Modelling PCB bioaccumulation in a Baltic food web

Nfon, Erick; Cousins, Ian T.

doi:10.1016/j.envpol.2006.11.033

Cited by 38 publications

(29 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The large contribution of the variance in lipid content of fish to the variance in estimated BAF is consistent with literature (e.g., [13,14,53]) and indicates that estimation of BAFs in fish can be improved by including case-specific lipid contents when available. The large influence of the variance in lipid content is not surprising, given the success of fish bioaccumulation models that use K OW and lipid content as the only parameters [53].…”

Section: Contribution To Variancesupporting

confidence: 73%

“…With increasing K OW values, the influence of the chemical elimination rate by water (k X,out,w ) decreases while the influence of the variation in food assimilated on the uncertainty in the BAF estimation increases. A shift in the importance of chemical intake and elimination routes from water to food with increasing K OW has been observed earlier (e.g., [6,13,14]). …”

Section: Contribution To Variancementioning

confidence: 80%

“…Although several authors [12,14,49] reported the (potential) contribution of the uncertainty in dissolved concentrations to the uncertainty in estimation of internal concentrations, uncertainties in external concentrations are not expected to cause errors in BAF estimates, because the BAFs were expressed in terms of dissolved concentrations in the present study. The uncertainties in species weight cancel out in the calculation of the BAF.…”

Section: Uncertainty Rangesmentioning

confidence: 83%

“…Other authors also report the relevance of uncertainty in K OW for uncertainty ranges of BAFs [10,[13][14]45]. We considered K OW , a case specific input parameter that had no influence on model parameterization.…”

Section: Uncertainty Rangesmentioning

confidence: 99%

“…Uncertainties in species characteristics, substance characteristics, and uptake rate constants have also been propagated to uncertainty in bioaccumulation estimates, mostly by Monte Carlo simulation, where the probability distributions were often derived from location-specific values and literature ranges (e.g., [9,12]) or by default variation around the typical value [13][14][15]. Identifying the largest sources of uncertainty in bioaccumulation modelling further improves the model development by allowing researchers to focus on the most rewarding improvement options.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Parameter uncertainty in modeling bioaccumulation factors of fish

Hauck

Hendriks

Huijbregts

et al. 2011

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

We quantified the uncertainty due to biota-related parameters in estimated bioaccumulation factors (BAFs) of persistent organic pollutants for fish through Monte Carlo simulations. For this purpose, the bioaccumulation model OMEGA (Optimal Modeling for EcotoxicoloGical Applications) was parameterized based on data from the existing literature, analysis of allometric data, and maximum likelihood estimation. Lipid contents, fractions of food assimilated, the allometric rate exponent, normalized food intakes, respiration and growth dilution rates, and partial mass transfer resistances in water and lipid layers were included as uncertain parameters. The uncertainty in partial resistances was particularly important in the estimation of the rate constants for chemical intake from water by fish. Uncertainties in the fractions of food assimilated and partial water layer resistances from and to food were particularly important in the estimation of the rate constants of chemical intake from food. The uncertainty in the model outcomes for the bioaccumulation factors for fish was a factor of 10 (ratio of 95th and fifth percentile estimates), which was mainly caused by the uncertainty in the lipid fraction. For chemicals with a K(OW) of 10(3) to 10(6), the uncertainty in the lipid contents of fish accounted for more than 50% of the uncertainty in the estimated bioaccumulation factor. For chemicals with a high K(OW) (10(7) and higher), the fractions of food assimilated and partial resistances also contributed to uncertainty in the estimated bioaccumulation factor (up to 60%). A case study showed that uncertainty in estimated BAF for nonpersistent substances can be dominated by uncertainty in the rate constants for metabolic transformation.

show abstract

Section: Contribution To Variancesupporting

confidence: 73%

Section: Contribution To Variancementioning

confidence: 80%

Section: Uncertainty Rangesmentioning

confidence: 83%

Section: Uncertainty Rangesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Parameter uncertainty in modeling bioaccumulation factors of fish

Hauck

Hendriks

Huijbregts

et al. 2011

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

show abstract

Size‐dependent prey availability affects diet and performance of predatory fish at sea: a case study of Atlantic salmon

et al. 2018

View full text Add to dashboard Cite

Citation: Jacobson, P., A. G ardmark, J. € Ostergren, M. Casini, and M. Huss. 2018. Size-dependent prey availability affects diet and performance of predatory fish at sea: a case study of Atlantic salmon. Ecosphere 9(1):e02081. 10.1002/ecs2.2081Abstract. Identifying factors determining the performance of individuals is an essential part of resolving what drives population dynamics. For species undergoing ontogenetic shifts in resource and habitat use, this entails assessing individual performance in all habitats used. Whereas survival and growth of anadromous Atlantic salmon, Salmo salar L., in its juvenile, river habitat are known to depend on size-dependent foraging and food availability, individual performance of salmon in the growth habitat out at sea is commonly explained only by abiotic factors. Still, individuals undergo this habitat shift to grow large, suggesting performance should be food-dependent also in the growth habitat. Because fish communities are highly size-structured, the link between predators and their prey may depend on their respective body sizes. Here, we study whether the performance of Baltic Sea salmon in its growth habitat is food-and sizedependent, by combining extensive diet and body size data of Baltic salmon with spatially resolved monitoring data on abundance and size distribution of their main prey, herring, Clupea harengus L., and sprat, Sprattus sprattus L. We found that both the species and size composition of prey in the diet varied with salmon body size. By accounting for this size-dependent predation and the spatially varying size distribution of prey species, we could explain the variation in salmon diet composition among salmon individuals in different Baltic Sea basins and of different length. The proportion of sprat in diet of salmon was better explained by size-specific prey availability (SSP) than total prey biomass, especially for small salmon. Further, salmon body condition increased with SSP, whereas total prey biomass could not explain variation in the condition of salmon. These findings demonstrate that food-and size-dependent processes indeed can influence the performance of anadromous fish also in large marine systems. Thus, we argue that consideration of these processes, stretching across habitats, is important for understanding performance and dynamics of predatory fish in open aquatic systems, as well as for successful management of species such as Atlantic salmon.

show abstract

Simulating climate change‐induced alterations in bioaccumulation of organic contaminants in an Arctic marine food web

Borgå

Saloranta

Ruus

2010

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

Climate change is expected to alter environmental distribution of contaminants and their bioaccumulation due to changes in transport, partitioning, carbon pathways, and bioaccumulation process rates. Magnitude and direction of these changes and resulting overall bioaccumulation in food webs is currently not known. The present study investigates and quantifies the effect of climate change in terms of increased temperature and primary production (i.e., concentrations of particulate organic carbon, C(POC)), on bioaccumulation of organic contaminants in biota at various trophic levels. The present study covers only parts of the contaminant behavior that is influenced by climate change, and it was assumed that there were no changes in food web structure and in total air and water concentrations of organic contaminants. Therefore, other climate change-induced effects on net bioaccumulation, such as altered contaminant transport and food web structure, should be addressed in future studies. To determine the effect of climate change, a bioaccumulation model was used on the pelagic marine food web of the Arctic, where climate change is expected to occur fastest and to the largest magnitude. The effect of climate change on model parameters and processes, and on net bioaccumulation, were quantified for three modeling substances (gamma-hexachlorocyclohexane [HCH], polychlorinated biphenyl [PCB]-52, and PCB-153) for two possible climate scenarios. In conclusion, increased temperature and C(POC) reduced the overall bioaccumulation of organic contaminants in the Arctic marine food web, with the largest change being for PCB-52 and PCB-153. Reduced bioavailability, due to increased C(POC), was the most influential parameter for the less water soluble compounds. Increase in temperature resulted in an overall reduction in net bioaccumulation.

show abstract

Modelling PCB bioaccumulation in a Baltic food web

Cited by 38 publications

References 56 publications

Parameter uncertainty in modeling bioaccumulation factors of fish

Parameter uncertainty in modeling bioaccumulation factors of fish

Size‐dependent prey availability affects diet and performance of predatory fish at sea: a case study of Atlantic salmon

Simulating climate change‐induced alterations in bioaccumulation of organic contaminants in an Arctic marine food web

Contact Info

Product

Resources

About