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首页> 外文期刊>Environmental Science: Processes & Impacts >Improving data resolution and statistical rigor in the analysis of bivalve shells as environmental archives
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Improving data resolution and statistical rigor in the analysis of bivalve shells as environmental archives

机译:在双壳动物作为环境档案的分析中提高数据分辨率和统计严谨性

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Bivalves secrete their shells in an annual fashion, resulting in discrete bands of growth within each shell. In doing so, they may incorporate trace elements in concentrations reflecting exposure. This may make it possible to use them as archives of environmental information, such as contamination events. In this study, we used laser ablation inductively coupled plasma-mass spectrometry to analyze trace elements (Cd, Cu, Mn, Pb and Zn) on a fly-scanning transect perpendicular to the growth annuli of the freshwater bivalve Elliptio hopetonensis collected from the Altamaha river system. Concentrations of Mn from multiple shells at each site were correlated and average Mn data series were formed. Periodicity of Mn data was determined and sampling errors removed using an autoregression model. The Mn data series at each site were shown to have regular fluctuations of high and low concentrations. Fluctuations were similar between the shells from the same site but different between shells from different sites, demonstrating that Mn deposition in the shells of £ hopetonensis follows a regular, seasonal pattern but that growth differs between sites with different environments. Cd, Cu, Pb and Zn could not be analyzed in a statistically robust manner. This is the first study to attempt to improve data resolution by using the fly-scanning approach and, additionally, the first to apply an autoregression model to Mn data from bivalve annuli. Further study is required to develop this approach for environmental monitoring.
机译:双壳类动物每年都分泌壳,导致每个壳内的生长带离散。这样做时,它们可能会以反映暴露的浓度并入痕量元素。这样可以将它们用作环境信息的存档,例如污染事件。在这项研究中,我们使用激光烧蚀电感耦合等离子体质谱法分析了垂直于从Altamaha收集的淡水双壳类Elliptio hopetonensis的生长环的飞行扫描断面上的痕量元素(Cd,Cu,Mn,Pb和Zn)。河流系统。将每个位置上多个壳中的锰浓度进行关联,并形成平均锰数据系列。确定了锰数据的周期性,并使用自回归模型消除了采样误差。每个位置的锰数据序列均显示出高浓度和低浓度的规律波动。同一地点的贝壳之间的波动相似,但不同地点的贝壳之间的波动不同,这表明£希望菌的贝壳中的锰沉积遵循规则的季节性模式,但不同环境的地点之间的生长有所不同。 Cd,Cu,Pb和Zn无法以统计上可靠的方式进行分析。这是第一个尝试通过使用飞行扫描方法来改善数据分辨率的研究,并且是第一个将自回归模型应用于双瓣环的Mn数据的研究。需要进一步研究来开发这种环境监测方法。

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