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首页> 外文期刊>Environmental toxicology and chemistry >USING SULFUR STABLE ISOTOPES TO ASSESS MERCURY BIOACCUMULATION AND BIOMAGNIFICATION IN TEMPERATE LAKE FOOD WEBS
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USING SULFUR STABLE ISOTOPES TO ASSESS MERCURY BIOACCUMULATION AND BIOMAGNIFICATION IN TEMPERATE LAKE FOOD WEBS

机译：使用硫稳定同位素评估温控湖面食物网中的汞生物富集和生物放大

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Nitrogen and carbon stable isotopes (delta N-15, delta C-13) are commonly used to understand mercury (Hg) bioaccumulation and biomagnification in freshwater food webs. Though sulfur isotopes (delta S-34) can distinguish between energy sources from the water column (aqueous sulfate) and from sediments to freshwater organisms, little is known about whether delta S-34 can help interpret variable Hg concentrations in aquatic species or food webs. Seven acidic lakes in Kejimkujik National Park (Nova Scotia, Canada) were sampled for biota, water, and sediments in 2009 and 2010. Fishes, zooplankton, and macroinvertebrates were analyzed for delta S-34, delta N-15, delta C-13, and Hg (methyl Hg in invertebrates, total Hg in fishes); aqueous sulfate and profundal sediments were analyzed for delta S-34. Within lakes, mean delta S-34 values in sediments and sulfate differed between 0.53% and 1.98%, limiting their use as tracers of energy sources to the food webs. However, log-Hg and delta S-34 values were negatively related (slopes -0.14 to -0.35, R-2 0.20-0.39, p < 0.001-0.01) through each food web, and slopes were significantly different among lakes (analysis of covariance, lake x delta S-34 interaction term p = 0.04). Despite these relationships, multiple regression analyses within each taxon showed that biotic Hg concentrations were generally better predicted by delta N-15 and/or delta C-13. The results indicate that delta S-34 values are predictive of Hg concentrations in these food webs, although the mechanisms underlying these relationships warrant further study. (C) 2016 SETAC
机译：氮和碳稳定同位素（δN-15，δC-13）通常用于了解淡水食物网中汞（Hg）的生物累积和生物放大作用。尽管硫同位素（δS-34）可以区分水柱（硫酸水溶液）和沉积物到淡水生物的能源，但对于δS-34是否可以帮助解释水生物种或食物网中可变的汞浓度知之甚少。在2009年和2010年，对Kejimkujik国家公园（加拿大新斯科舍省）的七个酸性湖泊进行了生物群，水和沉积物采样。对鱼类，浮游动物和大型无脊椎动物的Delta S-34，Delta N-15，Delta C-13进行了分析。和Hg（无脊椎动物中的甲基Hg，鱼类中的总Hg）；分析了硫酸盐水溶液和深部沉积物的δS-34。在湖泊中，沉积物和硫酸盐的δ-S-34平均值在0.53％至1.98％之间，限制了它们用作食物网能源的示踪剂。但是，各食物网的log-Hg和δS-34值呈负相关（斜率-0.14至-0.35，R-2 0.20-0.39，p <0.001-0.01），并且各湖之间的斜率显着不同（协方差，湖泊x三角洲S-34相互作用项p = 0.04）。尽管存在这些关系，但每个分类单元内的多次回归分析表明，δN-15和/或δC-13通常可以更好地预测生物汞的浓度。结果表明，δ-S-34值可预测这些食物网中的汞浓度，尽管这些关系的潜在机制值得进一步研究。 （C）2016年SETAC

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