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PREDICTED MIXTURE TOXIC PRESSURE RELATES TO OBSERVED FRACTION OF BENTHIC MACROFAUNA SPECIES IMPACTED BY CONTAMINANT MIXTURES

机译:预计的混合有毒压力与被污染物混合物影响的底栖大型动物群的分数有关

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摘要

Species sensitivity distributions (SSDs) quantify fractions of species potentially affected in contaminated environmental compartments using test species sensitivity data. The present study quantitatively describes associations between predicted and observed ecological impacts of contaminant mixtures, based on monitoring data of benthic macroinvertebrates. Local mixture toxic pressures (multisubstance potentially affected fraction of species [msPAF]) were quantified based on measured concentrations of 45 compounds (eight metals, 16 chlorinated organics, mineral oil, 16 polycyclic aromatic hydrocarbons, four polychlorinated biphenyls), using acute as well as chronic 50%-effective concentration-based SSD-modeling combined with bioavailability and mixture modeling. Acute and chronic toxic pressures were closely related. Generalized linear models (GLMs) were derived to describe taxon abundances as functions of environmental variables (including acute toxic pressure). Acute toxic pressure ranged from 0 to 42% and was related to abundance for 74% of the taxa. Habitat-abundance curves were generated using the GLMs and Monte Carlo simulation. Predicted abundances for the taxa were associated with acute mixture toxic pressure in various ways: negative, positive, and optimum abundance changes occurred. Acute toxic pressure (msPAF) was associated almost 1:1 with the observed fraction of taxa exhibiting an abundance reduction of 50% or more. The findings imply that an increase of mixture toxic pressure associates to increased ecological impacts in the field. This finding is important, given the societal relevance of SSD model outputs in environmental policies.
机译:物种敏感度分布(SSD)使用测试物种敏感度数据来量化在受污染的环境隔室中可能受影响的物种的分数。基于底栖大型无脊椎动物的监测数据,本研究定量描述了污染物混合物的预测和观察到的生态影响之间的关联。基于45种化合物(8种金属,16种氯化有机物,矿物油,16种多环芳烃,4种多氯联苯)的测量浓度,量化了本地混合物的毒性压力(物种的多物质潜在影响分数)[msPAF]。长期基于浓度的50%有效浓度SSD模型结合生物利用度和混合物模型。急性和慢性毒性压力密切相关。推导了广义线性模型(GLM),以将分类群丰度描述为环境变量(包括急性毒性压力)的函数。急性毒性压力范围从0到42%,与74%的分类单元的丰度有关。使用GLM和蒙特卡洛模拟生成栖息地丰度曲线。预测的分类单元的丰度通过各种方式与急性混合物毒性压力相关:发生负,正和最佳丰度变化。急性毒性压力(msPAF)与观察到的分类单元部分的丰度降低50%或以上的比例接近1:1。研究结果表明,混合物毒性压力的增加与田间生态影响的增加有关。考虑到SSD模型输出在环境政策中的社会相关性,这一发现很重要。

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