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营养级和个体食性是鱼类种群中 PCB 生物积累差异的驱动因素。

Trophic position and individual feeding habits as drivers of differential PCB bioaccumulation in fish populations.

机构信息

Univ. Savoie Mont-Blanc, LCME, 73000 Chambéry, France.

Univ. Savoie Mont-Blanc, INRA, CARRTEL, 73000 Chambéry, France.

出版信息

Sci Total Environ. 2019 Jul 15;674:472-481. doi: 10.1016/j.scitotenv.2019.04.196. Epub 2019 Apr 14.

Abstract

Despite PCBs being banned since the 1980's, some European peri-alpine lakes, and consequently their fish populations, are still contaminated by these xenobiotics. We investigated the relative contribution of physiological and trophic factors that could be implicated in fish PCB bioaccumulation in Lake Bourget (France), one of the most contaminated in Europe, by collecting Arctic char (n = 55) and European whitefish (n = 89) from 2013 to 2016. Concentrations of 7 indicator PCBs were 9-168 ng.g w.w in whitefish and 90-701 ng.g w.w in Arctic char. The fish trophic positions calculated from δ N values were positively correlated with PCB concentrations (r = 0.45; p < 0.001). A biomagnification model relying on TP and lipid content of fish was then designed, and it confirmed this result. A Bayesian mixing model based on δ C and δ N values was used to estimate the relative contribution of preys in the fish diet, which explained a significant proportion of the biomagnification model residuals (i.e., 17%). Zooplankton consumption was negatively correlated with PCB concentrations, whereas consumption of chironomids enhanced the PCB burden in fish. Correction of the biomagnification model for individual diets of fish increased the correlation between the predicted and measured fish PCB contents (R = 0.71; p < 0.001), highlighting the importance of fish feeding habits in the bioaccumulation process.

摘要

尽管多氯联苯自 20 世纪 80 年代以来已被禁止使用,但一些欧洲阿尔卑斯山周边湖泊及其鱼类仍受到这些外来污染物的污染。我们通过收集 2013 年至 2016 年期间来自 Bourget 湖(法国)的北极红点鲑(n = 55)和欧白鲑(n = 89),调查了可能导致鱼类体内多氯联苯生物积累的生理和营养因素的相对贡献。Bourget 湖是欧洲污染最严重的湖泊之一。这两种鱼体内的 7 种指示性多氯联苯浓度分别为 9-168ng·g w.w 和 90-701ng·g w.w。根据 δ N 值计算的鱼类营养位置与 PCB 浓度呈正相关(r = 0.45,p < 0.001)。然后,我们设计了一个依赖于鱼类 TP 和脂质含量的生物放大模型,该模型验证了这一结果。利用 δ C 和 δ N 值的贝叶斯混合模型来估计鱼类饮食中饵料的相对贡献,解释了生物放大模型残差的很大一部分(即 17%)。浮游动物的消耗与 PCB 浓度呈负相关,而摇蚊的消耗则增加了鱼类的 PCB 负担。对鱼类个体饮食进行生物放大模型校正,提高了预测和实测鱼类 PCB 含量之间的相关性(R = 0.71,p < 0.001),突出了鱼类摄食习惯在生物积累过程中的重要性。

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