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Freshwater diatom assemblages from seabird-inhabited ponds in Hudson Strait, sub-Arctic Canada

机译:从海峡海峡海峡居住的池塘的淡水硅藻矿,亚天际加拿大

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Nutrients and contaminants in wastes from seabird colonies can dramatically alter surrounding vegetation, water chemistry, and aquatic communities. Here we examine the effects of nesting Common Eiders (Somateria mollissima) on diatom assemblages from 21 ponds on islands in Hudson Strait, sub-Arctic Canada (63 degrees 12 ' N, 76 degrees 52 ' W). A total of 116 diatom taxa were identified, with assemblages dominated by benthic Diatoma and Nitzschia species typical of freshwater ponds influenced by seabird colonies. Canonical correspondence analysis (CCA), with forward selection and Monte Carlo permutation tests (999 repetitions), identified parameters correlated to seabird inputs, including specific conductivity, Al, and Cd concentrations, as the variables most closely linked to diatom species composition. A diatom-based conductivity inference model was developed using a weighted average with partial least squares (WA-PLS) model (r(boot)(2) = 0.723; RMSEP = 0.544) to describe the conductivity optima of the most commonly encountered taxa. Although we found increased numbers of eutrophilous taxa in highly eider-influenced ponds, the diatom assemblages were primarily influenced by conductivity, which was primarily linked to ocean spray, and statistical tests did not identify significant differences between the taxa of high and low eider-influenced sites (ANOSIM; p = 0.429; r = 0.009). This calibration set exhibits the potential use of diatoms as indicators of seabird abundance and density across breeding sites; however, in coastal ponds, ocean spray (and hence conductivity) appears to be a confounding factor affecting diatom assemblages.
机译:海鸟殖民地废物中的营养和污染物可以大大改变周围的植被,水化学和水生社区。在这里,我们研究巢般的普通兴(Somateria Mollissima)在哈德逊海峡岛屿岛上的21个池塘中筑巢普通兴(Somateria Mollissima)的影响(63度12'N,76度52'W)。共鉴定了116个硅藻毒征,其中包含由底栖菌落影响的淡水藻和典型的淡水池塘的底栖瘤和尼茨西亚。具有前进选择和蒙特卡罗置换测试(999重复)的规范对应分析(CCA),所识别与海鸟输入相关的参数,包括特定的导电性,Al和Cd浓度,作为与硅藻种组合物最密切相关的变量。使用具有部分最小二乘(WA-PLS)模型(R(靴)(2)= 0.723; RMSEP = 0.544)的加权平均进行了基于频率的电导率推理模型,以描述最常见的分类群的电导率。虽然我们发现在高度含量影响的池塘中的嗜酸性含量增加,但硅藻组合主要受电导率的影响,达到与海洋喷雾有关,统计测试没有识别高低潮气的征集基因群之间的显着差异网站(Anosim; P = 0.429; r = 0.009)。该校准集显示硅藻作为海鸟丰富和繁殖网站密度的指标;然而,在沿海池塘中,海洋喷雾(和因此电导率)似乎是影响硅藻组合的混淆因素。

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