Modeling of Bioaccumulation in Marine Benthic Invertebrates Using a Multispecies Experimental Approach

被引:30
|
作者
Diepens, Noel J. [1 ]
Van den Heuvel-Greve, Martine J. [2 ]
Koelmans, Albert A. [1 ,2 ]
机构
[1] Wageningen Univ, Dept Environm Sci, Aquat Ecol & Water Qual Management Grp, NL-6700 AA Wageningen, Netherlands
[2] Wageningen UR, Inst Marine Resources & Ecosyst Studies, IMARES, NL-1970 AB Ijmuiden, Netherlands
关键词
SEDIMENT ACCUMULATION FACTORS; POLYCHLORINATED-BIPHENYLS; MACOMA-BALTHICA; ACTIVATED CARBON; NEANTHES-ARENACEODENTATA; LUMBRICULUS-VARIEGATUS; CONTAMINATED SEDIMENTS; PARTITION-COEFFICIENT; ORGANIC CONTAMINANTS; COROPHIUM-VOLUTATOR;
D O I
10.1021/acs.est.5b02500
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The causal links between species traits and bioaccumulation by marine invertebrates are poorly understood. We assessed these links by measuring and modeling polychlorinated biphenyl bioaccumulation by four marine benthic species. Uniformity of exposure was achieved by testing each species in the same aquarium, separated by enclosures, to ensure that the observed variability in bioaccumulation was due to species traits. The relative importance of chemical uptake from pore water or food (organic matter, OM) ingestion was manipulated by using artificial sediment with different OM contents. Biota sediment accumulation factors (BSAFs) ranged from 5 to 318, in the order Nereis virens < Arenicola marina approximate to Macoma balthica < Corophium volutator. Calibration of a kinetic model provided species-specific parameters that represented the key species traits, thus illustrating how models provide an opportunity to read across benthic species with different feeding strategies. Key traits included species-specific differentiation between (1) ingestion rates, (2) ingestion of suspended and settled OM, and (3) elimination rates. The high BSAF values and their concomitant variability across the species challenges approaches for exposure assessment based on pore water concentration analysis and equilibrium partition theory. We propose that combining multienclosure testing and modeling will substantially improve exposure assessment in sediment toxicity tests.
引用
收藏
页码:13575 / 13585
页数:11
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