Contribution of trace metals in structuring in situ macroinvertebrate community composition along a salinity gradient

Peeters, E.T.H.M.; Gardeniers, J.J.P.; Koelmans, Albert A.

doi:10.1002/etc.5620190429

Cited by 32 publications

(19 citation statements)

References 28 publications

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“…The more severe the concentrations of toxic metals to which naïve organisms are exposed, the more individuals will be killed initially and the longer it will take for tolerant organisms to repopulate. Thus the impact of metals on populations and communities can involve loss of sensitive individuals within a species as well as loss of sensitive species (Peeters et al 2000). Tolerance of biota to metals has occurred naturally as a result of evolutionary exposures to metals (Chapman and Wang 2000), and the genes enabling metal tolerance are found in most biota.…”

Section: Tolerancementioning

confidence: 99%

Conducting Ecological Risk Assessments of Inorganic Metals and Metalloids: Current Status

Chapman¹,

Wang

Janssen

et al. 2003

Human and Ecological Risk Assessment: An International Journal

143

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Ecological risk assessment (ERA) of inorganic metals and metalloids (metals) must be specific to these substances and cannot be generic because most metals are naturally occurring, some are essential, speciation affects bioavailability, and bioavailability is determined by both external environmental conditions and organism physiological/biological characteristics. Key information required for ERA of metals includes: emissions, pathways, and movements in the environment (Do metals accumulate in biota above background concentrations?); the relationship between internal dose and/or external concentration (Are these metals bioreactive?); and the incidence and severity of any effects (Are bioreactive metals likely to result in adverse or, in the case of essential metals, beneficial effects?) -ground-truthed in contaminated areas by field observations. Specific requirements for metals ERA are delineated for each ERA component (Hazard Identification, Exposure Analysis, Effects Analysis, Risk Characterization), updating Chapman and Wang (2000). In addition, key specific information required for ERA is delineated by major information category (conceptual diagrams, bioavailability, predicted environmental concentration [PEC], predicted no effect concentration [PNEC], tolerance, application [uncertainty] factors, risk characterization) relative to three different tiered, iterative levels of ERA: Problem Formulation, Screening Level ERA (SLERA), and Detailed Level ERA (DLERA). Although data gaps remain, a great deal of progress has been made in the last three years, forming the basis for substantial improvements to ERA for metals.

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Section: Tolerancementioning

confidence: 99%

Conducting Ecological Risk Assessments of Inorganic Metals and Metalloids: Current Status

Chapman¹,

Wang

Janssen

et al. 2003

Human and Ecological Risk Assessment: An International Journal

143

View full text Add to dashboard Cite

show abstract

“…For instance, the response of detritivore macroinvertebrate species, which is the most abundant functional group, to sediment-bound contam- inants depends on the gradients in environmental availability of trace metals rather than on total concentrations [16]. Ecological risk analysis requires information on spatial distribution of risk-related variables.…”

Section: Introductionmentioning

confidence: 99%

Spatial variation of metals and acid volatile sulfide in floodplain lake sediment

Griethuysen

Meijboom

Koelmans

2003

Enviro Toxic and Chemistry

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In risk assessment of aquatic sediments, much attention is paid to the immobilizing effect of acid volatile sulfide (AVS) on trace metals. The difference of AVS and simultaneously extracted metals (SEM) gives an indication of metal availability. In floodplain sediments, where changing redox conditions occur, AVS may play a major role in determining variation in metal availability. The importance of spatial heterogeneity has been recognized in risk assessment of trace-metal-polluted sediments. However, little is known about spatial variation of available metal fractions. We studied spatial variability of sediment, environmental conditions, total contaminant concentrations, and available metals (as SEM-AVS or SEM-AVS/f(oc)) in a floodplain lake. The top 5 cm of sediment was sampled at 43 locations. Data were analyzed with correlation and principal component analysis as well as with geostatistical methods. Trace metal and SEM concentrations and most sediment characteristics were more or less constant within 10%. In contrast, AVS concentrations were much more variable and showed a strong spatial dependence due to differences in lake depth, total sulfur pools, and redox potential (E(h)), which resulted in crucial differences in trace-metal availability within the lake. The spatial pattern of SEM-AVS deviates from total or normalized trace-metal patterns. This particularly has implications for risk assessment of sediments prone to dynamic hydrological conditions, where AVS concentrations are also variable in time.

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“…Borcard et al [11] presented a method for partitioning the variation in species abundance data into a spatial and an environmental component using canonical correspondence analysis. This method of variance partitioning was successfully applied to distinguish between variation explained by ecological factors, variation explained by contaminants, variation shared by ecological factors and contaminants, and unexplained variation [10, 12]. The present study addresses some new aspects in that it includes data from multiple water systems, analyzes macroinvertebrate communities in relation to ecological factors and different groups of contaminants, and analyzes macroinvertebrate communities in relation to the results of laboratory bioassays.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of bioassays versus contaminant concentrations in explaining the macroinvertebrate community structure in the Rhine‐Meuse delta, The Netherlands

Peeters

Dewitte

Koelmans

et al. 2001

Enviro Toxic and Chemistry

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It is often assumed that bioassays are better descriptors of sediment toxicity than toxicant concentrations and that ecological factors are more important than toxicants in structuring macroinvertebrate communities. In the period 1992 to 1995, data were collected in the enclosed Rhine-Meuse delta, The Netherlands, on macroinvertebrates, sediment toxicity, sediment contaminant concentrations, and ecological factors. The effect of various groups of pollutants (polycyclic aromatic hydrocarbons, trace metals, oil, polychlorinated biphenyls) and of ecological variables on the structure of the macroinvertebrate community were quantified. Ecological factors explained 17.3% of the macroinvertebrate variation, while contaminants explained 13.8%. Another 14.7% was explained by the covariation between ecological variables and contaminants. Polycyclic aromatic hydrocarbons explained a larger part of the variation than trace metals. The contributions of oil and polychlorinated biphenyls were small but significant. Elevated contaminant concentrations were significantly associated with differences in the macroinvertebrate food web structure. The response in bioassays (Vibrio fischeri, Daphnia magna, Chironomus riparius) was susceptible to certain contaminants but also to certain ecological factors. There was a weak correlation between in situ species composition and bioassays; 1.9% of in situ macroinvertebrate variation was explained by the bioassay responses. This seems to contradict the validity of using bioassays for a system-oriented risk assessment. Possible reasons for this discrepancy might be the manipulations of the sediment before the test and a higher pollutant tolerance of the in situ macroinvertebrates. Thus, macroinvertebrate field surveys and laboratory bioassays yield different types of information on ecotoxicological effects, and both are recommended in sediment risk assessment procedures.

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Contribution of trace metals in structuring in situ macroinvertebrate community composition along a salinity gradient

Cited by 32 publications

References 28 publications

Conducting Ecological Risk Assessments of Inorganic Metals and Metalloids: Current Status

Conducting Ecological Risk Assessments of Inorganic Metals and Metalloids: Current Status

Spatial variation of metals and acid volatile sulfide in floodplain lake sediment

Evaluation of bioassays versus contaminant concentrations in explaining the macroinvertebrate community structure in the Rhine‐Meuse delta, The Netherlands

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