Distribution and bioaccumulation of POPs and mercury in the Ga-Selati River (South Africa) and the rivers Gudbrandsdalslågen and Rena (Norway)

Govaerts, Alison; Verhaert, Vera; Covaci, Adrian; Jaspers, Veerle L.B.; Berg, Ole Kristian; Addo‐Bediako, Abraham; Jooste, Antoinette; Bervoets, Lieven

doi:10.1016/j.envint.2018.10.058

Cited by 45 publications

(19 citation statements)

References 57 publications

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“…TMFs often vary strongly depending on the characteristics of the studied food web (e.g., biodiversity, food web dynamics, energy, and nutrient cycling), season and temperature of the studied ecosystem, the sampling strategies and coverage of taxa and species, and the system dynamics [9,[13][14][15][16][17][18][19][20]. For TL normalization, it would, therefore, be ideal to derive the TMFs directly in the ecosystem under consideration.…”

Section: The Last Column Lists the Protection Goals On Which The Eqs mentioning

confidence: 99%

“…In the stable isotope analysis, which is essential for the calculation of the trophic position of the analyzed organisms (and thus a pre-requisite for the TMF calculation), mostly an trophic enrichment increment from one trophic level to the next of Δ 15 N = 3.4‰ was applied [26]. Only a few studies used other factors, i.e., 2.79‰ [35], 3‰ [13], and 3.8‰ [36][37][38][39][40]. Jardine et al [41] provide mercury TMFs for stream ecosystems based on Δ 15 N = 2 ‰ and also recalculated TMFs using Δ 15 N = 3.4‰, which resulted in higher TMFs (i.e., TMFs of 1.6-4.8 for Δ 15 N = 3.4‰ vs. 1.3-2.5 for Δ 15 N = 2‰).…”

Section: Literature Searchmentioning

confidence: 99%

“…In the case of PFOS, TMFs related to wet weight concentrations, and whole fish TMFs were available. By contrast, for mercury only fillet-based TMFs were available and the basis of the concentrations from which the TMF were derived differed: Jartun et al [46] derived a TMF for mercury based on wet weight concentrations, whereas the TMFs of Govaerts et al [13] and Guzzella et al [15] refer to lipid-normalized concentrations, and Jardine et al [41] report dry weight-based TMFs. Mazzoni et al [57] report wet weight and dry weight-based TMF for the same food web and found no significant differences between both.…”

Section: Tmfs Based On Different Ecosystem Types or Reference Valuesmentioning

confidence: 99%

“…For mercury, river TMFs are available for rivers in New Brunswick (Canada) [41] and Norway [13], and are based on dry weight and lipid-normalized mercury concentrations, respectively. For lake ecosystems, TMFs are available from Italy (wet weight-based [57] and lipid-based [15]) and Norway (wet weight-based [46]) ( Table 2).…”

Section: Tmfs Based On Different Ecosystem Types or Reference Valuesmentioning

confidence: 99%

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Selection and application of trophic magnification factors for priority substances to normalize freshwater fish monitoring data under the European Water Framework Directive: a case study

et al. 2020

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Background The European Water Framework Directive (WFD) requires the monitoring of biota—preferably fish—to check the compliance of tissue concentrations of priority substances (PS) against substance-specific environmental quality standards (EQSs). In monitoring programs, different fish species are covered, which often are secondary consumers with a trophic level (TL) of about 3. For harmonization, a normalization of monitoring data to a common trophic level is proposed, i.e., TL 4 (predatory fish) in freshwaters, so that data would be sufficiently protective. For normalization, the biomagnification properties of the chemicals can be considered by applying substance-specific trophic magnification factors (TMFs). Alternatively, TL-corrected biomagnification factors (BMFTLs) may be applied. Since it is impractical to derive site-specific TMFs or BMFTLs, often data from literature will be used for normalization. However, available literature values for TMFs and BMFTLs are quite varying. In the present study, the use of literature-derived TMFs and BMFTLs in data normalization is studied more closely. Results An extensive literature evaluation was conducted to identify appropriate TMFs for the WFD PS polybrominated diphenyl ethers (PBDE), hexachlorobenzene, perfluorooctane sulfonate (PFOS), dioxins and dioxin-like compounds (PCDD/F + dl-PCB), hexabromocyclododecane, and mercury. The TMFs eventually derived were applied to PS monitoring data sets of fish from different trophic levels (chub, bream, roach, and perch) from two German rivers. For comparison, PFOS and PBDE data were also normalized using literature-retrieved BMFTLs. Conclusions The evaluation illustrates that published TMFs and BMFTLs for WFD PS are quite variable and the selection of appropriate values for TL 4 normalization can be challenging. The normalized concentrations partly included large uncertainties when considering the range of selected TMFs, but indicated whether an EQS exceedance at TL 4 can be expected. Normalization of the fish monitoring data revealed that levels of substances accumulating in the food web (TMF or BMF > 1) can be underestimated when relying on fish with TL < 4 for EQS compliance assessment. The evaluation also revealed that TMF specifically derived for freshwater ecosystems in Europe would be advantageous. Field-derived BMFTLs seemed to be no appropriate alternative to TMFs, because they can vary even stronger than TMFs.

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Section: The Last Column Lists the Protection Goals On Which The Eqs mentioning

confidence: 99%

Section: Literature Searchmentioning

confidence: 99%

Section: Tmfs Based On Different Ecosystem Types or Reference Valuesmentioning

confidence: 99%

Section: Tmfs Based On Different Ecosystem Types or Reference Valuesmentioning

confidence: 99%

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Selection and application of trophic magnification factors for priority substances to normalize freshwater fish monitoring data under the European Water Framework Directive: a case study

et al. 2020

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“…Fish species play a pivotal ecological role in aquatic ecosystems and can accumulate to a great extent in a great number of lipophilic contaminants [4]. For this reason, fish species are commonly used to biomonitor the levels of organic contaminants worldwide and the potential implication for human health [5][6][7]. Although several monitoring surveys have demonstrated that the levels of some groups of halogenated compounds, such as PCBs and PBDEs, are declining in the marine ecosystems during the last decades [8][9][10], notable concentrations of these contaminants are still measured in fish from various geographical areas [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Legacy and Emerging Contaminants in Demersal Fish Species from Southern Norway and Implications for Food Safety

Parolini

Panseri

Gaeta

et al. 2020

Foods

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The present study aimed at measuring the levels of legacy and emerging contaminants in fillet samples from four demersal fish caught in two fishing sites from Southern Norway, in order to assess possible implications for food safety. Levels of organochlorine compounds (OCs), organophosphate pesticides (OPs), polychlorinated biphenyls (PCBs), polybromodiphenyl ethers (PBDE), per- and polyfluoroalkyl substances (PFASs), and polycyclic aromatic hydrocarbons (PAHs) were measured in fillet from Atlantic cod (Gadus morhua), European plaice (Pleuronectes platessa), lemon sole (Microstomus kitt), and European flounder (Platichthys flesus) specimens. A negligible contamination by all the investigated chemicals was noted in both the fishing sites, as very low levels of OCs, PCBs, and PFASs were noted in a limited number of individuals for each species. Considering the levels of contaminants measured in fillets of the four demersal fish species, negligible risk for human health for Norwegian consumers can be supposed.

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Patterns of PCB-138 Occurrence in the Breast Milk of Primiparae and Multiparae Using SHapley Additive exPlanations Analysis

Jovanović

Sarić

Romanić

et al. 2021

Artificial Intelligence: Theory and Applications

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Distribution and bioaccumulation of POPs and mercury in the Ga-Selati River (South Africa) and the rivers Gudbrandsdalslågen and Rena (Norway)

Cited by 45 publications

References 57 publications

Selection and application of trophic magnification factors for priority substances to normalize freshwater fish monitoring data under the European Water Framework Directive: a case study

Selection and application of trophic magnification factors for priority substances to normalize freshwater fish monitoring data under the European Water Framework Directive: a case study

Legacy and Emerging Contaminants in Demersal Fish Species from Southern Norway and Implications for Food Safety

Patterns of PCB-138 Occurrence in the Breast Milk of Primiparae and Multiparae Using SHapley Additive exPlanations Analysis

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