentic systems. Then, we tested the predictive capacity of landscape functioning indicators in four reservoirs in Portugal using linear mixed models and multi‐model inference. The literature review shows that most studies assess the effects of landscape composition while landscape functioning is rarely included. Our test using four reservoirs suggests that landscape functioning indicators, namely greenness and brightness, can complement landscape composition and structure indicators, improving the capacity to predict total suspended solids, chlorophyll‐a, and total phosphorous. Landscape functioning indicators portrayed temporal variability in ecosystem dynamics that was not encompassed by landscape composition or structure indicators and may be relevant to predict specific water quality parameters. Our results show landscape functioning indicators can improve modelling of landscape contributions to water quality and thus have great potential to contribute to monitoring, modelling and forecast systems for water quality and ecological status.

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Assessment of water quality in the Alqueva Reservoir (Portugal) using bioassays

Cited by 36 publications

References 19 publications

Growth rate of Pseudokirchneriella subcapitata exposed to herbicides found in surface waters in the Alqueva reservoir (Portugal): a bottom-up approach using binary mixtures

Growth rate of Pseudokirchneriella subcapitata exposed to herbicides found in surface waters in the Alqueva reservoir (Portugal): a bottom-up approach using binary mixtures

Assessing the Quality of Freshwaters in a Protected Area within the Tagus River Basin District (Central Portugal)

Landscape functioning in reservoir water quality prediction: Current use and predictive capacity

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